Notts County · 2024/25

League Two: 20W 12D 14L · also in Playoffs, FA Cup, EFL Cup, EFL Trophy

Positions:GKDEFMIDFWD

Pass-map, progressive and carry metrics (Prog, Fwd/Lat/Back %, Car, ProgC) need per-action location data, which Sofascore only provides from 2025/26 — shown as “–” here.

Player	Apps	Min	Touches	Passes	%	Long%	Fwd%	Lat%	Back%	Key	Prog	Crosses	%	Long	%	Car	ProgC	T-on	T-on%	Chances	Shots	SoT%	G	A
Matthew Platt	45	4050	3886	2812/3251	86.50%	10.83%	–	–	–	8	–	2/4	50.00%	144/352	40.91%	–	–	4/6	66.67%	3	17	41.18%	2	0
Jacob Bedeau	44	3902	3526	2115/2573	82.20%	10.73%	–	–	–	21	–	10/53	18.87%	79/276	28.62%	–	–	20/47	42.55%	4	12	25.00%	0	3
Matt Palmer	43	3561	3716	2843/3105	91.56%	6.15%	–	–	–	72	–	56/206	27.18%	114/191	59.69%	–	–	11/31	35.48%	8	24	16.67%	0	4
George Abbott	40	3408	2634	1624/1883	86.25%	5.47%	–	–	–	44	–	4/20	20.00%	60/103	58.25%	–	–	24/66	36.36%	6	62	25.81%	5	6
Alex Bass	39	3430	1848	938/1411	66.48%	48.55%	–	–	–	3	–	0/0	–	221/685	32.26%	–	–	1/2	50.00%	1	0	–	0	1
Alassana Jatta	39	3343	998	433/537	80.63%	1.86%	–	–	–	34	–	0/1	0.00%	6/10	60.00%	–	–	27/49	55.10%	4	91	50.55%	19	4
Nick Tsaroulla	38	2395	1741	891/1062	83.90%	5.56%	–	–	–	39	–	19/130	14.62%	11/59	18.64%	–	–	34/63	53.97%	8	52	23.08%	2	2
David McGoldrick	35	2558	1773	922/1151	80.10%	6.52%	–	–	–	41	–	6/35	17.14%	43/75	57.33%	–	–	60/105	57.14%	9	124	36.29%	17	3
Conor Grant	32	1915	1049	521/660	78.94%	4.39%	–	–	–	31	–	4/24	16.67%	9/29	31.03%	–	–	12/29	41.38%	2	25	52.00%	4	3
Lewis Macari	31	2417	2217	1542/1738	88.72%	5.01%	–	–	–	11	–	7/30	23.33%	23/87	26.44%	–	–	4/10	40.00%	1	14	21.43%	0	1
Kellan Gordon	30	1667	1084	381/510	74.71%	10.20%	–	–	–	33	–	57/205	27.80%	7/52	13.46%	–	–	15/35	42.86%	5	15	26.67%	0	3
Jack Hinchy	25	1002	834	574/672	85.42%	7.89%	–	–	–	11	–	0/1	0.00%	25/53	47.17%	–	–	8/10	80.00%	1	6	16.67%	1	1
Sam Austin	23	1644	878	441/547	80.62%	4.20%	–	–	–	17	–	10/56	17.86%	4/23	17.39%	–	–	7/19	36.84%	4	20	45.00%	1	1
Will Jarvis	21	822	595	273/321	85.05%	8.10%	–	–	–	7	–	6/20	30.00%	14/26	53.85%	–	–	22/43	51.16%	1	24	25.00%	2	0
Jodi Jones	20	1172	904	424/530	80.00%	8.68%	–	–	–	23	–	14/102	13.73%	24/46	52.17%	–	–	29/64	45.31%	4	31	29.03%	5	3
Charlie Whitaker	20	1112	590	288/377	76.39%	3.71%	–	–	–	14	–	0/8	0.00%	5/14	35.71%	–	–	9/31	29.03%	0	27	29.63%	4	0
Dan Crowley	18	1537	1536	1113/1227	90.71%	4.16%	–	–	–	40	–	11/46	23.91%	27/51	52.94%	–	–	26/46	56.52%	12	37	29.73%	4	6
Rod McDonald	18	1263	1091	691/860	80.35%	13.37%	–	–	–	4	–	0/12	0.00%	43/115	37.39%	–	–	1/7	14.29%	1	6	33.33%	0	0
Curtis Edwards	16	583	314	196/235	83.40%	6.81%	–	–	–	9	–	0/0	–	12/16	75.00%	–	–	2/3	66.67%	1	3	0.00%	0	1
Jevani Brown	14	500	233	117/146	80.14%	3.42%	–	–	–	11	–	0/3	0.00%	3/5	60.00%	–	–	3/5	60.00%	0	11	36.36%	0	0
Mai Traore	12	311	115	45/59	76.27%	1.69%	–	–	–	4	–	1/1	100.00%	0/1	0.00%	–	–	0/1	0.00%	0	7	28.57%	0	2
Zak Johnson	10	468	412	320/343	93.29%	6.41%	–	–	–	0	–	0/1	0.00%	16/22	72.73%	–	–	1/2	50.00%	0	0	–	0	0
Cedwyn Scott	10	337	136	68/80	85.00%	3.75%	–	–	–	2	–	0/2	0.00%	2/3	66.67%	–	–	2/5	40.00%	0	8	12.50%	0	0
Sam Slocombe	8	710	347	170/259	65.64%	50.97%	–	–	–	0	–	0/0	–	44/132	33.33%	–	–	0/0	–	0	0	–	0	0
Josh Martin	8	417	281	156/183	85.25%	5.46%	–	–	–	9	–	4/16	25.00%	3/10	30.00%	–	–	6/14	42.86%	2	13	23.08%	1	2
Lucas Ness	7	455	399	249/292	85.27%	8.22%	–	–	–	0	–	0/0	–	11/24	45.83%	–	–	1/2	50.00%	0	6	0.00%	0	0
Scott Robertson	7	319	217	154/172	89.53%	4.07%	–	–	–	5	–	0/3	0.00%	3/7	42.86%	–	–	1/2	50.00%	0	4	25.00%	1	0
Robbie Cundy	7	169	143	105/116	90.52%	6.03%	–	–	–	1	–	0/0	–	5/7	71.43%	–	–	0/1	0.00%	0	2	50.00%	0	0
Adam Chicksen	2	132	104	73/79	92.41%	2.53%	–	–	–	1	–	1/6	16.67%	1/2	50.00%	–	–	0/0	–	0	0	–	0	0
Madou Cisse	2	65	32	13/14	92.86%	7.14%	–	–	–	1	–	0/2	0.00%	1/1	100.00%	–	–	1/3	33.33%	0	0	–	0	0

Player	Apps	Min	Touches	Passes	%	Long%	Fwd%	Lat%	Back%	Key	Prog	Crosses	%	Long	%	Car	ProgC	T-on	T-on%	Chances	Shots	SoT%	G	A
Matthew Platt	45	4050	86.36	72.24	86.50%	10.83%	–	–	–	0.18	–	0.09	50.00%	7.82	40.91%	–	–	0.13	66.67%	0.07	0.38	41.18%	0.04	0.00
Jacob Bedeau	44	3902	81.33	59.35	82.20%	10.73%	–	–	–	0.48	–	1.22	18.87%	6.37	28.62%	–	–	1.08	42.55%	0.09	0.28	25.00%	0.00	0.07
Matt Palmer	43	3561	93.92	78.48	91.56%	6.15%	–	–	–	1.82	–	5.21	27.18%	4.83	59.69%	–	–	0.78	35.48%	0.20	0.61	16.67%	0.00	0.10
George Abbott	40	3408	69.56	49.73	86.25%	5.47%	–	–	–	1.16	–	0.53	20.00%	2.72	58.25%	–	–	1.74	36.36%	0.16	1.64	25.81%	0.13	0.16
Alex Bass	39	3430	48.49	37.02	66.48%	48.55%	–	–	–	0.08	–	0.00	–	17.97	32.26%	–	–	0.05	50.00%	0.03	0.00	–	0.00	0.03
Alassana Jatta	39	3343	26.87	14.46	80.63%	1.86%	–	–	–	0.92	–	0.03	0.00%	0.27	60.00%	–	–	1.32	55.10%	0.11	2.45	50.55%	0.51	0.11
Nick Tsaroulla	38	2395	65.42	39.91	83.90%	5.56%	–	–	–	1.47	–	4.89	14.62%	2.22	18.64%	–	–	2.37	53.97%	0.30	1.95	23.08%	0.08	0.08
David McGoldrick	35	2558	62.38	40.50	80.10%	6.52%	–	–	–	1.44	–	1.23	17.14%	2.64	57.33%	–	–	3.69	57.14%	0.32	4.36	36.29%	0.60	0.11
Conor Grant	32	1915	49.30	31.02	78.94%	4.39%	–	–	–	1.46	–	1.13	16.67%	1.36	31.03%	–	–	1.36	41.38%	0.09	1.17	52.00%	0.19	0.14
Lewis Macari	31	2417	82.55	64.72	88.72%	5.01%	–	–	–	0.41	–	1.12	23.33%	3.24	26.44%	–	–	0.37	40.00%	0.04	0.52	21.43%	0.00	0.04
Kellan Gordon	30	1667	58.52	27.53	74.71%	10.20%	–	–	–	1.78	–	11.07	27.80%	2.81	13.46%	–	–	1.89	42.86%	0.27	0.81	26.67%	0.00	0.16
Jack Hinchy	25	1002	74.91	60.36	85.42%	7.89%	–	–	–	0.99	–	0.09	0.00%	4.76	47.17%	–	–	0.90	80.00%	0.09	0.54	16.67%	0.09	0.09
Sam Austin	23	1644	48.07	29.95	80.62%	4.20%	–	–	–	0.93	–	3.07	17.86%	1.26	17.39%	–	–	1.04	36.84%	0.22	1.09	45.00%	0.05	0.05
Will Jarvis	21	822	65.15	35.15	85.05%	8.10%	–	–	–	0.77	–	2.19	30.00%	2.85	53.85%	–	–	4.71	51.16%	0.11	2.63	25.00%	0.22	0.00
Jodi Jones	20	1172	69.42	40.70	80.00%	8.68%	–	–	–	1.77	–	7.83	13.73%	3.53	52.17%	–	–	4.91	45.31%	0.31	2.38	29.03%	0.38	0.23
Charlie Whitaker	20	1112	47.75	30.51	76.39%	3.71%	–	–	–	1.13	–	0.65	0.00%	1.13	35.71%	–	–	2.51	29.03%	0.00	2.19	29.63%	0.32	0.00
Dan Crowley	18	1537	89.94	71.85	90.71%	4.16%	–	–	–	2.34	–	2.69	23.91%	2.99	52.94%	–	–	2.69	56.52%	0.70	2.17	29.73%	0.23	0.35
Rod McDonald	18	1263	77.74	61.28	80.35%	13.37%	–	–	–	0.29	–	0.86	0.00%	8.19	37.39%	–	–	0.50	14.29%	0.07	0.43	33.33%	0.00	0.00
Curtis Edwards	16	583	48.47	36.28	83.40%	6.81%	–	–	–	1.39	–	0.00	–	2.47	75.00%	–	–	0.46	66.67%	0.15	0.46	0.00%	0.00	0.15
Jevani Brown	14	500	41.94	26.28	80.14%	3.42%	–	–	–	1.98	–	0.54	0.00%	0.90	60.00%	–	–	0.90	60.00%	0.00	1.98	36.36%	0.00	0.00
Mai Traore	12	311	33.28	17.07	76.27%	1.69%	–	–	–	1.16	–	0.29	100.00%	0.29	0.00%	–	–	0.29	0.00%	0.00	2.03	28.57%	0.00	0.58
Zak Johnson	10	468	79.23	65.96	93.29%	6.41%	–	–	–	0.00	–	0.19	0.00%	4.23	72.73%	–	–	0.38	50.00%	0.00	0.00	–	0.00	0.00
Cedwyn Scott	10	337	36.32	21.36	85.00%	3.75%	–	–	–	0.53	–	0.53	0.00%	0.80	66.67%	–	–	1.34	40.00%	0.00	2.14	12.50%	0.00	0.00
Sam Slocombe	8	710	43.99	32.83	65.64%	50.97%	–	–	–	0.00	–	0.00	–	16.73	33.33%	–	–	0.00	–	0.00	0.00	–	0.00	0.00
Josh Martin	8	417	60.65	39.50	85.25%	5.46%	–	–	–	1.94	–	3.45	25.00%	2.16	30.00%	–	–	3.02	42.86%	0.43	2.81	23.08%	0.22	0.43
Lucas Ness	7	455	78.92	57.76	85.27%	8.22%	–	–	–	0.00	–	0.00	–	4.75	45.83%	–	–	0.40	50.00%	0.00	1.19	0.00%	0.00	0.00
Scott Robertson	7	319	61.22	48.53	89.53%	4.07%	–	–	–	1.41	–	0.85	0.00%	1.97	42.86%	–	–	0.56	50.00%	0.00	1.13	25.00%	0.28	0.00
Robbie Cundy	7	169	76.15	61.78	90.52%	6.03%	–	–	–	0.53	–	0.00	–	3.73	71.43%	–	–	0.53	0.00%	0.00	1.07	50.00%	0.00	0.00
Adam Chicksen	2	132	70.91	53.86	92.41%	2.53%	–	–	–	0.68	–	4.09	16.67%	1.36	50.00%	–	–	0.00	–	0.00	0.00	–	0.00	0.00
Madou Cisse	2	65	44.31	19.38	92.86%	7.14%	–	–	–	1.38	–	2.77	0.00%	1.38	100.00%	–	–	4.15	33.33%	0.00	0.00	–	0.00	0.00

