Notts County · 2023/24

League Two: 18W 7D 21L · also in 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
Dan Crowley	46	3807	3263	2286/2544	89.86%	3.97%	–	–	–	91	–	37/178	20.79%	65/101	64.36%	–	–	62/90	68.89%	18	50	50.00%	15	10
Macaulay Langstaff	46	4030	1150	557/669	83.26%	5.23%	–	–	–	23	–	5/21	23.81%	18/35	51.43%	–	–	9/34	26.47%	3	172	40.12%	28	6
Aaron Nemane	44	3492	2439	1213/1421	85.36%	3.87%	–	–	–	56	–	30/117	25.64%	11/55	20.00%	–	–	84/159	52.83%	13	32	34.38%	8	3
Sam Austin	44	2390	1343	789/932	84.66%	4.29%	–	–	–	24	–	10/76	13.16%	16/40	40.00%	–	–	21/41	51.22%	2	22	54.55%	4	3
Kyle Cameron	43	3762	3647	2711/3001	90.34%	6.23%	–	–	–	23	–	12/53	22.64%	79/187	42.25%	–	–	28/46	60.87%	4	19	31.58%	1	3
Jodi Jones	43	3488	2453	1087/1277	85.12%	5.95%	–	–	–	76	–	63/312	20.19%	32/76	42.11%	–	–	76/158	48.10%	33	79	39.24%	6	24
Aden Baldwin	41	3345	4180	3408/3709	91.88%	8.82%	–	–	–	14	–	0/6	0.00%	180/327	55.05%	–	–	8/12	66.67%	1	10	30.00%	1	0
Jim O'Brien	38	1619	1206	843/960	87.81%	3.65%	–	–	–	19	–	2/14	14.29%	16/35	45.71%	–	–	9/15	60.00%	1	19	42.11%	4	0
John Bostock	37	2563	2414	1959/2117	92.54%	5.10%	–	–	–	15	–	6/21	28.57%	78/108	72.22%	–	–	9/16	56.25%	2	16	18.75%	2	1
David McGoldrick	37	2700	1637	862/1073	80.34%	5.87%	–	–	–	24	–	6/32	18.75%	36/63	57.14%	–	–	65/100	65.00%	7	98	41.84%	12	4
Richard Brindley	27	1956	2020	1732/1828	94.75%	2.46%	–	–	–	3	–	1/4	25.00%	23/45	51.11%	–	–	10/15	66.67%	0	4	0.00%	0	1
Aidan Stone	23	1950	1455	776/1243	62.43%	49.96%	–	–	–	1	–	0/0	–	168/621	27.05%	–	–	0/1	0.00%	0	0	–	0	0
Lewis Macari	22	1614	1532	1137/1254	90.67%	3.91%	–	–	–	5	–	3/16	18.75%	26/49	53.06%	–	–	13/23	56.52%	0	5	60.00%	1	0
Adam Chicksen	19	768	535	332/373	89.01%	4.56%	–	–	–	8	–	10/29	34.48%	10/17	58.82%	–	–	4/7	57.14%	2	0	–	0	1
Tobi Adebayo-Rowling	19	521	421	219/262	83.59%	4.58%	–	–	–	8	–	10/51	19.61%	8/12	66.67%	–	–	6/14	42.86%	2	0	–	0	1
Connell Rawlinson	18	845	768	625/695	89.93%	7.91%	–	–	–	3	–	0/2	0.00%	34/55	61.82%	–	–	3/4	75.00%	0	2	50.00%	1	0
Scott Robertson	17	1358	1046	768/856	89.72%	1.99%	–	–	–	12	–	0/2	0.00%	7/17	41.18%	–	–	8/17	47.06%	2	11	27.27%	0	2
Matt Palmer	16	1344	1529	1247/1354	92.10%	5.24%	–	–	–	18	–	5/18	27.78%	43/71	60.56%	–	–	5/8	62.50%	4	7	14.29%	0	2
Sam Slocombe	14	1197	968	512/789	64.89%	45.88%	–	–	–	0	–	0/0	–	91/362	25.14%	–	–	0/0	–	0	0	–	0	0
Luca Ashby-Hammond	11	990	670	357/538	66.36%	47.03%	–	–	–	2	–	0/0	–	76/253	30.04%	–	–	1/2	50.00%	1	0	–	0	1
Jaden Warner	10	634	566	443/490	90.41%	7.55%	–	–	–	2	–	1/4	25.00%	20/37	54.05%	–	–	4/5	80.00%	0	1	0.00%	0	0
Alassana Jatta	10	522	155	60/78	76.92%	3.85%	–	–	–	3	–	0/1	0.00%	1/3	33.33%	–	–	1/9	11.11%	1	15	53.33%	5	2
Will Randall	10	181	100	55/59	93.22%	1.69%	–	–	–	3	–	1/5	20.00%	1/1	100.00%	–	–	1/5	20.00%	1	0	–	0	1
Junior Morias	9	172	64	36/42	85.71%	0.00%	–	–	–	0	–	0/0	–	0/0	–	–	–	1/2	50.00%	0	7	14.29%	1	0
Cedwyn Scott	9	126	52	28/35	80.00%	0.00%	–	–	–	2	–	0/0	–	0/0	–	–	–	3/5	60.00%	0	1	100.00%	0	0
Dan Gosling	6	94	109	92/100	92.00%	6.00%	–	–	–	0	–	0/1	0.00%	6/6	100.00%	–	–	0/1	0.00%	0	0	–	0	0
Charlie Colkett	3	30	33	25/26	96.15%	11.54%	–	–	–	2	–	0/1	0.00%	3/3	100.00%	–	–	0/1	0.00%	0	2	50.00%	0	0
Oliver Tipton	2	46	36	29/31	93.55%	0.00%	–	–	–	0	–	0/1	0.00%	0/0	–	–	–	0/0	–	0	0	–	0	0
James Sanderson	2	31	31	15/19	78.95%	10.53%	–	–	–	2	–	1/2	50.00%	2/2	100.00%	–	–	2/2	100.00%	0	1	0.00%	0	0
Lucien Mahovo	1	1	11	8/9	88.89%	0.00%	–	–	–	0	–	0/0	–	0/0	–	–	–	1/1	100.00%	0	0	–	0	0
Madou Cisse	1	15	10	5/7	71.43%	0.00%	–	–	–	1	–	1/1	100.00%	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
Dan Crowley	46	3807	77.14	60.14	89.86%	3.97%	–	–	–	2.15	–	4.21	20.79%	2.39	64.36%	–	–	2.13	68.89%	0.43	1.18	50.00%	0.35	0.24
Macaulay Langstaff	46	4030	25.68	14.94	83.26%	5.23%	–	–	–	0.51	–	0.47	23.81%	0.78	51.43%	–	–	0.76	26.47%	0.07	3.84	40.12%	0.63	0.13
Aaron Nemane	44	3492	62.86	36.62	85.36%	3.87%	–	–	–	1.44	–	3.02	25.64%	1.42	20.00%	–	–	4.10	52.83%	0.34	0.82	34.38%	0.21	0.08
Sam Austin	44	2390	50.57	35.10	84.66%	4.29%	–	–	–	0.90	–	2.86	13.16%	1.51	40.00%	–	–	1.54	51.22%	0.08	0.83	54.55%	0.15	0.11
Kyle Cameron	43	3762	87.25	71.79	90.34%	6.23%	–	–	–	0.55	–	1.27	22.64%	4.47	42.25%	–	–	1.10	60.87%	0.10	0.45	31.58%	0.02	0.07
Jodi Jones	43	3488	63.29	32.95	85.12%	5.95%	–	–	–	1.96	–	8.05	20.19%	1.96	42.11%	–	–	4.08	48.10%	0.85	2.04	39.24%	0.15	0.62
Aden Baldwin	41	3345	112.47	99.79	91.88%	8.82%	–	–	–	0.38	–	0.16	0.00%	8.80	55.05%	–	–	0.32	66.67%	0.03	0.27	30.00%	0.03	0.00
Jim O'Brien	38	1619	67.04	53.37	87.81%	3.65%	–	–	–	1.06	–	0.78	14.29%	1.95	45.71%	–	–	0.83	60.00%	0.06	1.06	42.11%	0.22	0.00
John Bostock	37	2563	84.77	74.34	92.54%	5.10%	–	–	–	0.53	–	0.74	28.57%	3.79	72.22%	–	–	0.56	56.25%	0.07	0.56	18.75%	0.07	0.04
David McGoldrick	37	2700	54.57	35.77	80.34%	5.87%	–	–	–	0.80	–	1.07	18.75%	2.10	57.14%	–	–	3.33	65.00%	0.23	3.27	41.84%	0.40	0.13
Richard Brindley	27	1956	92.94	84.11	94.75%	2.46%	–	–	–	0.14	–	0.18	25.00%	2.07	51.11%	–	–	0.69	66.67%	0.00	0.18	0.00%	0.00	0.05
Aidan Stone	23	1950	67.15	57.37	62.43%	49.96%	–	–	–	0.05	–	0.00	–	28.66	27.05%	–	–	0.05	0.00%	0.00	0.00	–	0.00	0.00
Lewis Macari	22	1614	85.43	69.93	90.67%	3.91%	–	–	–	0.28	–	0.89	18.75%	2.73	53.06%	–	–	1.28	56.52%	0.00	0.28	60.00%	0.06	0.00