Player	Apps	Min	Touches	Passes	%	Long%	Fwd%	Lat%	Back%	Key	Prog	Crosses	%	Long	%	Car	ProgC	T-on	T-on%	Chances	Shots	SoT%	G	A
Matthew Platt	48	4256	4101	2945/3406	86.47%	10.92%	–	–	–	8	–	2/4	50.00%	149/372	40.05%	–	–	4/6	66.67%	3	19	36.84%	2	0
Jacob Bedeau	47	4172	3774	2255/2750	82.00%	10.87%	–	–	–	21	–	10/55	18.18%	86/299	28.76%	–	–	20/50	40.00%	4	13	23.08%	0	3
Matt Palmer	45	3741	3856	2949/3217	91.67%	6.19%	–	–	–	77	–	58/213	27.23%	120/199	60.30%	–	–	11/32	34.38%	8	25	16.00%	0	4
George Abbott	42	3588	2787	1712/1994	85.86%	5.77%	–	–	–	45	–	4/21	19.05%	63/115	54.78%	–	–	25/74	33.78%	6	66	25.76%	5	6
Alex Bass	41	3610	1936	992/1472	67.39%	47.42%	–	–	–	3	–	0/0	–	227/698	32.52%	–	–	1/2	50.00%	1	0	–	0	1
Alassana Jatta	41	3449	1024	439/548	80.11%	2.19%	–	–	–	35	–	0/1	0.00%	6/12	50.00%	–	–	27/50	54.00%	4	92	51.09%	20	4
Nick Tsaroulla	40	2511	1809	925/1101	84.01%	5.36%	–	–	–	41	–	20/134	14.93%	11/59	18.64%	–	–	35/65	53.85%	8	56	21.43%	2	2
David McGoldrick	37	2737	1897	991/1231	80.50%	6.74%	–	–	–	46	–	6/37	16.22%	49/83	59.04%	–	–	62/113	54.87%	12	128	35.94%	17	4
Conor Grant	36	2194	1216	604/764	79.06%	4.97%	–	–	–	37	–	5/26	19.23%	12/38	31.58%	–	–	15/34	44.12%	2	34	52.94%	5	3
Lewis Macari	35	2719	2489	1721/1945	88.48%	5.19%	–	–	–	11	–	9/34	26.47%	27/101	26.73%	–	–	4/11	36.36%	1	15	20.00%	0	1
Kellan Gordon	31	1724	1117	392/526	74.52%	10.65%	–	–	–	34	–	58/209	27.75%	9/56	16.07%	–	–	16/37	43.24%	5	19	31.58%	1	3
Jack Hinchy	29	1308	1081	738/864	85.42%	8.80%	–	–	–	13	–	1/4	25.00%	38/76	50.00%	–	–	9/12	75.00%	1	6	16.67%	1	1
Sam Austin	27	1950	1038	535/657	81.43%	5.02%	–	–	–	22	–	11/59	18.64%	7/33	21.21%	–	–	7/25	28.00%	4	27	40.74%	3	1
Jodi Jones	23	1416	1081	497/618	80.42%	9.22%	–	–	–	26	–	15/122	12.30%	32/57	56.14%	–	–	32/73	43.84%	6	40	27.50%	5	4
Will Jarvis	23	876	639	297/349	85.10%	7.74%	–	–	–	9	–	6/22	27.27%	15/27	55.56%	–	–	26/47	55.32%	2	25	24.00%	2	0
Rod McDonald	22	1501	1331	855/1060	80.66%	13.30%	–	–	–	5	–	0/12	0.00%	51/141	36.17%	–	–	2/9	22.22%	1	6	33.33%	0	0
Charlie Whitaker	21	1202	637	311/403	77.17%	3.47%	–	–	–	16	–	0/8	0.00%	5/14	35.71%	–	–	10/35	28.57%	0	28	28.57%	4	0
Dan Crowley	19	1563	1563	1132/1248	90.71%	4.17%	–	–	–	42	–	12/47	25.53%	27/52	51.92%	–	–	27/48	56.25%	12	38	31.58%	4	7
Curtis Edwards	17	673	393	257/306	83.99%	7.52%	–	–	–	9	–	0/0	–	16/23	69.57%	–	–	2/3	66.67%	1	3	0.00%	0	1
Jevani Brown	16	676	298	152/187	81.28%	3.74%	–	–	–	12	–	1/6	16.67%	4/7	57.14%	–	–	4/8	50.00%	0	15	33.33%	0	0
Mai Traore	14	382	129	50/65	76.92%	1.54%	–	–	–	4	–	1/1	100.00%	0/1	0.00%	–	–	0/2	0.00%	0	8	25.00%	0	2
Sam Slocombe	12	1070	590	321/459	69.93%	45.32%	–	–	–	0	–	0/0	–	71/208	34.13%	–	–	0/0	–	0	0	–	0	0
Cedwyn Scott	12	425	170	82/97	84.54%	3.09%	–	–	–	2	–	0/2	0.00%	2/3	66.67%	–	–	3/7	42.86%	0	9	22.22%	1	0
Robbie Cundy	10	436	426	318/355	89.58%	4.51%	–	–	–	1	–	0/0	–	9/16	56.25%	–	–	2/4	50.00%	0	4	25.00%	0	0
Zak Johnson	10	468	412	320/343	93.29%	6.41%	–	–	–	0	–	0/1	0.00%	16/22	72.73%	–	–	1/2	50.00%	0	0	–	0	0
Josh Martin	10	594	382	209/245	85.31%	6.53%	–	–	–	14	–	7/21	33.33%	8/16	50.00%	–	–	10/19	52.63%	2	15	20.00%	1	3
Lucas Ness	9	563	497	312/361	86.43%	8.31%	–	–	–	0	–	1/1	100.00%	14/30	46.67%	–	–	1/2	50.00%	0	7	0.00%	0	0
Scott Robertson	8	339	247	176/199	88.44%	5.53%	–	–	–	7	–	0/3	0.00%	4/11	36.36%	–	–	1/2	50.00%	0	4	25.00%	1	0
Madou Cisse	6	283	147	63/75	84.00%	8.00%	–	–	–	5	–	3/8	37.50%	3/6	50.00%	–	–	4/10	40.00%	1	4	0.00%	0	0
Adam Chicksen	4	286	221	143/159	89.94%	5.66%	–	–	–	2	–	2/8	25.00%	4/9	44.44%	–	–	1/1	100.00%	1	0	–	0	0
Ryley Reynolds	3	254	113	54/65	83.08%	6.15%	–	–	–	4	–	0/2	0.00%	2/4	50.00%	–	–	2/7	28.57%	0	3	0.00%	0	1
Daniel Adiefeh	3	194	96	67/81	82.72%	6.17%	–	–	–	1	–	0/0	–	4/5	80.00%	–	–	0/3	0.00%	0	0	–	0	0
Kameron Muir	3	44	22	6/10	60.00%	0.00%	–	–	–	0	–	0/0	–	0/0	–	–	–	0/1	0.00%	0	1	0.00%	0	0
Themba Nyirenda	2	135	110	65/81	80.25%	6.17%	–	–	–	0	–	0/0	–	1/5	20.00%	–	–	1/1	100.00%	0	1	0.00%	0	0
James Sanderson	2	53	18	6/8	75.00%	12.50%	–	–	–	0	–	0/0	–	1/1	100.00%	–	–	0/1	0.00%	0	0	–	0	0
Cassius Cisse	2	21	13	8/9	88.89%	0.00%	–	–	–	0	–	0/0	–	0/0	–	–	–	0/0	–	0	0	–	0	0
Daniel Emmanuel	1	88	34	9/15	60.00%	0.00%	–	–	–	0	–	0/2	0.00%	0/0	–	–	–	0/1	0.00%	0	1	0.00%	0	0
Charlie Gill	1	62	26	13/15	86.67%	0.00%	–	–	–	0	–	0/0	–	0/0	–	–	–	0/1	0.00%	0	1	100.00%	0	0
Archie Aves	1	27	12	9/9	100.00%	0.00%	–	–	–	0	–	0/0	–	0/0	–	–	–	0/0	–	0	0	–	0	0
Zac Denman	1	28	9	2/5	40.00%	20.00%	–	–	–	0	–	0/0	–	0/1	0.00%	–	–	1/2	50.00%	0	0	–	0	0
Junior Morias	1	20	5	2/2	100.00%	0.00%	–	–	–	0	–	0/0	–	0/0	–	–	–	0/1	0.00%	0	0	–	0	0
Kieran Cooney	1	2	2	0/0	0.00%	0.00%	–	–	–	0	–	0/0	–	0/0	–	–	–	0/1	0.00%	0	0	–	0	0