Adam Chicksen	19	768	62.70	43.71	89.01%	4.56%	–	–	–	0.94	–	3.40	34.48%	1.99	58.82%	–	–	0.82	57.14%	0.23	0.00	–	0.00	0.12
Tobi Adebayo-Rowling	19	521	72.73	45.26	83.59%	4.58%	–	–	–	1.38	–	8.81	19.61%	2.07	66.67%	–	–	2.42	42.86%	0.35	0.00	–	0.00	0.17
Connell Rawlinson	18	845	81.80	74.02	89.93%	7.91%	–	–	–	0.32	–	0.21	0.00%	5.86	61.82%	–	–	0.43	75.00%	0.00	0.21	50.00%	0.11	0.00
Scott Robertson	17	1358	69.32	56.73	89.72%	1.99%	–	–	–	0.80	–	0.13	0.00%	1.13	41.18%	–	–	1.13	47.06%	0.13	0.73	27.27%	0.00	0.13
Matt Palmer	16	1344	102.39	90.67	92.10%	5.24%	–	–	–	1.21	–	1.21	27.78%	4.75	60.56%	–	–	0.54	62.50%	0.27	0.47	14.29%	0.00	0.13
Sam Slocombe	14	1197	72.78	59.32	64.89%	45.88%	–	–	–	0.00	–	0.00	–	27.22	25.14%	–	–	0.00	–	0.00	0.00	–	0.00	0.00
Luca Ashby-Hammond	11	990	60.91	48.91	66.36%	47.03%	–	–	–	0.18	–	0.00	–	23.00	30.04%	–	–	0.18	50.00%	0.09	0.00	–	0.00	0.09
Jaden Warner	10	634	80.35	69.56	90.41%	7.55%	–	–	–	0.28	–	0.57	25.00%	5.25	54.05%	–	–	0.71	80.00%	0.00	0.14	0.00%	0.00	0.00
Alassana Jatta	10	522	26.72	13.45	76.92%	3.85%	–	–	–	0.52	–	0.17	0.00%	0.52	33.33%	–	–	1.55	11.11%	0.17	2.59	53.33%	0.86	0.34
Will Randall	10	181	49.72	29.34	93.22%	1.69%	–	–	–	1.49	–	2.49	20.00%	0.50	100.00%	–	–	2.49	20.00%	0.50	0.00	–	0.00	0.50
Junior Morias	9	172	33.49	21.98	85.71%	0.00%	–	–	–	0.00	–	0.00	–	0.00	–	–	–	1.05	50.00%	0.00	3.66	14.29%	0.52	0.00
Cedwyn Scott	9	126	37.14	25.00	80.00%	0.00%	–	–	–	1.43	–	0.00	–	0.00	–	–	–	3.57	60.00%	0.00	0.71	100.00%	0.00	0.00
Dan Gosling	6	94	104.36	95.74	92.00%	6.00%	–	–	–	0.00	–	0.96	0.00%	5.74	100.00%	–	–	0.96	0.00%	0.00	0.00	–	0.00	0.00
Charlie Colkett	3	30	99.00	78.00	96.15%	11.54%	–	–	–	6.00	–	3.00	0.00%	9.00	100.00%	–	–	3.00	0.00%	0.00	6.00	50.00%	0.00	0.00
Oliver Tipton	2	46	70.43	60.65	93.55%	0.00%	–	–	–	0.00	–	1.96	0.00%	0.00	–	–	–	0.00	–	0.00	0.00	–	0.00	0.00
James Sanderson	2	31	90.00	55.16	78.95%	10.53%	–	–	–	5.81	–	5.81	50.00%	5.81	100.00%	–	–	5.81	100.00%	0.00	2.90	0.00%	0.00	0.00
Lucien Mahovo	1	1	990.00	810.00	88.89%	0.00%	–	–	–	0.00	–	0.00	–	0.00	–	–	–	90.00	100.00%	0.00	0.00	–	0.00	0.00
Madou Cisse	1	15	60.00	42.00	71.43%	0.00%	–	–	–	6.00	–	6.00	100.00%	0.00	–	–	–	6.00	0.00%	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
Dan Crowley	49	3965	3385	2374/2645	89.75%	3.97%	–	–	–	92	–	37/185	20.00%	68/105	64.76%	–	–	63/91	69.23%	19	56	46.43%	15	10
Sam Austin	48	2692	1529	909/1069	85.03%	4.12%	–	–	–	31	–	12/94	12.77%	19/44	43.18%	–	–	23/44	52.27%	4	26	53.85%	4	3
Kyle Cameron	47	3981	3995	3002/3320	90.42%	6.63%	–	–	–	24	–	12/56	21.43%	98/220	44.55%	–	–	29/47	61.70%	4	19	31.58%	1	3
Macaulay Langstaff	47	4107	1161	562/675	83.26%	5.19%	–	–	–	23	–	5/21	23.81%	18/35	51.43%	–	–	9/35	25.71%	3	173	39.88%	28	6
Aaron Nemane	46	3650	2532	1269/1480	85.74%	3.85%	–	–	–	57	–	30/118	25.42%	12/57	21.05%	–	–	89/167	53.29%	13	35	34.29%	8	3
Aden Baldwin	44	3463	4361	3565/3874	92.02%	9.03%	–	–	–	14	–	0/6	0.00%	199/350	56.86%	–	–	9/14	64.29%	1	10	30.00%	1	0
Jodi Jones	44	3510	2469	1095/1286	85.15%	5.91%	–	–	–	77	–	65/316	20.57%	32/76	42.11%	–	–	76/158	48.10%	33	80	38.75%	6	24
Jim O'Brien	42	1951	1533	1099/1246	88.20%	3.93%	–	–	–	21	–	4/21	19.05%	27/49	55.10%	–	–	10/18	55.56%	1	21	42.86%	4	0
John Bostock	40	2755	2623	2139/2306	92.76%	4.86%	–	–	–	16	–	6/23	26.09%	80/112	71.43%	–	–	9/16	56.25%	2	17	17.65%	2	1
David McGoldrick	38	2745	1670	883/1098	80.42%	5.92%	–	–	–	24	–	6/32	18.75%	37/65	56.92%	–	–	67/103	65.05%	7	99	41.41%	12	4
Richard Brindley	30	2105	2254	1937/2040	94.95%	2.70%	–	–	–	3	–	1/8	12.50%	33/55	60.00%	–	–	10/15	66.67%	0	4	0.00%	0	1
Lewis Macari	24	1794	1736	1287/1420	90.63%	3.94%	–	–	–	7	–	6/27	22.22%	29/56	51.79%	–	–	15/25	60.00%	0	7	42.86%	1	0
Aidan Stone	24	2040	1523	820/1302	62.98%	48.85%	–	–	–	1	–	0/0	–	170/636	26.73%	–	–	0/1	0.00%	0	0	–	0	0
Tobi Adebayo-Rowling	23	856	656	342/407	84.03%	3.44%	–	–	–	10	–	15/86	17.44%	9/14	64.29%	–	–	9/21	42.86%	2	3	33.33%	0	1
Connell Rawlinson	21	1053	1065	897/976	91.91%	7.17%	–	–	–	3	–	0/2	0.00%	47/70	67.14%	–	–	4/5	80.00%	0	2	50.00%	1	0
Adam Chicksen	21	948	746	485/538	90.15%	4.28%	–	–	–	9	–	11/34	32.35%	16/23	69.57%	–	–	5/9	55.56%	2	0	–	0	1
Matt Palmer	17	1389	1552	1267/1376	92.08%	5.23%	–	–	–	18	–	5/18	27.78%	44/72	61.11%	–	–	6/9	66.67%	4	7	14.29%	0	2
Sam Slocombe	17	1467	1208	669/991	67.51%	43.09%	–	–	–	0	–	0/0	–	113/427	26.46%	–	–	0/0	–	0	0	–	0	0
Scott Robertson	17	1358	1046	768/856	89.72%	1.99%	–	–	–	12	–	0/2	0.00%	7/17	41.18%	–	–	8/17	47.06%	2	11	27.27%	0	2
Junior Morias	13	379	94	51/57	89.47%	0.00%	–	–	–	0	–	0/0	–	0/0	–	–	–	2/4	50.00%	0	12	25.00%	2	0
Will Randall	12	283	182	112/120	93.33%	1.67%	–	–	–	4	–	2/9	22.22%	2/2	100.00%	–	–	4/10	40.00%	1	0	–	0	1
Luca Ashby-Hammond	11	990	670	357/538	66.36%	47.03%	–	–	–	2	–	0/0	–	76/253	30.04%	–	–	1/2	50.00%	1	0	–	0	1
Jaden Warner	10	634	566	443/490	90.41%	7.55%	–	–	–	2	–	1/4	25.00%	20/37	54.05%	–	–	4/5	80.00%	0	1	0.00%	0	0
Alassana Jatta	10	522	155	60/78	76.92%	3.85%	–	–	–	3	–	0/1	0.00%	1/3	33.33%	–	–	1/9	11.11%	1	15	53.33%	5	2
Cedwyn Scott	10	202	59	34/41	82.93%	0.00%	–	–	–	2	–	0/0	–	0/0	–	–	–	3/5	60.00%	0	1	100.00%	0	0
Dan Gosling	7	122	142	124/133	93.23%	4.51%	–	–	–	0	–	0/1	0.00%	6/6	100.00%	–	–	0/1	0.00%	0	0	–	0	0
Oliver Tipton	5	222	257	196/221	88.69%	8.14%	–	–	–	1	–	1/7	14.29%	9/18	50.00%	–	–	1/2	50.00%	0	0	–	0	0
Charlie Colkett	3	30	33	25/26	96.15%	11.54%	–	–	–	2	–	0/1	0.00%	3/3	100.00%	–	–	0/1	0.00%	0	2	50.00%	0	0
Lucien Mahovo	2	91	124	84/98	85.71%	7.14%	–	–	–	0	–	0/1	0.00%	5/7	71.43%	–	–	2/2	100.00%	0	0	–	0	0
Luther Munakandafa	2	108	95	57/61	93.44%	0.00%	–	–	–	1	–	1/9	11.11%	0/0	–	–	–	2/4	50.00%	0	1	0.00%	0	0
James Sanderson	2	31	31	15/19	78.95%	10.53%	–	–	–	2	–	1/2	50.00%	2/2	100.00%	–	–	2/2	100.00%	0	1	0.00%	0	0
Madou Cisse	2	28	21	9/15	60.00%	6.67%	–	–	–	1	–	1/1	100.00%	0/1	0.00%	–	–	0/1	0.00%	0	0	–	0	0
Charlie Gill	2	35	20	10/10	100.00%	0.00%	–	–	–	0	–	0/1	0.00%	0/0	–	–	–	2/3	66.67%	0	1	0.00%	0	0
Geraldo Bajrami	1	11	10	7/9	77.78%	11.11%	–	–	–	0	–	0/0	–	0/1	0.00%	–	–	1/1	100.00%	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
Dan Crowley	49	3965	76.83	60.04	89.75%	3.97%	–	–	–	2.09	–	4.20	20.00%	2.38	64.76%	–	–	2.07	69.23%	0.43	1.27	46.43%	0.34	0.23
Sam Austin	48	2692	51.12	35.74	85.03%	4.12%	–	–	–	1.04	–	3.14	12.77%	1.47	43.18%	–	–	1.47	52.27%	0.13	0.87	53.85%	0.13	0.10
Kyle Cameron	47	3981	90.32	75.06	90.42%	6.63%	–	–	–	0.54	–	1.27	21.43%	4.97	44.55%	–	–	1.06	61.70%	0.09	0.43	31.58%	0.02	0.07
Macaulay Langstaff	47	4107	25.44	14.79	83.26%	5.19%	–	–	–	0.50	–	0.46	23.81%	0.77	51.43%	–	–	0.77	25.71%	0.07	3.79	39.88%	0.61	0.13
Aaron Nemane	46	3650	62.43	36.49	85.74%	3.85%	–	–	–	1.41	–	2.91	25.42%	1.41	21.05%	–	–	4.12	53.29%	0.32	0.86	34.29%	0.20	0.07
Aden Baldwin	44	3463	113.34	100.68	92.02%	9.03%	–	–	–	0.36	–	0.16	0.00%	9.10	56.86%	–	–	0.36	64.29%	0.03	0.26	30.00%	0.03	0.00
Jodi Jones	44	3510	63.31	32.97	85.15%	5.91%	–	–	–	1.97	–	8.10	20.57%	1.95	42.11%	–	–	4.05	48.10%	0.85	2.05	38.75%	0.15	0.62
Jim O'Brien	42	1951	70.72	57.48	88.20%	3.93%	–	–	–	0.97	–	0.97	19.05%	2.26	55.10%	–	–	0.83	55.56%	0.05	0.97	42.86%	0.18	0.00
John Bostock	40	2755	85.69	75.33	92.76%	4.86%	–	–	–	0.52	–	0.75	26.09%	3.66	71.43%	–	–	0.52	56.25%	0.07	0.56	17.65%	0.07	0.03
David McGoldrick	38	2745	54.75	36.00	80.42%	5.92%	–	–	–	0.79	–	1.05	18.75%	2.13	56.92%	–	–	3.38	65.05%	0.23	3.25	41.41%	0.39	0.13
Richard Brindley	30	2105	96.37	87.22	94.95%	2.70%	–	–	–	0.13	–	0.34	12.50%	2.35	60.00%	–	–	0.64	66.67%	0.00	0.17	0.00%	0.00	0.04
Lewis Macari	24	1794	87.09	71.24	90.63%	3.94%	–	–	–	0.35	–	1.35	22.22%	2.81	51.79%	–	–	1.25	60.00%	0.00	0.35	42.86%	0.05	0.00
Aidan Stone	24	2040	67.19	57.44	62.98%	48.85%	–	–	–	0.04	–	0.00	–	28.06	26.73%	–	–	0.04	0.00%	0.00	0.00	–	0.00	0.00
Tobi Adebayo-Rowling	23	856	68.97	42.79	84.03%	3.44%	–	–	–	1.05	–	9.04	17.44%	1.47	64.29%	–	–	2.21	42.86%	0.21	0.32	33.33%	0.00	0.11
Connell Rawlinson	21	1053	91.03	83.42	91.91%	7.17%	–	–	–	0.26	–	0.17	0.00%	5.98	67.14%	–	–	0.43	80.00%	0.00	0.17	50.00%	0.09	0.00
Adam Chicksen	21	948	70.82	51.08	90.15%	4.28%	–	–	–	0.85	–	3.23	32.35%	2.18	69.57%	–	–	0.85	55.56%	0.19	0.00	–	0.00	0.09
Matt Palmer	17	1389	100.56	89.16	92.08%	5.23%	–	–	–	1.17	–	1.17	27.78%	4.67	61.11%	–	–	0.58	66.67%	0.26	0.45	14.29%	0.00	0.13
Sam Slocombe	17	1467	74.11	60.80	67.51%	43.09%	–	–	–	0.00	–	0.00	–	26.20	26.46%	–	–	0.00	–	0.00	0.00	–	0.00	0.00
Scott Robertson	17	1358	69.32	56.73	89.72%	1.99%	–	–	–	0.80	–	0.13	0.00%	1.13	41.18%	–	–	1.13	47.06%	0.13	0.73	27.27%	0.00	0.13
Junior Morias	13	379	22.32	13.54	89.47%	0.00%	–	–	–	0.00	–	0.00	–	0.00	–	–	–	0.95	50.00%	0.00	2.85	25.00%	0.47	0.00
Will Randall	12	283	57.88	38.16	93.33%	1.67%	–	–	–	1.27	–	2.86	22.22%	0.64	100.00%	–	–	3.18	40.00%	0.32	0.00	–	0.00	0.32
Luca Ashby-Hammond	11	990	60.91	48.91	66.36%	47.03%	–	–	–	0.18	–	0.00	–	23.00	30.04%	–	–	0.18	50.00%	0.09	0.00	–	0.00	0.09
Jaden Warner	10	634	80.35	69.56	90.41%	7.55%	–	–	–	0.28	–	0.57	25.00%	5.25	54.05%	–	–	0.71	80.00%	0.00	0.14	0.00%	0.00	0.00
Alassana Jatta	10	522	26.72	13.45	76.92%	3.85%	–	–	–	0.52	–	0.17	0.00%	0.52	33.33%	–	–	1.55	11.11%	0.17	2.59	53.33%	0.86	0.34
Cedwyn Scott	10	202	26.29	18.27	82.93%	0.00%	–	–	–	0.89	–	0.00	–	0.00	–	–	–	2.23	60.00%	0.00	0.45	100.00%	0.00	0.00
Dan Gosling	7	122	104.75	98.11	93.23%	4.51%	–	–	–	0.00	–	0.74	0.00%	4.43	100.00%	–	–	0.74	0.00%	0.00	0.00	–	0.00	0.00
Oliver Tipton	5	222	104.19	89.59	88.69%	8.14%	–	–	–	0.41	–	2.84	14.29%	7.30	50.00%	–	–	0.81	50.00%	0.00	0.00	–	0.00	0.00
Charlie Colkett	3	30	99.00	78.00	96.15%	11.54%	–	–	–	6.00	–	3.00	0.00%	9.00	100.00%	–	–	3.00	0.00%	0.00	6.00	50.00%	0.00	0.00
Lucien Mahovo	2	91	122.64	96.92	85.71%	7.14%	–	–	–	0.00	–	0.99	0.00%	6.92	71.43%	–	–	1.98	100.00%	0.00	0.00	–	0.00	0.00
Luther Munakandafa	2	108	79.17	50.83	93.44%	0.00%	–	–	–	0.83	–	7.50	11.11%	0.00	–	–	–	3.33	50.00%	0.00	0.83	0.00%	0.00	0.00
James Sanderson	2	31	90.00	55.16	78.95%	10.53%	–	–	–	5.81	–	5.81	50.00%	5.81	100.00%	–	–	5.81	100.00%	0.00	2.90	0.00%	0.00	0.00
Madou Cisse	2	28	67.50	48.21	60.00%	6.67%	–	–	–	3.21	–	3.21	100.00%	3.21	0.00%	–	–	3.21	0.00%	0.00	0.00	–	0.00	0.00
Charlie Gill	2	35	51.43	25.71	100.00%	0.00%	–	–	–	0.00	–	2.57	0.00%	0.00	–	–	–	7.71	66.67%	0.00	2.57	0.00%	0.00	0.00
Geraldo Bajrami	1	11	81.82	73.64	77.78%	11.11%	–	–	–	0.00	–	0.00	–	8.18	0.00%	–	–	8.18	100.00%	0.00	0.00	–	0.00	0.00