Player	Apps	Min	Touches	Passes	%	Long%	Fwd%	Lat%	Back%	Key	Prog	Crosses	%	Long	%	Car	ProgC	T-on	T-on%	Chances	Shots	SoT%	G	A
Matthew Platt	48	4256	86.72	72.03	86.47%	10.92%	–	–	–	0.17	–	0.08	50.00%	7.87	40.05%	–	–	0.13	66.67%	0.06	0.40	36.84%	0.04	0.00
Jacob Bedeau	47	4172	81.41	59.32	82.00%	10.87%	–	–	–	0.45	–	1.19	18.18%	6.45	28.76%	–	–	1.08	40.00%	0.09	0.28	23.08%	0.00	0.06
Matt Palmer	45	3741	92.77	77.39	91.67%	6.19%	–	–	–	1.85	–	5.12	27.23%	4.79	60.30%	–	–	0.77	34.38%	0.19	0.60	16.00%	0.00	0.10
George Abbott	42	3588	69.91	50.02	85.86%	5.77%	–	–	–	1.13	–	0.53	19.05%	2.88	54.78%	–	–	1.86	33.78%	0.15	1.66	25.76%	0.13	0.15
Alex Bass	41	3610	48.27	36.70	67.39%	47.42%	–	–	–	0.07	–	0.00	–	17.40	32.52%	–	–	0.05	50.00%	0.02	0.00	–	0.00	0.02
Alassana Jatta	41	3449	26.72	14.30	80.11%	2.19%	–	–	–	0.91	–	0.03	0.00%	0.31	50.00%	–	–	1.30	54.00%	0.10	2.40	51.09%	0.52	0.10
Nick Tsaroulla	40	2511	64.84	39.46	84.01%	5.36%	–	–	–	1.47	–	4.80	14.93%	2.11	18.64%	–	–	2.33	53.85%	0.29	2.01	21.43%	0.07	0.07
David McGoldrick	37	2737	62.38	40.48	80.50%	6.74%	–	–	–	1.51	–	1.22	16.22%	2.73	59.04%	–	–	3.72	54.87%	0.39	4.21	35.94%	0.56	0.13
Conor Grant	36	2194	49.88	31.34	79.06%	4.97%	–	–	–	1.52	–	1.07	19.23%	1.56	31.58%	–	–	1.39	44.12%	0.08	1.39	52.94%	0.21	0.12
Lewis Macari	35	2719	82.39	64.38	88.48%	5.19%	–	–	–	0.36	–	1.13	26.47%	3.34	26.73%	–	–	0.36	36.36%	0.03	0.50	20.00%	0.00	0.03
Kellan Gordon	31	1724	58.31	27.46	74.52%	10.65%	–	–	–	1.77	–	10.91	27.75%	2.92	16.07%	–	–	1.93	43.24%	0.26	0.99	31.58%	0.05	0.16
Jack Hinchy	29	1308	74.38	59.45	85.42%	8.80%	–	–	–	0.89	–	0.28	25.00%	5.23	50.00%	–	–	0.83	75.00%	0.07	0.41	16.67%	0.07	0.07
Sam Austin	27	1950	47.91	30.32	81.43%	5.02%	–	–	–	1.02	–	2.72	18.64%	1.52	21.21%	–	–	1.15	28.00%	0.18	1.25	40.74%	0.14	0.05
Jodi Jones	23	1416	68.71	39.28	80.42%	9.22%	–	–	–	1.65	–	7.75	12.30%	3.62	56.14%	–	–	4.64	43.84%	0.38	2.54	27.50%	0.32	0.25
Will Jarvis	23	876	65.65	35.86	85.10%	7.74%	–	–	–	0.92	–	2.26	27.27%	2.77	55.56%	–	–	4.83	55.32%	0.21	2.57	24.00%	0.21	0.00
Rod McDonald	22	1501	79.81	63.56	80.66%	13.30%	–	–	–	0.30	–	0.72	0.00%	8.45	36.17%	–	–	0.54	22.22%	0.06	0.36	33.33%	0.00	0.00
Charlie Whitaker	21	1202	47.70	30.17	77.17%	3.47%	–	–	–	1.20	–	0.60	0.00%	1.05	35.71%	–	–	2.62	28.57%	0.00	2.10	28.57%	0.30	0.00
Dan Crowley	19	1563	90.00	71.86	90.71%	4.17%	–	–	–	2.42	–	2.71	25.53%	2.99	51.92%	–	–	2.76	56.25%	0.69	2.19	31.58%	0.23	0.40
Curtis Edwards	17	673	52.56	40.92	83.99%	7.52%	–	–	–	1.20	–	0.00	–	3.08	69.57%	–	–	0.40	66.67%	0.13	0.40	0.00%	0.00	0.13
Jevani Brown	16	676	39.67	24.90	81.28%	3.74%	–	–	–	1.60	–	0.80	16.67%	0.93	57.14%	–	–	1.07	50.00%	0.00	2.00	33.33%	0.00	0.00
Mai Traore	14	382	30.39	15.31	76.92%	1.54%	–	–	–	0.94	–	0.24	100.00%	0.24	0.00%	–	–	0.47	0.00%	0.00	1.88	25.00%	0.00	0.47
Sam Slocombe	12	1070	49.63	38.61	69.93%	45.32%	–	–	–	0.00	–	0.00	–	17.50	34.13%	–	–	0.00	–	0.00	0.00	–	0.00	0.00
Cedwyn Scott	12	425	36.00	20.54	84.54%	3.09%	–	–	–	0.42	–	0.42	0.00%	0.64	66.67%	–	–	1.48	42.86%	0.00	1.91	22.22%	0.21	0.00
Robbie Cundy	10	436	87.94	73.28	89.58%	4.51%	–	–	–	0.21	–	0.00	–	3.30	56.25%	–	–	0.83	50.00%	0.00	0.83	25.00%	0.00	0.00
Zak Johnson	10	468	79.23	65.96	93.29%	6.41%	–	–	–	0.00	–	0.19	0.00%	4.23	72.73%	–	–	0.38	50.00%	0.00	0.00	–	0.00	0.00
Josh Martin	10	594	57.88	37.12	85.31%	6.53%	–	–	–	2.12	–	3.18	33.33%	2.42	50.00%	–	–	2.88	52.63%	0.30	2.27	20.00%	0.15	0.45
Lucas Ness	9	563	79.45	57.71	86.43%	8.31%	–	–	–	0.00	–	0.16	100.00%	4.80	46.67%	–	–	0.32	50.00%	0.00	1.12	0.00%	0.00	0.00
Scott Robertson	8	339	65.58	52.83	88.44%	5.53%	–	–	–	1.86	–	0.80	0.00%	2.92	36.36%	–	–	0.53	50.00%	0.00	1.06	25.00%	0.27	0.00
Madou Cisse	6	283	46.75	23.85	84.00%	8.00%	–	–	–	1.59	–	2.54	37.50%	1.91	50.00%	–	–	3.18	40.00%	0.32	1.27	0.00%	0.00	0.00
Adam Chicksen	4	286	69.55	50.03	89.94%	5.66%	–	–	–	0.63	–	2.52	25.00%	2.83	44.44%	–	–	0.31	100.00%	0.31	0.00	–	0.00	0.00
Ryley Reynolds	3	254	40.04	23.03	83.08%	6.15%	–	–	–	1.42	–	0.71	0.00%	1.42	50.00%	–	–	2.48	28.57%	0.00	1.06	0.00%	0.00	0.35
Daniel Adiefeh	3	194	44.54	37.58	82.72%	6.17%	–	–	–	0.46	–	0.00	–	2.32	80.00%	–	–	1.39	0.00%	0.00	0.00	–	0.00	0.00
Kameron Muir	3	44	45.00	20.45	60.00%	0.00%	–	–	–	0.00	–	0.00	–	0.00	–	–	–	2.05	0.00%	0.00	2.05	0.00%	0.00	0.00
Themba Nyirenda	2	135	73.33	54.00	80.25%	6.17%	–	–	–	0.00	–	0.00	–	3.33	20.00%	–	–	0.67	100.00%	0.00	0.67	0.00%	0.00	0.00
James Sanderson	2	53	30.57	13.58	75.00%	12.50%	–	–	–	0.00	–	0.00	–	1.70	100.00%	–	–	1.70	0.00%	0.00	0.00	–	0.00	0.00
Cassius Cisse	2	21	55.71	38.57	88.89%	0.00%	–	–	–	0.00	–	0.00	–	0.00	–	–	–	0.00	–	0.00	0.00	–	0.00	0.00
Daniel Emmanuel	1	88	34.77	15.34	60.00%	0.00%	–	–	–	0.00	–	2.05	0.00%	0.00	–	–	–	1.02	0.00%	0.00	1.02	0.00%	0.00	0.00
Charlie Gill	1	62	37.74	21.77	86.67%	0.00%	–	–	–	0.00	–	0.00	–	0.00	–	–	–	1.45	0.00%	0.00	1.45	100.00%	0.00	0.00
Archie Aves	1	27	40.00	30.00	100.00%	0.00%	–	–	–	0.00	–	0.00	–	0.00	–	–	–	0.00	–	0.00	0.00	–	0.00	0.00
Zac Denman	1	28	28.93	16.07	40.00%	20.00%	–	–	–	0.00	–	0.00	–	3.21	0.00%	–	–	6.43	50.00%	0.00	0.00	–	0.00	0.00
Junior Morias	1	20	22.50	9.00	100.00%	0.00%	–	–	–	0.00	–	0.00	–	0.00	–	–	–	4.50	0.00%	0.00	0.00	–	0.00	0.00
Kieran Cooney	1	2	90.00	0.00	0.00%	0.00%	–	–	–	0.00	–	0.00	–	0.00	–	–	–	45.00	0.00%	0.00	0.00	–	0.00	0.00

Player	Apps	Min	Tackles	Tkl%	Int	Clr	Blk	Rec	Aerial	Aer%	Duel	Duel%	Disp	Past	Fls
Matthew Platt	45	4050	45/71	63.38%	33	299	39	188	188/276	68.12%	300/444	67.57%	5	8	42
Jacob Bedeau	44	3902	52/85	61.18%	30	178	28	124	114/201	56.72%	247/433	57.04%	17	18	41
Matt Palmer	43	3561	32/49	65.31%	21	29	17	220	17/57	29.82%	114/264	43.18%	30	32	28
George Abbott	40	3408	58/100	58.00%	64	56	40	195	29/72	40.28%	201/400	50.25%	38	36	44
Alex Bass	39	3430	0/0	–	0	24	0	406	15/15	100.00%	20/24	83.33%	0	2	1
Alassana Jatta	39	3343	12/23	52.17%	4	38	21	74	72/206	34.95%	144/403	35.73%	48	11	49
Nick Tsaroulla	38	2395	23/37	62.16%	13	37	24	91	15/33	45.45%	133/259	51.35%	47	6	27
David McGoldrick	35	2558	23/34	67.65%	10	35	37	96	54/124	43.55%	171/388	44.07%	51	16	41
Conor Grant	32	1915	26/48	54.17%	9	20	12	80	15/47	31.91%	105/246	42.68%	48	23	21
Lewis Macari	31	2417	17/29	58.62%	31	93	15	74	55/99	55.56%	105/186	56.45%	8	14	10
Kellan Gordon	30	1667	16/24	66.67%	5	23	11	64	10/18	55.56%	81/144	56.25%	19	5	15
Jack Hinchy	25	1002	24/37	64.86%	9	26	5	42	10/24	41.67%	66/115	57.39%	7	15	13
Sam Austin	23	1644	14/21	66.67%	13	19	7	61	11/21	52.38%	55/105	52.38%	10	9	10
Will Jarvis	21	822	13/29	44.83%	3	10	16	38	4/16	25.00%	62/129	48.06%	16	10	8
Jodi Jones	20	1172	8/13	61.54%	2	8	13	66	5/10	50.00%	76/143	53.15%	12	8	7
Charlie Whitaker	20	1112	12/19	63.16%	5	2	10	36	10/40	25.00%	49/155	31.61%	23	12	20
Dan Crowley	18	1537	20/25	80.00%	5	6	14	89	1/9	11.11%	84/171	49.12%	26	18	17
Rod McDonald	18	1263	15/20	75.00%	10	70	6	48	80/103	77.67%	115/157	73.25%	2	3	8
Curtis Edwards	16	583	3/8	37.50%	4	4	2	18	8/23	34.78%	24/59	40.68%	11	1	7
Jevani Brown	14	500	10/14	71.43%	2	3	5	23	6/21	28.57%	29/69	42.03%	9	3	11
Mai Traore	12	311	2/2	100.00%	0	4	1	10	4/18	22.22%	12/36	33.33%	3	0	6
Zak Johnson	10	468	2/6	33.33%	7	17	5	26	10/24	41.67%	21/41	51.22%	1	2	2
Cedwyn Scott	10	337	1/1	100.00%	0	4	5	8	0/0	–	8/20	40.00%	8	1	0
Sam Slocombe	8	710	0/0	–	0	18	0	80	2/2	100.00%	4/4	100.00%	0	0	0
Josh Martin	8	417	3/7	42.86%	4	4	7	18	1/5	20.00%	17/37	45.95%	2	4	2
Lucas Ness	7	455	11/14	78.57%	7	41	7	16	25/34	73.53%	43/59	72.88%	0	2	4
Scott Robertson	7	319	2/12	16.67%	1	1	2	13	4/8	50.00%	24/41	58.54%	3	4	5
Robbie Cundy	7	169	1/1	100.00%	2	8	1	4	5/12	41.67%	10/20	50.00%	1	0	1
Adam Chicksen	2	132	1/3	33.33%	1	2	0	3	1/2	50.00%	4/7	57.14%	1	1	0
Madou Cisse	2	65	0/1	0.00%	0	3	1	3	0/1	0.00%	2/8	25.00%	1	1	1

Player	Apps	Min	Tackles	Tkl%	Int	Clr	Blk	Rec	Aerial	Aer%	Duel	Duel%	Disp	Past	Fls
Matthew Platt	45	4050	1.58	63.38%	0.73	6.64	0.87	4.18	6.13	68.12%	9.87	67.57%	0.11	0.18	0.93
Jacob Bedeau	44	3902	1.96	61.18%	0.69	4.11	0.65	2.86	4.64	56.72%	9.99	57.04%	0.39	0.42	0.95
Matt Palmer	43	3561	1.24	65.31%	0.53	0.73	0.43	5.56	1.44	29.82%	6.67	43.18%	0.76	0.81	0.71
George Abbott	40	3408	2.64	58.00%	1.69	1.48	1.06	5.15	1.90	40.28%	10.56	50.25%	1.00	0.95	1.16
Alex Bass	39	3430	0.00	–	0.00	0.63	0.00	10.65	0.39	100.00%	0.63	83.33%	0.00	0.05	0.03
Alassana Jatta	39	3343	0.62	52.17%	0.11	1.02	0.57	1.99	5.55	34.95%	10.85	35.73%	1.29	0.30	1.32
Nick Tsaroulla	38	2395	1.39	62.16%	0.49	1.39	0.90	3.42	1.24	45.45%	9.73	51.35%	1.77	0.23	1.01
David McGoldrick	35	2558	1.20	67.65%	0.35	1.23	1.30	3.38	4.36	43.55%	13.65	44.07%	1.79	0.56	1.44
Conor Grant	32	1915	2.26	54.17%	0.42	0.94	0.56	3.76	2.21	31.91%	11.56	42.68%	2.26	1.08	0.99
Lewis Macari	31	2417	1.08	58.62%	1.15	3.46	0.56	2.76	3.69	55.56%	6.93	56.45%	0.30	0.52	0.37
Kellan Gordon	30	1667	1.30	66.67%	0.27	1.24	0.59	3.46	0.97	55.56%	7.77	56.25%	1.03	0.27	0.81
Jack Hinchy	25	1002	3.32	64.86%	0.81	2.34	0.45	3.77	2.16	41.67%	10.33	57.39%	0.63	1.35	1.17
Sam Austin	23	1644	1.15	66.67%	0.71	1.04	0.38	3.34	1.15	52.38%	5.75	52.38%	0.55	0.49	0.55
Will Jarvis	21	822	3.18	44.83%	0.33	1.09	1.75	4.16	1.75	25.00%	14.12	48.06%	1.75	1.09	0.88
Jodi Jones	20	1172	1.00	61.54%	0.15	0.61	1.00	5.07	0.77	50.00%	10.98	53.15%	0.92	0.61	0.54
Charlie Whitaker	20	1112	1.54	63.16%	0.40	0.16	0.81	2.91	3.24	25.00%	12.54	31.61%	1.86	0.97	1.62
Dan Crowley	18	1537	1.46	80.00%	0.29	0.35	0.82	5.21	0.53	11.11%	10.01	49.12%	1.52	1.05	1.00
Rod McDonald	18	1263	1.43	75.00%	0.71	4.99	0.43	3.42	7.34	77.67%	11.19	73.25%	0.14	0.21	0.57
Curtis Edwards	16	583	1.23	37.50%	0.62	0.62	0.31	2.78	3.55	34.78%	9.11	40.68%	1.70	0.15	1.08
Jevani Brown	14	500	2.52	71.43%	0.36	0.54	0.90	4.14	3.78	28.57%	12.42	42.03%	1.62	0.54	1.98
Mai Traore	12	311	0.58	100.00%	0.00	1.16	0.29	2.89	5.21	22.22%	10.42	33.33%	0.87	0.00	1.74
Zak Johnson	10	468	1.15	33.33%	1.35	3.27	0.96	5.00	4.62	41.67%	7.88	51.22%	0.19	0.38	0.38
Cedwyn Scott	10	337	0.27	100.00%	0.00	1.07	1.34	2.14	0.00	–	5.34	40.00%	2.14	0.27	0.00
Sam Slocombe	8	710	0.00	–	0.00	2.28	0.00	10.14	0.25	100.00%	0.51	100.00%	0.00	0.00	0.00
Josh Martin	8	417	1.51	42.86%	0.86	0.86	1.51	3.88	1.08	20.00%	7.99	45.95%	0.43	0.86	0.43
Lucas Ness	7	455	2.77	78.57%	1.38	8.11	1.38	3.16	6.73	73.53%	11.67	72.88%	0.00	0.40	0.79
Scott Robertson	7	319	3.39	16.67%	0.28	0.28	0.56	3.67	2.26	50.00%	11.57	58.54%	0.85	1.13	1.41
Robbie Cundy	7	169	0.53	100.00%	1.07	4.26	0.53	2.13	6.39	41.67%	10.65	50.00%	0.53	0.00	0.53
Adam Chicksen	2	132	2.05	33.33%	0.68	1.36	0.00	2.05	1.36	50.00%	4.77	57.14%	0.68	0.68	0.00
Madou Cisse	2	65	1.38	0.00%	0.00	4.15	1.38	4.15	1.38	0.00%	11.08	25.00%	1.38	1.38	1.38