Player	Apps	Min	Tackles	Tkl%	Int	Clr	Blk	Rec	Aerial	Aer%	Duel	Duel%	Disp	Past	Fls
Dan Crowley	46	3807	38/61	62.30%	17	13	18	172	10/37	27.03%	185/360	51.39%	49	37	39
Macaulay Langstaff	46	4030	11/19	57.89%	8	13	45	60	17/70	24.29%	68/221	30.77%	29	28	19
Aaron Nemane	44	3492	25/43	58.14%	12	36	14	136	11/67	16.42%	205/417	49.16%	40	19	23
Sam Austin	44	2390	14/20	70.00%	17	13	10	88	11/37	29.73%	76/168	45.24%	25	12	9
Kyle Cameron	43	3762	24/38	63.16%	25	113	35	205	59/102	57.84%	166/294	56.46%	27	14	31
Jodi Jones	43	3488	25/42	59.52%	8	13	25	191	5/49	10.20%	196/412	47.57%	41	16	34
Aden Baldwin	41	3345	16/27	59.26%	43	168	54	208	81/136	59.56%	155/247	62.75%	5	7	22
Jim O'Brien	38	1619	23/31	74.19%	16	18	17	92	7/24	29.17%	79/153	51.63%	7	14	30
John Bostock	37	2563	18/35	51.43%	18	29	12	171	31/67	46.27%	102/210	48.57%	10	26	35
David McGoldrick	37	2700	24/33	72.73%	6	28	25	66	73/154	47.40%	205/403	50.87%	42	14	30
Richard Brindley	27	1956	8/14	57.14%	12	38	21	88	22/52	42.31%	70/124	56.45%	5	4	10
Aidan Stone	23	1950	0/0	–	0	9	0	223	5/5	100.00%	5/8	62.50%	0	0	2
Lewis Macari	22	1614	10/21	47.62%	16	54	12	75	23/48	47.92%	77/136	56.62%	9	8	7
Adam Chicksen	19	768	5/8	62.50%	3	11	4	37	7/21	33.33%	27/56	48.21%	5	4	3
Tobi Adebayo-Rowling	19	521	5/5	100.00%	2	6	0	22	13/24	54.17%	26/51	50.98%	2	1	3
Connell Rawlinson	18	845	2/5	40.00%	9	16	6	44	19/29	65.52%	28/50	56.00%	2	4	5
Scott Robertson	17	1358	22/36	61.11%	11	16	8	67	24/38	63.16%	93/152	61.18%	9	6	21
Matt Palmer	16	1344	8/11	72.73%	21	25	13	94	16/37	43.24%	39/89	43.82%	9	11	7
Sam Slocombe	14	1197	1/1	100.00%	0	12	0	164	3/3	100.00%	11/12	91.67%	0	1	0
Luca Ashby-Hammond	11	990	0/0	–	0	12	0	103	9/9	100.00%	13/17	76.47%	0	2	1
Jaden Warner	10	634	4/7	57.14%	8	19	1	23	8/21	38.10%	20/41	48.78%	0	1	6
Alassana Jatta	10	522	6/12	50.00%	0	3	1	12	16/51	31.37%	31/85	36.47%	2	1	10
Will Randall	10	181	0/0	–	0	3	0	10	1/5	20.00%	3/20	15.00%	5	1	3
Junior Morias	9	172	1/1	100.00%	0	1	2	6	0/5	0.00%	4/15	26.67%	2	0	3
Cedwyn Scott	9	126	1/1	100.00%	1	0	1	7	1/1	100.00%	8/15	53.33%	3	2	0
Dan Gosling	6	94	0/0	–	0	0	0	4	1/2	50.00%	5/9	55.56%	1	1	0
Charlie Colkett	3	30	0/0	–	0	0	1	1	0/0	–	0/3	0.00%	0	0	2
Oliver Tipton	2	46	0/1	0.00%	0	1	0	2	2/2	100.00%	3/5	60.00%	0	1	1
James Sanderson	2	31	1/1	100.00%	1	0	0	1	0/1	0.00%	3/7	42.86%	2	1	0
Lucien Mahovo	1	1	0/0	–	0	0	0	0	0/0	–	1/1	100.00%	0	0	0
Madou Cisse	1	15	0/0	–	0	1	0	2	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
Dan Crowley	46	3807	1.44	62.30%	0.40	0.31	0.43	4.07	0.87	27.03%	8.51	51.39%	1.16	0.87	0.92
Macaulay Langstaff	46	4030	0.42	57.89%	0.18	0.29	1.00	1.34	1.56	24.29%	4.94	30.77%	0.65	0.63	0.42
Aaron Nemane	44	3492	1.11	58.14%	0.31	0.93	0.36	3.51	1.73	16.42%	10.75	49.16%	1.03	0.49	0.59
Sam Austin	44	2390	0.75	70.00%	0.64	0.49	0.38	3.31	1.39	29.73%	6.33	45.24%	0.94	0.45	0.34
Kyle Cameron	43	3762	0.91	63.16%	0.60	2.70	0.84	4.90	2.44	57.84%	7.03	56.46%	0.65	0.33	0.74
Jodi Jones	43	3488	1.08	59.52%	0.21	0.34	0.65	4.93	1.26	10.20%	10.63	47.57%	1.06	0.41	0.88
Aden Baldwin	41	3345	0.73	59.26%	1.16	4.52	1.45	5.60	3.66	59.56%	6.65	62.75%	0.13	0.19	0.59
Jim O'Brien	38	1619	1.72	74.19%	0.89	1.00	0.95	5.11	1.33	29.17%	8.51	51.63%	0.39	0.78	1.67
John Bostock	37	2563	1.23	51.43%	0.63	1.02	0.42	6.00	2.35	46.27%	7.37	48.57%	0.35	0.91	1.23
David McGoldrick	37	2700	1.10	72.73%	0.20	0.93	0.83	2.20	5.13	47.40%	13.43	50.87%	1.40	0.47	1.00
Richard Brindley	27	1956	0.64	57.14%	0.55	1.75	0.97	4.05	2.39	42.31%	5.71	56.45%	0.23	0.18	0.46
Aidan Stone	23	1950	0.00	–	0.00	0.42	0.00	10.29	0.23	100.00%	0.37	62.50%	0.00	0.00	0.09
Lewis Macari	22	1614	1.17	47.62%	0.89	3.01	0.67	4.18	2.68	47.92%	7.58	56.62%	0.50	0.45	0.39
Adam Chicksen	19	768	0.94	62.50%	0.35	1.29	0.47	4.34	2.46	33.33%	6.56	48.21%	0.59	0.47	0.35
Tobi Adebayo-Rowling	19	521	0.86	100.00%	0.35	1.04	0.00	3.80	4.15	54.17%	8.81	50.98%	0.35	0.17	0.52
Connell Rawlinson	18	845	0.53	40.00%	0.96	1.70	0.64	4.69	3.09	65.52%	5.33	56.00%	0.21	0.43	0.53
Scott Robertson	17	1358	2.39	61.11%	0.73	1.06	0.53	4.44	2.52	63.16%	10.07	61.18%	0.60	0.40	1.39
Matt Palmer	16	1344	0.74	72.73%	1.41	1.67	0.87	6.29	2.48	43.24%	5.96	43.82%	0.60	0.74	0.47
Sam Slocombe	14	1197	0.08	100.00%	0.00	0.90	0.00	12.33	0.23	100.00%	0.90	91.67%	0.00	0.08	0.00
Luca Ashby-Hammond	11	990	0.00	–	0.00	1.09	0.00	9.36	0.82	100.00%	1.55	76.47%	0.00	0.18	0.09
Jaden Warner	10	634	0.99	57.14%	1.14	2.70	0.14	3.26	2.98	38.10%	5.82	48.78%	0.00	0.14	0.85
Alassana Jatta	10	522	2.07	50.00%	0.00	0.52	0.17	2.07	8.79	31.37%	14.66	36.47%	0.34	0.17	1.72
Will Randall	10	181	0.00	–	0.00	1.49	0.00	4.97	2.49	20.00%	9.94	15.00%	2.49	0.50	1.49
Junior Morias	9	172	0.52	100.00%	0.00	0.52	1.05	3.14	2.62	0.00%	7.85	26.67%	1.05	0.00	1.57
Cedwyn Scott	9	126	0.71	100.00%	0.71	0.00	0.71	5.00	0.71	100.00%	10.71	53.33%	2.14	1.43	0.00
Dan Gosling	6	94	0.00	–	0.00	0.00	0.00	3.83	1.91	50.00%	8.62	55.56%	0.96	0.96	0.00
Charlie Colkett	3	30	0.00	–	0.00	0.00	3.00	3.00	0.00	–	9.00	0.00%	0.00	0.00	6.00
Oliver Tipton	2	46	1.96	0.00%	0.00	1.96	0.00	3.91	3.91	100.00%	9.78	60.00%	0.00	1.96	1.96
James Sanderson	2	31	2.90	100.00%	2.90	0.00	0.00	2.90	2.90	0.00%	20.32	42.86%	5.81	2.90	0.00
Lucien Mahovo	1	1	0.00	–	0.00	0.00	0.00	0.00	0.00	–	90.00	100.00%	0.00	0.00	0.00
Madou Cisse	1	15	0.00	–	0.00	6.00	0.00	12.00	0.00	–	6.00	0.00%	0.00	0.00	0.00