Player	Apps	Min	Tackles	Tkl%	Int	Clr	Blk	Rec	Aerial	Aer%	Duel	Duel%	Disp	Past	Fls
Matthew Platt	48	4256	47/76	61.84%	36	327	41	197	200/293	68.26%	319/474	67.30%	7	10	44
Jacob Bedeau	47	4172	55/88	62.50%	36	185	32	131	120/215	55.81%	259/467	55.46%	22	19	46
Matt Palmer	45	3741	34/52	65.38%	21	29	18	225	18/60	30.00%	120/279	43.01%	33	33	30
George Abbott	42	3588	60/103	58.25%	67	59	42	209	31/75	41.33%	211/424	49.76%	39	38	47
Alex Bass	41	3610	0/0	–	0	26	0	427	17/17	100.00%	22/26	84.62%	0	2	1
Alassana Jatta	41	3449	14/25	56.00%	5	39	21	77	77/217	35.48%	151/420	35.95%	49	11	51
Nick Tsaroulla	40	2511	25/40	62.50%	15	38	25	96	15/34	44.12%	139/267	52.06%	47	6	27
David McGoldrick	37	2737	23/34	67.65%	10	37	37	98	61/136	44.85%	181/415	43.61%	54	16	44
Conor Grant	36	2194	30/54	55.56%	10	21	14	87	16/54	29.63%	122/280	43.57%	56	24	21
Lewis Macari	35	2719	22/34	64.71%	34	109	18	81	65/112	58.04%	124/213	58.22%	8	15	13
Kellan Gordon	31	1724	16/24	66.67%	5	23	12	68	10/19	52.63%	84/152	55.26%	21	5	16
Jack Hinchy	29	1308	34/53	64.15%	13	34	7	60	16/30	53.33%	92/154	59.74%	7	22	18
Sam Austin	27	1950	14/23	60.87%	14	22	11	73	14/25	56.00%	61/121	50.41%	11	11	10
Jodi Jones	23	1416	9/15	60.00%	2	11	16	77	8/19	42.11%	91/178	51.12%	18	10	8
Will Jarvis	23	876	13/29	44.83%	3	11	17	41	4/17	23.53%	68/139	48.92%	17	10	10
Rod McDonald	22	1501	21/28	75.00%	14	81	9	66	84/107	78.50%	131/176	74.43%	2	4	9
Charlie Whitaker	21	1202	12/20	60.00%	6	3	11	39	10/42	23.81%	54/171	31.58%	25	13	23
Dan Crowley	19	1563	21/26	80.77%	5	6	14	90	1/9	11.11%	87/175	49.71%	26	18	17
Curtis Edwards	17	673	4/9	44.44%	5	6	5	20	8/23	34.78%	25/60	41.67%	11	1	7
Jevani Brown	16	676	10/17	58.82%	2	4	7	28	14/32	43.75%	42/90	46.67%	11	3	12
Mai Traore	14	382	3/3	100.00%	0	5	1	10	7/25	28.00%	16/49	32.65%	6	0	7
Sam Slocombe	12	1070	0/1	0.00%	0	20	0	117	5/6	83.33%	8/9	88.89%	0	0	0
Cedwyn Scott	12	425	1/1	100.00%	1	5	7	11	0/4	0.00%	13/32	40.62%	10	1	0
Robbie Cundy	10	436	4/4	100.00%	6	23	2	16	10/19	52.63%	20/36	55.56%	2	1	2
Zak Johnson	10	468	2/6	33.33%	7	17	5	26	10/24	41.67%	21/41	51.22%	1	2	2
Josh Martin	10	594	10/15	66.67%	4	5	9	28	1/5	20.00%	30/60	50.00%	7	7	3
Lucas Ness	9	563	13/17	76.47%	8	54	9	22	27/36	75.00%	48/67	71.64%	0	4	5
Scott Robertson	8	339	2/12	16.67%	1	1	3	13	4/9	44.44%	24/43	55.81%	3	4	6
Madou Cisse	6	283	4/9	44.44%	1	5	3	14	1/3	33.33%	18/41	43.90%	6	3	6
Adam Chicksen	4	286	2/5	40.00%	3	9	1	11	2/3	66.67%	11/15	73.33%	1	1	1
Ryley Reynolds	3	254	3/11	27.27%	2	2	1	7	1/2	50.00%	18/41	43.90%	5	6	6
Daniel Adiefeh	3	194	1/2	50.00%	3	3	1	4	0/2	0.00%	2/17	11.76%	1	4	5
Kameron Muir	3	44	1/2	50.00%	0	0	1	2	0/1	0.00%	2/8	25.00%	1	0	3
Themba Nyirenda	2	135	0/1	0.00%	3	3	0	4	2/5	40.00%	4/15	26.67%	4	1	3
James Sanderson	2	53	0/1	0.00%	0	1	0	1	0/2	0.00%	1/5	20.00%	0	0	1
Cassius Cisse	2	21	0/1	0.00%	0	0	0	1	0/1	0.00%	2/5	40.00%	0	1	1
Daniel Emmanuel	1	88	0/0	–	0	2	1	5	0/1	0.00%	1/12	8.33%	3	5	1
Charlie Gill	1	62	1/1	100.00%	0	0	0	2	0/0	–	3/6	50.00%	0	2	1
Archie Aves	1	27	0/1	0.00%	0	2	0	1	0/0	–	1/2	50.00%	0	1	0
Zac Denman	1	28	0/0	–	0	0	0	0	1/1	100.00%	2/4	50.00%	0	0	1
Junior Morias	1	20	0/0	–	0	0	0	0	1/2	50.00%	1/4	25.00%	0	1	0
Kieran Cooney	1	2	0/0	–	0	0	0	0	0/0	–	0/1	0.00%	0	0	0

Player	Apps	Min	Tackles	Tkl%	Int	Clr	Blk	Rec	Aerial	Aer%	Duel	Duel%	Disp	Past	Fls
Matthew Platt	48	4256	1.61	61.84%	0.76	6.91	0.87	4.17	6.20	68.26%	10.02	67.30%	0.15	0.21	0.93
Jacob Bedeau	47	4172	1.90	62.50%	0.78	3.99	0.69	2.83	4.64	55.81%	10.07	55.46%	0.47	0.41	0.99
Matt Palmer	45	3741	1.25	65.38%	0.51	0.70	0.43	5.41	1.44	30.00%	6.71	43.01%	0.79	0.79	0.72
George Abbott	42	3588	2.58	58.25%	1.68	1.48	1.05	5.24	1.88	41.33%	10.64	49.76%	0.98	0.95	1.18
Alex Bass	41	3610	0.00	–	0.00	0.65	0.00	10.65	0.42	100.00%	0.65	84.62%	0.00	0.05	0.02
Alassana Jatta	41	3449	0.65	56.00%	0.13	1.02	0.55	2.01	5.66	35.48%	10.96	35.95%	1.28	0.29	1.33
Nick Tsaroulla	40	2511	1.43	62.50%	0.54	1.36	0.90	3.44	1.22	44.12%	9.57	52.06%	1.68	0.22	0.97
David McGoldrick	37	2737	1.12	67.65%	0.33	1.22	1.22	3.22	4.47	44.85%	13.65	43.61%	1.78	0.53	1.45
Conor Grant	36	2194	2.22	55.56%	0.41	0.86	0.57	3.57	2.22	29.63%	11.49	43.57%	2.30	0.98	0.86
Lewis Macari	35	2719	1.13	64.71%	1.13	3.61	0.60	2.68	3.71	58.04%	7.05	58.22%	0.26	0.50	0.43
Kellan Gordon	31	1724	1.25	66.67%	0.26	1.20	0.63	3.55	0.99	52.63%	7.94	55.26%	1.10	0.26	0.84
Jack Hinchy	29	1308	3.65	64.15%	0.89	2.34	0.48	4.13	2.06	53.33%	10.60	59.74%	0.48	1.51	1.24
Sam Austin	27	1950	1.06	60.87%	0.65	1.02	0.51	3.37	1.15	56.00%	5.58	50.41%	0.51	0.51	0.46
Jodi Jones	23	1416	0.95	60.00%	0.13	0.70	1.02	4.89	1.21	42.11%	11.31	51.12%	1.14	0.64	0.51
Will Jarvis	23	876	2.98	44.83%	0.31	1.13	1.75	4.21	1.75	23.53%	14.28	48.92%	1.75	1.03	1.03
Rod McDonald	22	1501	1.68	75.00%	0.84	4.86	0.54	3.96	6.42	78.50%	10.55	74.43%	0.12	0.24	0.54
Charlie Whitaker	21	1202	1.50	60.00%	0.45	0.22	0.82	2.92	3.14	23.81%	12.80	31.58%	1.87	0.97	1.72
Dan Crowley	19	1563	1.50	80.77%	0.29	0.35	0.81	5.18	0.52	11.11%	10.08	49.71%	1.50	1.04	0.98
Curtis Edwards	17	673	1.20	44.44%	0.67	0.80	0.67	2.67	3.08	34.78%	8.02	41.67%	1.47	0.13	0.94
Jevani Brown	16	676	2.26	58.82%	0.27	0.53	0.93	3.73	4.26	43.75%	11.98	46.67%	1.46	0.40	1.60
Mai Traore	14	382	0.71	100.00%	0.00	1.18	0.24	2.36	5.89	28.00%	11.54	32.65%	1.41	0.00	1.65
Sam Slocombe	12	1070	0.08	0.00%	0.00	1.68	0.00	9.84	0.50	83.33%	0.76	88.89%	0.00	0.00	0.00
Cedwyn Scott	12	425	0.21	100.00%	0.21	1.06	1.48	2.33	0.85	0.00%	6.78	40.62%	2.12	0.21	0.00
Robbie Cundy	10	436	0.83	100.00%	1.24	4.75	0.41	3.30	3.92	52.63%	7.43	55.56%	0.41	0.21	0.41
Zak Johnson	10	468	1.15	33.33%	1.35	3.27	0.96	5.00	4.62	41.67%	7.88	51.22%	0.19	0.38	0.38
Josh Martin	10	594	2.27	66.67%	0.61	0.76	1.36	4.24	0.76	20.00%	9.09	50.00%	1.06	1.06	0.45
Lucas Ness	9	563	2.72	76.47%	1.28	8.63	1.44	3.52	5.75	75.00%	10.71	71.64%	0.00	0.64	0.80
Scott Robertson	8	339	3.19	16.67%	0.27	0.27	0.80	3.45	2.39	44.44%	11.42	55.81%	0.80	1.06	1.59
Madou Cisse	6	283	2.86	44.44%	0.32	1.59	0.95	4.45	0.95	33.33%	13.04	43.90%	1.91	0.95	1.91
Adam Chicksen	4	286	1.57	40.00%	0.94	2.83	0.31	3.46	0.94	66.67%	4.72	73.33%	0.31	0.31	0.31
Ryley Reynolds	3	254	3.90	27.27%	0.71	0.71	0.35	2.48	0.71	50.00%	14.53	43.90%	1.77	2.13	2.13
Daniel Adiefeh	3	194	0.93	50.00%	1.39	1.39	0.46	1.86	0.93	0.00%	7.89	11.76%	0.46	1.86	2.32
Kameron Muir	3	44	4.09	50.00%	0.00	0.00	2.05	4.09	2.05	0.00%	16.36	25.00%	2.05	0.00	6.14
Themba Nyirenda	2	135	0.67	0.00%	2.00	2.00	0.00	2.67	3.33	40.00%	10.00	26.67%	2.67	0.67	2.00
James Sanderson	2	53	1.70	0.00%	0.00	1.70	0.00	1.70	3.40	0.00%	8.49	20.00%	0.00	0.00	1.70
Cassius Cisse	2	21	4.29	0.00%	0.00	0.00	0.00	4.29	4.29	0.00%	21.43	40.00%	0.00	4.29	4.29
Daniel Emmanuel	1	88	0.00	–	0.00	2.05	1.02	5.11	1.02	0.00%	12.27	8.33%	3.07	5.11	1.02
Charlie Gill	1	62	1.45	100.00%	0.00	0.00	0.00	2.90	0.00	–	8.71	50.00%	0.00	2.90	1.45
Archie Aves	1	27	3.33	0.00%	0.00	6.67	0.00	3.33	0.00	–	6.67	50.00%	0.00	3.33	0.00
Zac Denman	1	28	0.00	–	0.00	0.00	0.00	0.00	3.21	100.00%	12.86	50.00%	0.00	0.00	3.21
Junior Morias	1	20	0.00	–	0.00	0.00	0.00	0.00	9.00	50.00%	18.00	25.00%	0.00	4.50	0.00
Kieran Cooney	1	2	0.00	–	0.00	0.00	0.00	0.00	0.00	–	45.00	0.00%	0.00	0.00	0.00