Player	Apps	Min	Tackles	Tkl%	Int	Clr	Blk	Rec	Aerial	Aer%	Duel	Duel%	Disp	Past	Fls
Dan Crowley	49	3965	39/62	62.90%	17	13	21	179	10/38	26.32%	190/369	51.49%	49	37	42
Sam Austin	48	2692	15/21	71.43%	18	14	11	96	11/44	25.00%	82/187	43.85%	29	12	10
Kyle Cameron	47	3981	26/41	63.41%	26	116	35	218	62/105	59.05%	173/309	55.99%	31	15	34
Macaulay Langstaff	47	4107	11/19	57.89%	8	13	46	61	18/72	25.00%	69/225	30.67%	30	28	19
Aaron Nemane	46	3650	27/45	60.00%	12	36	15	138	11/67	16.42%	214/431	49.65%	42	19	23
Aden Baldwin	44	3463	16/27	59.26%	44	172	54	216	82/137	59.85%	162/258	62.79%	5	8	24
Jodi Jones	44	3510	25/42	59.52%	8	13	26	191	5/50	10.00%	197/415	47.47%	41	17	34
Jim O'Brien	42	1951	28/39	71.79%	18	20	18	113	9/27	33.33%	93/180	51.67%	11	17	33
John Bostock	40	2755	20/38	52.63%	19	31	12	186	32/68	47.06%	110/220	50.00%	10	27	36
David McGoldrick	38	2745	24/33	72.73%	6	28	26	68	73/155	47.10%	207/408	50.74%	43	14	30
Richard Brindley	30	2105	9/15	60.00%	13	43	22	94	23/53	43.40%	78/138	56.52%	6	7	12
Lewis Macari	24	1794	12/24	50.00%	17	55	15	78	24/49	48.98%	85/147	57.82%	10	10	7
Aidan Stone	24	2040	0/0	–	0	10	0	231	5/5	100.00%	5/8	62.50%	0	0	2
Tobi Adebayo-Rowling	23	856	6/8	75.00%	5	7	0	35	17/32	53.12%	39/76	51.32%	5	1	4
Connell Rawlinson	21	1053	4/7	57.14%	11	20	7	57	20/32	62.50%	36/60	60.00%	2	4	5
Adam Chicksen	21	948	6/11	54.55%	6	12	4	53	9/24	37.50%	36/73	49.32%	7	6	5
Matt Palmer	17	1389	8/11	72.73%	21	25	13	94	16/38	42.11%	40/91	43.96%	9	11	7
Sam Slocombe	17	1467	1/1	100.00%	0	14	0	202	4/4	100.00%	12/14	85.71%	0	2	0
Scott Robertson	17	1358	22/36	61.11%	11	16	8	67	24/38	63.16%	93/152	61.18%	9	6	21
Junior Morias	13	379	1/1	100.00%	0	1	4	9	2/15	13.33%	8/31	25.81%	5	0	4
Will Randall	12	283	0/0	–	0	4	0	15	2/7	28.57%	10/35	28.57%	9	1	4
Luca Ashby-Hammond	11	990	0/0	–	0	12	0	103	9/9	100.00%	13/17	76.47%	0	2	1
Jaden Warner	10	634	4/7	57.14%	8	19	1	23	8/21	38.10%	20/41	48.78%	0	1	6
Alassana Jatta	10	522	6/12	50.00%	0	3	1	12	16/51	31.37%	31/85	36.47%	2	1	10
Cedwyn Scott	10	202	1/1	100.00%	1	0	1	8	2/3	66.67%	9/20	45.00%	3	3	2
Dan Gosling	7	122	0/0	–	0	0	0	4	1/2	50.00%	5/10	50.00%	1	2	0
Oliver Tipton	5	222	0/1	0.00%	0	2	1	13	5/7	71.43%	8/21	38.10%	4	4	2
Charlie Colkett	3	30	0/0	–	0	0	1	1	0/0	–	0/3	0.00%	0	0	2
Lucien Mahovo	2	91	2/3	66.67%	1	1	0	8	1/2	50.00%	6/12	50.00%	3	2	0
Luther Munakandafa	2	108	1/1	100.00%	2	0	0	3	1/2	50.00%	7/14	50.00%	4	0	0
James Sanderson	2	31	1/1	100.00%	1	0	0	1	0/1	0.00%	3/7	42.86%	2	1	0
Madou Cisse	2	28	0/0	–	0	1	0	4	0/0	–	0/2	0.00%	0	0	1
Charlie Gill	2	35	0/0	–	0	0	0	0	0/0	–	2/7	28.57%	2	0	2
Geraldo Bajrami	1	11	0/0	–	0	0	0	0	0/0	–	1/2	50.00%	0	1	0