Add player Stat

Cumulative total across the season’s gameweeks. Add players to compare; hover a gameweek for each player’s running total and the value added that game.

Team totals Notts vs opponents (46 games)

Notts County68–49Opponents

Overview

62%Possession38%

641Total shots527

211Shots on target189

2598Final-third entries2626

1078Touches in opposition box995

111Big chances73

69Big chances missed45

20492Accurate passes10815

531Free kicks439

247Corners194

441Fouls537

80Yellow cards96

0Red cards2

Shots

16Hit woodwork10

220Shots off target196

210Blocked shots142

404Shots inside box333

237Shots outside box194

Attack

42Big chances scored28

27Through balls15

99Fouled in final third82

79Offsides70

Passes

1043Throw-ins966

4614/6264 (74%)Final third phase3222/5108 (63%)

960/2477 (39%)Long balls982/2641 (37%)

212/987 (21%)Crosses176/864 (20%)

Duels

51%Duels49%

447Dispossessed410

1555/3046 (51%)Ground duels1491/3046 (49%)

771/1521 (51%)Aerial duels750/1521 (49%)

331/701 (47%)Dribbles265/588 (45%)

Defending

61%Tackles won64%

733Total tackles817

295Interceptions433

2214Recoveries2166

1082Clearances1206

18Errors lead to a shot13

2Errors lead to a goal4

Goalkeeping

135Total saves137

78High claims44

15Punches22

343Goal kicks323

17Big saves31

0Penalty saves1

Team record by formation (46 games)

Notts County by their own formation

Formation	P	W	D	L	Win%	PPG	GF	GA	GD
3-4-2-1	21	8	7	6	38%	1.48	27	24	+3
3-4-1-2	11	5	3	3	45%	1.64	17	8	+9
3-1-4-2	3	1	0	2	33%	1.00	3	4	-1
3-5-2	2	1	0	1	50%	1.50	1	1	+0
3-4-3	2	2	0	0	100%	3.00	5	0	+5
3-2-4-1	2	0	1	1	0%	0.50	3	4	-1
4-2-3-1	2	1	0	1	50%	1.50	4	4	+0
4-1-4-1	2	1	1	0	50%	2.00	4	3	+1
3-5-1-1	1	1	0	0	100%	3.00	4	1	+3

Record vs opponent formation

Opp formation	P	W	D	L	Win%	PPG	GF	GA	GD
4-2-3-1	15	6	4	5	40%	1.47	26	18	+8
3-4-2-1	9	4	3	2	44%	1.67	11	6	+5
3-5-2	7	3	0	4	43%	1.29	8	11	-3
3-4-1-2	3	0	1	2	0%	0.33	2	5	-3
3-4-3	3	2	0	1	67%	2.00	7	4	+3
3-1-4-2	2	0	2	0	0%	1.00	4	4	+0
4-3-3	2	1	1	0	50%	2.00	2	0	+2
4-1-4-1	2	2	0	0	100%	3.00	4	1	+3
3-5-1-1	1	1	0	0	100%	3.00	3	0	+3
4-4-1-1	1	1	0	0	100%	3.00	1	0	+1
4-4-2	1	0	1	0	0%	1.00	0	0	+0

Record vs opponent back-line

Opp shape	P	W	D	L	Win%	PPG	GF	GA	GD
Back three	25	10	6	9	40%	1.44	35	30	+5
Back four	21	10	6	5	48%	1.71	33	19	+14

Single-season samples are small — the per-formation rows are indicative; the back-line grouping is the more reliable read.

Team totals Notts vs opponents (54 games)

Notts County82–62Opponents

Overview

62%Possession38%

713Total shots611

229Shots on target219

2851Final-third entries3002

1179Touches in opposition box1157

122Big chances84

77Big chances missed52

22934Accurate passes12635

603Free kicks505

268Corners236

508Fouls609

92Yellow cards109

1Red cards2

Shots

18Hit woodwork13

250Shots off target224

234Blocked shots168

444Shots inside box388

269Shots outside box223

Attack

29Through balls20

111Fouled in final third95

88Offsides82

45Big chances scored32

Passes

1183Throw-ins1067

4986/6793 (73%)Final third phase3746/5884 (64%)

1093/2800 (39%)Long balls1123/2969 (38%)

232/1063 (22%)Crosses205/989 (21%)

Duels

51%Duels49%

514Dispossessed470

1768/3507 (50%)Ground duels1739/3507 (50%)

861/1687 (51%)Aerial duels826/1687 (49%)

366/802 (46%)Dribbles315/688 (46%)

Defending

61%Tackles won63%

843Total tackles950

342Interceptions479

2485Recoveries2425

1228Clearances1314

24Errors lead to a shot15

4Errors lead to a goal4

Goalkeeping

158Total saves148

22Big saves33

83High claims45

19Punches24

388Goal kicks371

0Penalty saves1

Team record by formation (54 games)

Notts County by their own formation

Formation	P	W	D	L	Win%	PPG	GF	GA	GD
3-4-2-1	26	9	8	9	35%	1.35	34	34	+0
3-4-1-2	12	5	3	4	42%	1.50	17	9	+8
3-1-4-2	4	2	0	2	50%	1.50	5	5	+0
3-4-3	3	3	0	0	100%	3.00	10	1	+9
3-5-2	2	1	0	1	50%	1.50	1	1	+0
3-2-4-1	2	0	1	1	0%	0.50	3	4	-1
4-2-3-1	2	1	0	1	50%	1.50	4	4	+0
4-1-4-1	2	1	1	0	50%	2.00	4	3	+1
3-5-1-1	1	1	0	0	100%	3.00	4	1	+3

Record vs opponent formation

Opp formation	P	W	D	L	Win%	PPG	GF	GA	GD
4-2-3-1	18	6	5	7	33%	1.28	32	27	+5
3-4-2-1	9	4	3	2	44%	1.67	11	6	+5
3-5-2	8	3	0	5	38%	1.12	8	12	-4
3-4-3	4	3	0	1	75%	2.25	9	5	+4
3-4-1-2	3	0	1	2	0%	0.33	2	5	-3
4-3-3	3	2	1	0	67%	2.33	7	1	+6
3-1-4-2	2	0	2	0	0%	1.00	4	4	+0
4-1-4-1	2	2	0	0	100%	3.00	4	1	+3
4-4-1-1	2	2	0	0	100%	3.00	2	0	+2
4-1-3-2	1	0	0	1	0%	0.00	0	1	-1
3-5-1-1	1	1	0	0	100%	3.00	3	0	+3
4-4-2	1	0	1	0	0%	1.00	0	0	+0

Record vs opponent back-line

Opp shape	P	W	D	L	Win%	PPG	GF	GA	GD
Back four	27	12	7	8	44%	1.59	45	30	+15
Back three	27	11	6	10	41%	1.44	37	32	+5

Single-season samples are small — the per-formation rows are indicative; the back-line grouping is the more reliable read.

Team

League Two only. Standings and form are shown as of the selected gameweek (every game played up to and including that round). Form covers each team’s last six games. Momentum plots the chosen team’s rolling points-per-game over its last six games (fewer early on) against its league position after each gameweek; the shaded columns are that team’s results. Click a column to jump the gameweek. xPts re-runs the whole table on expected points — a Poisson of each game’s modelled team xG (our own xG model, scored over every shot in the division) instead of the result. Δ is actual − expected: positive means a club banked more points than its chances deserved. The “xG” column counts how many of a club’s games are modelled. Hover a row for the breakdown.