Player	Apps	Min	Tackles	Tkl%	Int	Clr	Blk	Rec	Aerial	Aer%	Duel	Duel%	Disp	Past	Fls
Dan Crowley	49	3965	1.41	62.90%	0.39	0.30	0.48	4.06	0.86	26.32%	8.38	51.49%	1.11	0.84	0.95
Sam Austin	48	2692	0.70	71.43%	0.60	0.47	0.37	3.21	1.47	25.00%	6.25	43.85%	0.97	0.40	0.33
Kyle Cameron	47	3981	0.93	63.41%	0.59	2.62	0.79	4.93	2.37	59.05%	6.99	55.99%	0.70	0.34	0.77
Macaulay Langstaff	47	4107	0.42	57.89%	0.18	0.28	1.01	1.34	1.58	25.00%	4.93	30.67%	0.66	0.61	0.42
Aaron Nemane	46	3650	1.11	60.00%	0.30	0.89	0.37	3.40	1.65	16.42%	10.63	49.65%	1.04	0.47	0.57
Aden Baldwin	44	3463	0.70	59.26%	1.14	4.47	1.40	5.61	3.56	59.85%	6.71	62.79%	0.13	0.21	0.62
Jodi Jones	44	3510	1.08	59.52%	0.21	0.33	0.67	4.90	1.28	10.00%	10.64	47.47%	1.05	0.44	0.87
Jim O'Brien	42	1951	1.80	71.79%	0.83	0.92	0.83	5.21	1.25	33.33%	8.30	51.67%	0.51	0.78	1.52
John Bostock	40	2755	1.24	52.63%	0.62	1.01	0.39	6.08	2.22	47.06%	7.19	50.00%	0.33	0.88	1.18
David McGoldrick	38	2745	1.08	72.73%	0.20	0.92	0.85	2.23	5.08	47.10%	13.38	50.74%	1.41	0.46	0.98
Richard Brindley	30	2105	0.64	60.00%	0.56	1.84	0.94	4.02	2.27	43.40%	5.90	56.52%	0.26	0.30	0.51
Lewis Macari	24	1794	1.20	50.00%	0.85	2.76	0.75	3.91	2.46	48.98%	7.37	57.82%	0.50	0.50	0.35
Aidan Stone	24	2040	0.00	–	0.00	0.44	0.00	10.19	0.22	100.00%	0.35	62.50%	0.00	0.00	0.09
Tobi Adebayo-Rowling	23	856	0.84	75.00%	0.53	0.74	0.00	3.68	3.36	53.12%	7.99	51.32%	0.53	0.11	0.42
Connell Rawlinson	21	1053	0.60	57.14%	0.94	1.71	0.60	4.87	2.74	62.50%	5.13	60.00%	0.17	0.34	0.43
Adam Chicksen	21	948	1.04	54.55%	0.57	1.14	0.38	5.03	2.28	37.50%	6.93	49.32%	0.66	0.57	0.47
Matt Palmer	17	1389	0.71	72.73%	1.36	1.62	0.84	6.09	2.46	42.11%	5.90	43.96%	0.58	0.71	0.45
Sam Slocombe	17	1467	0.06	100.00%	0.00	0.86	0.00	12.39	0.25	100.00%	0.86	85.71%	0.00	0.12	0.00
Scott Robertson	17	1358	2.39	61.11%	0.73	1.06	0.53	4.44	2.52	63.16%	10.07	61.18%	0.60	0.40	1.39
Junior Morias	13	379	0.24	100.00%	0.00	0.24	0.95	2.14	3.56	13.33%	7.36	25.81%	1.19	0.00	0.95
Will Randall	12	283	0.00	–	0.00	1.27	0.00	4.77	2.23	28.57%	11.13	28.57%	2.86	0.32	1.27
Luca Ashby-Hammond	11	990	0.00	–	0.00	1.09	0.00	9.36	0.82	100.00%	1.55	76.47%	0.00	0.18	0.09
Jaden Warner	10	634	0.99	57.14%	1.14	2.70	0.14	3.26	2.98	38.10%	5.82	48.78%	0.00	0.14	0.85
Alassana Jatta	10	522	2.07	50.00%	0.00	0.52	0.17	2.07	8.79	31.37%	14.66	36.47%	0.34	0.17	1.72
Cedwyn Scott	10	202	0.45	100.00%	0.45	0.00	0.45	3.56	1.34	66.67%	8.91	45.00%	1.34	1.34	0.89
Dan Gosling	7	122	0.00	–	0.00	0.00	0.00	2.95	1.48	50.00%	7.38	50.00%	0.74	1.48	0.00
Oliver Tipton	5	222	0.41	0.00%	0.00	0.81	0.41	5.27	2.84	71.43%	8.51	38.10%	1.62	1.62	0.81
Charlie Colkett	3	30	0.00	–	0.00	0.00	3.00	3.00	0.00	–	9.00	0.00%	0.00	0.00	6.00
Lucien Mahovo	2	91	2.97	66.67%	0.99	0.99	0.00	7.91	1.98	50.00%	11.87	50.00%	2.97	1.98	0.00
Luther Munakandafa	2	108	0.83	100.00%	1.67	0.00	0.00	2.50	1.67	50.00%	11.67	50.00%	3.33	0.00	0.00
James Sanderson	2	31	2.90	100.00%	2.90	0.00	0.00	2.90	2.90	0.00%	20.32	42.86%	5.81	2.90	0.00
Madou Cisse	2	28	0.00	–	0.00	3.21	0.00	12.86	0.00	–	6.43	0.00%	0.00	0.00	3.21
Charlie Gill	2	35	0.00	–	0.00	0.00	0.00	0.00	0.00	–	18.00	28.57%	5.14	0.00	5.14
Geraldo Bajrami	1	11	0.00	–	0.00	0.00	0.00	0.00	0.00	–	16.36	50.00%	0.00	8.18	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 County89–86Opponents

Overview

65%Possession35%

573Total shots660

228Shots on target240

2709Final-third entries2387

144Touches in opposition box129

122Big chances106

65Big chances missed57

24216Accurate passes10961

528Free kicks336

263Corners229

356Fouls544

94Yellow cards118

3Red cards3

Shots

13Hit woodwork25

196Shots off target242

149Blocked shots178

383Shots inside box455

190Shots outside box205

Attack

57Big chances scored49

104Fouled in final third91

63Offsides143

23Through balls14

Passes

912Throw-ins764

1050/2581 (41%)Long balls1164/2764 (42%)

204/968 (21%)Crosses261/853 (31%)

532/732 (73%)Final third phase396/630 (63%)

Duels

50%Duels50%

331Dispossessed257

1429/2685 (53%)Ground duels1256/2685 (47%)

475/1097 (43%)Aerial duels622/1097 (57%)

434/794 (55%)Dribbles236/453 (52%)

Defending

61%Tackles won60%

473Total tackles691

254Interceptions426

2374Recoveries2352

671Clearances831

1Errors lead to a shot1

3Errors lead to a goal0

Goalkeeping

150Total saves134

366Goal kicks364

4High claims2

2Punches2

3Big saves2

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	7	3	11	33%	1.14	40	50	-10
3-1-4-2	5	2	1	2	40%	1.40	11	7	+4
3-4-3	5	3	2	0	60%	2.20	9	5	+4
3-3-3-1	3	2	0	1	67%	2.00	10	4	+6
3-2-4-1	2	0	0	2	0%	0.00	1	4	-3
3-5-2	2	1	0	1	50%	1.50	3	2	+1
3-4-1-2	2	1	1	0	50%	2.00	5	2	+3
4-2-3-1	2	0	0	2	0%	0.00	1	4	-3
3-3-1-3	1	1	0	0	100%	3.00	1	0	+1
4-5-1	1	0	0	1	0%	0.00	1	2	-1
4-4-1-1	1	1	0	0	100%	3.00	3	1	+2
5-3-2	1	0	0	1	0%	0.00	4	5	-1

Record vs opponent formation

Opp formation	P	W	D	L	Win%	PPG	GF	GA	GD
4-2-3-1	10	5	3	2	50%	1.80	24	17	+7
4-4-2	6	4	0	2	67%	2.00	15	11	+4
3-5-2	6	2	3	1	33%	1.50	10	7	+3
4-3-1-2	5	1	0	4	20%	0.60	9	17	-8
3-4-1-2	5	3	0	2	60%	1.80	13	8	+5
5-3-2	4	1	0	3	25%	0.75	4	6	-2
3-4-2-1	3	0	1	2	0%	0.33	4	7	-3
4-3-3	2	1	0	1	50%	1.50	2	2	+0
3-4-3	2	0	0	2	0%	0.00	1	3	-2
3-5-1-1	1	0	0	1	0%	0.00	1	2	-1
4-1-4-1	1	1	0	0	100%	3.00	2	1	+1
3-1-4-2	1	0	0	1	0%	0.00	4	5	-1

Record vs opponent back-line

Opp shape	P	W	D	L	Win%	PPG	GF	GA	GD
Back four	24	12	3	9	50%	1.62	52	48	+4
Back three	18	5	4	9	28%	1.06	33	32	+1
Back five	4	1	0	3	25%	0.75	4	6	-2

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 (52 games)

Notts County96–99Opponents

Overview

65%Possession35%

604Total shots709

236Shots on target264

2989Final-third entries2545

144Touches in opposition box129

126Big chances117

68Big chances missed64

26953Accurate passes11967

575Free kicks362

280Corners240

382Fouls591

100Yellow cards128

4Red cards3

Shots

14Hit woodwork27

208Shots off target260

160Blocked shots185

407Shots inside box489

197Shots outside box220

Attack

58Big chances scored53

116Fouled in final third93

71Offsides160

23Through balls15

Passes

998Throw-ins807

1182/2816 (42%)Long balls1238/2952 (42%)

222/1086 (20%)Crosses271/881 (31%)

532/732 (73%)Final third phase396/630 (63%)

Duels

50%Duels50%

374Dispossessed278

1542/2910 (53%)Ground duels1368/2910 (47%)

502/1158 (43%)Aerial duels656/1158 (57%)

466/847 (55%)Dribbles259/489 (53%)

Defending

62%Tackles won60%

507Total tackles755

273Interceptions468

2581Recoveries2561

701Clearances925

1Errors lead to a shot1

3Errors lead to a goal0

Goalkeeping

166Total saves139

388Goal kicks397

4High claims2

2Punches2

3Big saves2

Team record by formation (52 games)

Notts County by their own formation

Formation	P	W	D	L	Win%	PPG	GF	GA	GD
3-4-2-1	24	8	3	13	33%	1.12	45	57	-12
3-1-4-2	5	2	1	2	40%	1.40	11	7	+4
3-4-3	5	3	2	0	60%	2.20	9	5	+4
4-2-3-1	3	0	0	3	0%	0.00	2	6	-4
3-3-3-1	3	2	0	1	67%	2.00	10	4	+6
3-2-4-1	2	0	0	2	0%	0.00	1	4	-3
3-5-2	2	1	0	1	50%	1.50	3	2	+1
3-4-1-2	2	1	1	0	50%	2.00	5	2	+3
5-3-2	2	0	0	2	0%	0.00	5	7	-2
3-3-1-3	1	1	0	0	100%	3.00	1	0	+1
4-5-1	1	0	0	1	0%	0.00	1	2	-1
4-4-1-1	1	1	0	0	100%	3.00	3	1	+2
4-4-2	1	0	0	1	0%	0.00	0	2	-2

Record vs opponent formation

Opp formation	P	W	D	L	Win%	PPG	GF	GA	GD
4-2-3-1	11	5	3	3	45%	1.64	25	19	+6
4-4-2	7	4	0	3	57%	1.71	17	14	+3
3-5-2	7	3	3	1	43%	1.71	13	9	+4
4-3-1-2	5	1	0	4	20%	0.60	9	17	-8
3-4-1-2	5	3	0	2	60%	1.80	13	8	+5
5-3-2	5	1	0	4	20%	0.60	5	8	-3
3-4-2-1	4	0	1	3	0%	0.25	4	9	-5
3-4-3	3	0	0	3	0%	0.00	1	5	-4
4-3-3	2	1	0	1	50%	1.50	2	2	+0
3-5-1-1	1	0	0	1	0%	0.00	1	2	-1
4-1-4-1	1	1	0	0	100%	3.00	2	1	+1
3-1-4-2	1	0	0	1	0%	0.00	4	5	-1