Impact results with each player on the pitch

The team’s points and expected points per game in the league games each player started (min 5 starts). Δ = PPG − xPts/game — how far Notts out- or under-performed their chances with him in the side. Click a player to break it down by the detailed position he lined up in (RCB, RCM, LAM…). Context-driven, not an individual rating.

xPts needs modelled xG (2025/26 onward) — shown as “–” for this season.

Player	Starts	PPG	xPts/g	Δ
▸ Curtis Edwards	6	2.17	–	–
AM	3	1.33	–	–
RAM	2	3.00	–	–
RWB	1	3.00	–	–
▸ Scott Robertson	5	2.00	–	–
LCM	2	2.00	–	–
RCM	1	0.00	–	–
LAM	1	3.00	–	–
CM	1	3.00	–	–
▸ Jodi Jones	13	1.92	–	–
RWB	6	1.50	–	–
LWB	3	2.00	–	–
RM	2	2.00	–	–
LAM	1	3.00	–	–
RCM	1	3.00	–	–
▸ Dan Crowley	18	1.78	–	–
AM	6	2.17	–	–
RAM	5	1.20	–	–
RCM	3	1.33	–	–
LCM	3	2.00	–	–
RM	1	3.00	–	–
▸ David McGoldrick	28	1.71	–	–
ST	9	1.89	–	–
LST	9	1.89	–	–
LAM	8	1.38	–	–
RAM	1	3.00	–	–
RST	1	0.00	–	–
▸ George Abbott	37	1.70	–	–
RCM	24	2.00	–	–
RAM	5	1.20	–	–
LCM	2	0.50	–	–
RWB	2	2.00	–	–
LDM	2	2.00	–	–
LAM	1	0.00	–	–
RDM	1	0.00	–	–
▸ Alex Bass	39	1.64	–	–
GK	39	1.64	–	–
▸ Conor Grant	23	1.61	–	–
RAM	6	1.00	–	–
LAM	6	2.17	–	–
LM	4	1.75	–	–
AM	3	2.33	–	–
LST	2	0.50	–	–
LWB	1	0.00	–	–
LW	1	3.00	–	–
▸ Jacob Bedeau	43	1.60	–	–
LCB	40	1.65	–	–
LB	2	1.50	–	–
LWB	1	0.00	–	–
▸ Matthew Platt	45	1.60	–	–
CB	41	1.59	–	–
LCB	2	1.50	–	–
RCB	2	2.00	–	–
▸ Rod McDonald	14	1.57	–	–
RCB	11	1.82	–	–
LCB	3	0.67	–	–
▸ Charlie Whitaker	13	1.54	–	–
LAM	3	0.67	–	–
RAM	3	2.00	–	–
LST	3	2.00	–	–
RW	2	3.00	–	–
RCM	1	0.00	–	–
AM	1	0.00	–	–
▸ Lewis Macari	26	1.54	–	–
RCB	21	1.52	–	–
RB	4	1.75	–	–
LCB	1	1.00	–	–
▸ Nick Tsaroulla	28	1.54	–	–
RWB	10	1.50	–	–
LWB	10	2.00	–	–
RM	4	0.25	–	–
LM	2	1.50	–	–
LCM	1	1.00	–	–
LB	1	3.00	–	–
▸ Alassana Jatta	38	1.53	–	–
ST	20	1.55	–	–
RST	14	1.71	–	–
LST	2	0.00	–	–
RAM	1	0.00	–	–
LW	1	3.00	–	–
▸ Sam Austin	18	1.50	–	–
RWB	7	2.57	–	–
LWB	4	1.25	–	–
RAM	3	0.67	–	–
LAM	3	0.67	–	–
LM	1	0.00	–	–
▸ Matt Palmer	39	1.46	–	–
LCM	24	1.58	–	–
RCM	5	1.00	–	–
RDM	3	1.33	–	–
DM	2	1.50	–	–
LAM	2	1.50	–	–
LWB	1	1.00	–	–
LDM	1	0.00	–	–
CM	1	3.00	–	–
▸ Will Jarvis	7	1.43	–	–
LWB	7	1.43	–	–
▸ Jack Hinchy	12	1.33	–	–
LCM	5	2.20	–	–
DM	3	1.33	–	–
RCM	2	0.50	–	–
CM	1	0.00	–	–
LDM	1	0.00	–	–
▸ Kellan Gordon	18	1.33	–	–
RWB	11	1.09	–	–
LWB	5	1.80	–	–
RM	2	1.50	–	–
▸ Lucas Ness	6	1.17	–	–
RCB	5	1.40	–	–
CB	1	0.00	–	–
▸ Sam Slocombe	7	1.14	–	–
GK	7	1.14	–	–
▸ Zak Johnson	5	1.00	–	–
RCB	5	1.00	–	–

A true with/without: the team’s PPG when he starts minus when he doesn’t, scaled by his starts into the points that swing is worth (Pts+) — both samples must be meaningful (≥5 on, ≥4 off). Click a player to split it by detailed position; those Pts+ rows sum to his total. Heavily context-driven — leads, game state, small samples, and mid-season signings whose “off” games include time before they arrived.

xPts needs modelled xG (2025/26 onward) — shown as “–” for this season.

Player	Starts	PPG on	PPG off	ΔPPG	Pts+	xPts+
▸ George Abbott	37	1.70	1.00	+0.7	+26.0	–
RCM	24	2.00	·	+1.0	+24.0	–
RAM	5	1.20	·	+0.2	+1.0	–
LDM	2	2.00	·	+1.0	+2.0	–
RWB	2	2.00	·	+1.0	+2.0	–
LCM	2	0.50	·	-0.5	-1.0	–
LAM	1	0.00	·	-1.0	-1.0	–
RDM	1	0.00	·	-1.0	-1.0	–
▸ Alex Bass	39	1.64	1.14	+0.5	+19.4	–
GK	39	1.64	·	+0.5	+19.4	–
▸ David McGoldrick	28	1.71	1.33	+0.38	+10.7	–
LST	9	1.89	·	+0.56	+5.0	–
ST	9	1.89	·	+0.56	+5.0	–
LAM	8	1.38	·	+0.04	+0.3	–
RAM	1	3.00	·	+1.67	+1.7	–
RST	1	0.00	·	-1.33	-1.3	–
▸ Jodi Jones	13	1.92	1.42	+0.5	+6.5	–
RWB	6	1.50	·	+0.08	+0.5	–
LWB	3	2.00	·	+0.58	+1.7	–
RM	2	2.00	·	+0.58	+1.2	–
RCM	1	3.00	·	+1.58	+1.6	–
LAM	1	3.00	·	+1.58	+1.6	–
▸ Dan Crowley	18	1.78	1.43	+0.35	+6.3	–
AM	6	2.17	·	+0.74	+4.4	–
RAM	5	1.20	·	-0.23	-1.1	–
LCM	3	2.00	·	+0.57	+1.7	–
RCM	3	1.33	·	-0.1	-0.3	–
RM	1	3.00	·	+1.57	+1.6	–
▸ Curtis Edwards	6	2.17	1.48	+0.69	+4.1	–
AM	3	1.33	·	-0.14	-0.4	–
RAM	2	3.00	·	+1.52	+3.0	–
RWB	1	3.00	·	+1.52	+1.5	–
▸ Scott Robertson	5	2.00	1.51	+0.49	+2.4	–
LCM	2	2.00	·	+0.49	+1.0	–
LAM	1	3.00	·	+1.49	+1.5	–
CM	1	3.00	·	+1.49	+1.5	–
RCM	1	0.00	·	-1.51	-1.5	–
▸ Conor Grant	23	1.61	1.52	+0.09	+2.0	–
LAM	6	2.17	·	+0.64	+3.9	–
RAM	6	1.00	·	-0.52	-3.1	–
LM	4	1.75	·	+0.23	+0.9	–
AM	3	2.33	·	+0.81	+2.4	–
LST	2	0.50	·	-1.02	-2.0	–
LW	1	3.00	·	+1.48	+1.5	–
LWB	1	0.00	·	-1.52	-1.5	–
▸ Rod McDonald	14	1.57	1.56	+0.01	+0.1	–
RCB	11	1.82	·	+0.26	+2.8	–
LCB	3	0.67	·	-0.9	-2.7	–
▸ Charlie Whitaker	13	1.54	1.58	-0.04	-0.5	–
LST	3	2.00	·	+0.42	+1.3	–
RAM	3	2.00	·	+0.42	+1.3	–
LAM	3	0.67	·	-0.91	-2.7	–
RW	2	3.00	·	+1.42	+2.8	–
AM	1	0.00	·	-1.58	-1.6	–
RCM	1	0.00	·	-1.58	-1.6	–
▸ Will Jarvis	7	1.43	1.59	-0.16	-1.1	–
LWB	7	1.43	·	-0.16	-1.1	–
▸ Lewis Macari	26	1.54	1.60	-0.06	-1.6	–
RCB	21	1.52	·	-0.08	-1.6	–
RB	4	1.75	·	+0.15	+0.6	–
LCB	1	1.00	·	-0.6	-0.6	–
▸ Sam Austin	18	1.50	1.61	-0.11	-1.9	–
RWB	7	2.57	·	+0.96	+6.8	–
LWB	4	1.25	·	-0.36	-1.4	–
LAM	3	0.67	·	-0.94	-2.8	–
RAM	3	0.67	·	-0.94	-2.8	–
LM	1	0.00	·	-1.61	-1.6	–
▸ Nick Tsaroulla	28	1.54	1.61	-0.08	-2.1	–
LWB	10	2.00	·	+0.39	+3.9	–
RWB	10	1.50	·	-0.11	-1.1	–
RM	4	0.25	·	-1.36	-5.4	–
LM	2	1.50	·	-0.11	-0.2	–
LB	1	3.00	·	+1.39	+1.4	–
LCM	1	1.00	·	-0.61	-0.6	–
▸ Lucas Ness	6	1.17	1.62	-0.46	-2.7	–
RCB	5	1.40	·	-0.23	-1.1	–
CB	1	0.00	·	-1.62	-1.6	–
▸ Zak Johnson	5	1.00	1.63	-0.63	-3.2	–
RCB	5	1.00	·	-0.63	-3.2	–
▸ Sam Slocombe	7	1.14	1.64	-0.5	-3.5	–
GK	7	1.14	·	-0.5	-3.5	–
▸ Jack Hinchy	12	1.33	1.65	-0.31	-3.8	–
LCM	5	2.20	·	+0.55	+2.8	–
DM	3	1.33	·	-0.31	-0.9	–
RCM	2	0.50	·	-1.15	-2.3	–
LDM	1	0.00	·	-1.65	-1.6	–
CM	1	0.00	·	-1.65	-1.6	–
▸ Kellan Gordon	18	1.33	1.71	-0.38	-6.9	–
RWB	11	1.09	·	-0.62	-6.9	–
LWB	5	1.80	·	+0.09	+0.4	–
RM	2	1.50	·	-0.21	-0.4	–
▸ Alassana Jatta	38	1.53	1.75	-0.22	-8.5	–
ST	20	1.55	·	-0.2	-4.0	–
RST	14	1.71	·	-0.04	-0.5	–
LST	2	0.00	·	-1.75	-3.5	–
LW	1	3.00	·	+1.25	+1.2	–
RAM	1	0.00	·	-1.75	-1.8	–
▸ Matt Palmer	39	1.46	2.14	-0.68	-26.6	–
LCM	24	1.58	·	-0.56	-13.4	–
RCM	5	1.00	·	-1.14	-5.7	–
RDM	3	1.33	·	-0.81	-2.4	–
LAM	2	1.50	·	-0.64	-1.3	–
DM	2	1.50	·	-0.64	-1.3	–
CM	1	3.00	·	+0.86	+0.9	–
LWB	1	1.00	·	-1.14	-1.1	–
LDM	1	0.00	·	-2.14	-2.1	–

Goals scored vs conceded while he was on the pitch — subs handled by goal & substitution timings — as raw totals and a per-90 +/- (min 450 minutes on the pitch). Unlike the other views this counts only his actual minutes, subs included.

Player	Min	GF	GA	+/-	+/- /90	GF/90	GA/90
Curtis Edwards	583	10	5	+5	+0.77	1.54	0.77
Dan Crowley	1537	32	20	+12	+0.7	1.87	1.17
David McGoldrick	2558	45	26	+19	+0.67	1.58	0.91
Sam Austin	1644	28	17	+11	+0.6	1.53	0.93
Conor Grant	1915	33	22	+11	+0.52	1.55	1.03
Lewis Macari	2417	38	25	+13	+0.48	1.41	0.93
George Abbott	3408	55	37	+18	+0.48	1.45	0.98
Jacob Bedeau	3902	67	47	+20	+0.46	1.55	1.08
Jodi Jones	1172	22	16	+6	+0.46	1.69	1.23
Alassana Jatta	3343	59	42	+17	+0.46	1.59	1.13
Nick Tsaroulla	2395	40	28	+12	+0.45	1.50	1.05
Matthew Platt	4050	66	46	+20	+0.44	1.47	1.02
Will Jarvis	822	14	10	+4	+0.44	1.53	1.09
Alex Bass	3430	58	42	+16	+0.42	1.52	1.1
Sam Slocombe	710	10	7	+3	+0.38	1.27	0.89
Jevani Brown	500	5	3	+2	+0.36	0.90	0.54
Rod McDonald	1263	20	15	+5	+0.36	1.43	1.07
Charlie Whitaker	1112	17	13	+4	+0.32	1.38	1.05
Matt Palmer	3561	56	44	+12	+0.3	1.42	1.11
Kellan Gordon	1667	19	20	-1	-0.05	1.03	1.08
Jack Hinchy	1002	16	18	-2	-0.18	1.44	1.62
Zak Johnson	468	5	7	-2	-0.38	0.96	1.35
Lucas Ness	455	6	8	-2	-0.4	1.19	1.58

How Notts fared in each starting formation (league games only, min 3 games in the shape). PPG = league points won per game set up that way; xPts/g = the points an average side would expect from those games given the chances created and conceded (from our modelled xG); Δ = PPG − xPts/game, i.e. how much Notts over- or under-performed their chances in that shape. A shape can flatter a run of easy or hard fixtures, so read it as context, not proof one formation is better.

xPts needs modelled xG (2025/26 onward) — shown as “–” for this season.

Formation	Games	PPG	xPts/g	Δ
3-4-1-2	11	1.64	–	–
3-4-2-1	21	1.48	–	–
3-1-4-2	3	1.00	–	–

The XI that most improves Notts: for every slot in the team’s most-used shape (3-4-2-1), the player with the most points added when he lined up in that exact position (RCB, LCM, LAM…) — the number on each shirt is that per-slot Pts+ (with/without ΔPPG × starts there), so a big swing over many games beats a small-sample cameo. Each player is used once; a dashed slot means no one started there. Every caveat of the with/without signal applies — a talking point, not a teamsheet.

First out: Jodi Jones (13 starts, +6.5 Pts+) — his best slot went to someone who added more.

strong ++neutral−strong −

A football take on basketball’s Win Shares: credit for the team’s results, shared out among the players who earned them. Each league game’s points (3 for a win, 1 a draw) are split into an attacking pool and a defending pool — sized by how many goals Notts scored versus how far they held the opponent below the league’s average goals — then handed to the players who featured in proportion to their contribution that game. Attacking value comes from goals, assists, chances created and shot quality (xG/xA); defensive value from ball-winning for outfielders (tackles, interceptions, blocks, clearances, recoveries, weighted by where a player actually plays) and shot-stopping for keepers (goals prevented, net of costly errors). The Pts column adds up to Notts’s 72 league points — a player’s share is capped by the points the team actually won. % is share of team points, /90 normalises for minutes, xPts is the expected-points version (pools and attacker split from modelled xG), and Δ is actual minus expected. League games only; a season metric (too noisy game-by-game).

Expected-points (xPts, Δ) need xG, which Sofascore only provides from 2025/26 — shown as “–” here.

Player	Pos	Apps	Min	Off	Def	Pts	%	/90	xPts	x/90	Δ	Rating
David McGoldrick	FWD	35	2558	7.73	0.73	8.47	11.8%	0.298	–	–	–	7.2
Alassana Jatta	FWD	39	3343	6.28	0.6	6.88	9.6%	0.185	–	–	–	6.4
George Abbott	MID	40	3408	4.3	2.13	6.43	8.9%	0.17	–	–	–	7.0
Matthew Platt	DEF	45	4050	0.93	4.9	5.83	8.1%	0.13	–	–	–	7.0
Dan Crowley	MID	18	1537	4.45	0.36	4.81	6.7%	0.282	–	–	–	6.8
Matt Palmer	MID	43	3561	3.61	0.88	4.49	6.2%	0.114	–	–	–	6.0
Alex Bass	GK	39	3430	2.65	1.31	3.96	5.5%	0.104	–	–	–	6.2
Nick Tsaroulla	MID	38	2395	2.95	0.81	3.76	5.2%	0.141	–	–	–	6.4
Jacob Bedeau	DEF	44	3902	1.22	2.47	3.69	5.1%	0.085	–	–	–	6.5
Jodi Jones	MID	20	1172	3.2	0.2	3.4	4.7%	0.261	–	–	–	6.7
Conor Grant	FWD	32	1915	2.97	0.39	3.36	4.7%	0.158	–	–	–	6.3
Lewis Macari	DEF	31	2417	0.44	1.89	2.33	3.2%	0.087	–	–	–	6.1
Charlie Whitaker	FWD	20	1112	2.06	0.2	2.27	3.1%	0.183	–	–	–	6.3
Kellan Gordon	MID	30	1667	1.72	0.41	2.13	3.0%	0.115	–	–	–	6.3
Sam Austin	MID	23	1644	1.08	0.41	1.49	2.1%	0.082	–	–	–	5.9
Rod McDonald	DEF	18	1263	0.07	1.08	1.16	1.6%	0.083	–	–	–	6.7
Will Jarvis	MID	21	822	0.68	0.46	1.14	1.6%	0.125	–	–	–	6.4
Jack Hinchy	MID	25	1002	0.46	0.57	1.04	1.4%	0.093	–	–	–	6.5
Josh Martin	MID	8	417	0.76	0.11	0.87	1.2%	0.188	–	–	–	6.6
Curtis Edwards	FWD	16	583	0.61	0.23	0.84	1.2%	0.13	–	–	–	6.0
Mai Traore	FWD	12	311	0.76	0.03	0.78	1.1%	0.227	–	–	–	6.2
Jevani Brown	FWD	14	500	0.37	0.28	0.65	0.9%	0.117	–	–	–	6.4
Lucas Ness	DEF	7	455	0.01	0.59	0.6	0.8%	0.12	–	–	–	7.1
Scott Robertson	MID	7	319	0.48	0.07	0.55	0.8%	0.154	–	–	–	6.2
Sam Slocombe	GK	8	710	0.38	0.09	0.48	0.7%	0.06	–	–	–	6.1
Zak Johnson	DEF	10	468	0.01	0.4	0.4	0.6%	0.078	–	–	–	6.1
Cedwyn Scott	FWD	10	337	0.0	0.07	0.07	0.1%	0.018	–	–	–	6.1
Robbie Cundy	DEF	7	169	0.0	0.06	0.06	0.1%	0.032	–	–	–	6.3
Adam Chicksen	MID	2	132	0.0	0.04	0.04	0.0%	0.024	–	–	–	6.2
Madou Cisse	FWD	2	65	0.0	0.02	0.02	0.0%	0.022	–	–	–	6.3

Caveats: a team signal shared out by contribution, not an individual rating; outfield defensive credit leans on action volume, weighted by where a player actually averages his position (a deep centre-back counts more than a high wing-back — read from the pitch, not the position tag), while goalkeepers earn defensive credit from shot-stopping (post-shot save value) net of mistakes that cost a goal, and build-up credit from distribution (net possession retained), so a shot-stopper who gives the ball away or errs isn’t over-rewarded — now graded on goals prevented (xGOT faced − conceded) — though command of the box (positioning, dealing with crosses) leaves little trace in the data. xPts now uses our modelled xG (both the pool and the attacker split, weighted by per-player xG & xA), so it rewards genuine chance quality — and it’s available for every game, not just the ones Sofascore scored. Rating scores each game’s production against the typical game for that position across all seasons (median-anchored, robust, minutes-shrunk) — an impact measure, not a technical score.