Record vs opponent back-line

Opp shape	P	W	D	L	Win%	PPG	GF	GA	GD
Back four	26	12	3	11	46%	1.50	55	53	+2
Back three	21	6	4	11	29%	1.05	36	38	-2
Back five	5	1	0	4	20%	0.60	5	8	-3

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
▸ Matt Palmer	16	1.88	–	–
RCM	13	2.23	–	–
LCM	2	0.50	–	–
CM	1	0.00	–	–
▸ Alassana Jatta	6	1.83	–	–
LST	3	2.33	–	–
RST	3	1.33	–	–
▸ Richard Brindley	22	1.64	–	–
RCB	13	1.31	–	–
CB	9	2.11	–	–
▸ Connell Rawlinson	9	1.56	–	–
RCB	6	1.83	–	–
LCB	2	1.50	–	–
CB	1	0.00	–	–
▸ Aidan Stone	22	1.45	–	–
GK	22	1.45	–	–
▸ Luca Ashby-Hammond	11	1.45	–	–
GK	11	1.45	–	–
▸ John Bostock	31	1.42	–	–
LCM	14	1.86	–	–
LWB	4	0.75	–	–
CM	4	2.25	–	–
RCM	4	0.75	–	–
LDM	2	0.00	–	–
DM	1	3.00	–	–
LAM	1	0.00	–	–
RDM	1	0.00	–	–
▸ Sam Austin	26	1.38	–	–
LCM	9	1.67	–	–
LAM	6	1.17	–	–
RAM	2	0.00	–	–
RCM	2	1.50	–	–
LWB	2	1.50	–	–
RWB	2	3.00	–	–
AM	1	1.00	–	–
CM	1	0.00	–	–
ST	1	1.00	–	–
▸ Kyle Cameron	43	1.35	–	–
LCB	38	1.37	–	–
LB	3	1.00	–	–
CB	2	1.50	–	–
▸ David McGoldrick	32	1.34	–	–
LAM	18	1.33	–	–
ST	5	1.20	–	–
LW	4	2.50	–	–
LST	3	0.00	–	–
AM	2	1.50	–	–
▸ Macaulay Langstaff	46	1.33	–	–
ST	30	1.33	–	–
RST	6	1.17	–	–
LST	4	1.75	–	–
LM	3	1.00	–	–
LAM	1	0.00	–	–
AM	1	3.00	–	–
LW	1	1.00	–	–
▸ Dan Crowley	43	1.33	–	–
RAM	23	1.22	–	–
RCM	8	1.12	–	–
RW	5	2.20	–	–
AM	3	3.00	–	–
RM	3	0.00	–	–
LAM	1	0.00	–	–
▸ Aden Baldwin	37	1.30	–	–
CB	29	1.21	–	–
RCB	4	2.25	–	–
LCB	3	1.00	–	–
RCM	1	1.00	–	–
▸ Lewis Macari	18	1.28	–	–
RCB	15	1.13	–	–
LCB	2	1.50	–	–
RB	1	3.00	–	–
▸ Jodi Jones	40	1.25	–	–
LWB	23	1.52	–	–
LM	8	1.12	–	–
AM	2	0.00	–	–
LW	1	3.00	–	–
LCM	1	0.00	–	–
RAM	1	0.00	–	–
LAM	1	0.00	–	–
RM	1	3.00	–	–
RCM	1	0.00	–	–
RWB	1	0.00	–	–
▸ Aaron Nemane	39	1.23	–	–
RWB	24	1.08	–	–
RM	9	1.44	–	–
RB	2	0.00	–	–
LCM	2	1.50	–	–
RW	1	3.00	–	–
RAM	1	3.00	–	–
▸ Sam Slocombe	13	1.00	–	–
GK	13	1.00	–	–
▸ Jim O'Brien	15	0.93	–	–
LCM	5	1.40	–	–
RCM	5	0.60	–	–
LDM	1	0.00	–	–
RDM	1	0.00	–	–
RWB	1	3.00	–	–
RCB	1	1.00	–	–
RAM	1	0.00	–	–
▸ Adam Chicksen	8	0.75	–	–
LM	3	1.33	–	–
LWB	2	0.50	–	–
LB	1	0.00	–	–
LCB	1	0.00	–	–
CB	1	1.00	–	–
▸ Jaden Warner	8	0.75	–	–
RCB	7	0.86	–	–
RB	1	0.00	–	–
▸ Scott Robertson	16	0.75	–	–
DM	4	1.00	–	–
LCM	4	0.50	–	–
RDM	2	0.00	–	–
CM	2	1.50	–	–
RCM	2	1.50	–	–
RM	1	0.00	–	–
LDM	1	0.00	–	–

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+
▸ Matt Palmer	16	1.88	1.03	+0.84	+13.5	–
RCM	13	2.23	·	+1.2	+15.6	–
LCM	2	0.50	·	-0.53	-1.1	–
CM	1	0.00	·	-1.03	-1.0	–
▸ Richard Brindley	22	1.64	1.04	+0.59	+13.1	–
RCB	13	1.31	·	+0.27	+3.5	–
CB	9	2.11	·	+1.07	+9.6	–
▸ John Bostock	31	1.42	1.13	+0.29	+8.9	–
LCM	14	1.86	·	+0.72	+10.1	–
CM	4	2.25	·	+1.12	+4.5	–
RCM	4	0.75	·	-0.38	-1.5	–
LWB	4	0.75	·	-0.38	-1.5	–
LDM	2	0.00	·	-1.13	-2.3	–
DM	1	3.00	·	+1.87	+1.9	–
LAM	1	0.00	·	-1.13	-1.1	–
RDM	1	0.00	·	-1.13	-1.1	–
▸ Aidan Stone	22	1.45	1.21	+0.25	+5.4	–
GK	22	1.45	·	+0.25	+5.4	–
▸ Alassana Jatta	6	1.83	1.25	+0.58	+3.5	–
LST	3	2.33	·	+1.08	+3.3	–
RST	3	1.33	·	+0.08	+0.2	–
▸ Sam Austin	26	1.38	1.25	+0.13	+3.5	–
LCM	9	1.67	·	+0.42	+3.8	–
LAM	6	1.17	·	-0.08	-0.5	–
RWB	2	3.00	·	+1.75	+3.5	–
RCM	2	1.50	·	+0.25	+0.5	–
LWB	2	1.50	·	+0.25	+0.5	–
RAM	2	0.00	·	-1.25	-2.5	–
ST	1	1.00	·	-0.25	-0.2	–
AM	1	1.00	·	-0.25	-0.2	–
CM	1	0.00	·	-1.25	-1.2	–
▸ Connell Rawlinson	9	1.56	1.27	+0.29	+2.6	–
RCB	6	1.83	·	+0.56	+3.4	–
LCB	2	1.50	·	+0.23	+0.5	–
CB	1	0.00	·	-1.27	-1.3	–
▸ Luca Ashby-Hammond	11	1.45	1.29	+0.17	+1.9	–
GK	11	1.45	·	+0.17	+1.9	–
▸ David McGoldrick	32	1.34	1.29	+0.06	+1.9	–
LAM	18	1.33	·	+0.05	+0.9	–
ST	5	1.20	·	-0.09	-0.4	–
LW	4	2.50	·	+1.21	+4.9	–
LST	3	0.00	·	-1.29	-3.9	–
AM	2	1.50	·	+0.21	+0.4	–
▸ Lewis Macari	18	1.28	1.36	-0.08	-1.4	–
RCB	15	1.13	·	-0.22	-3.4	–
LCB	2	1.50	·	+0.14	+0.3	–
RB	1	3.00	·	+1.64	+1.6	–
▸ Aden Baldwin	37	1.30	1.44	-0.15	-5.4	–
CB	29	1.21	·	-0.24	-6.9	–
RCB	4	2.25	·	+0.81	+3.2	–
LCB	3	1.00	·	-0.44	-1.3	–
RCM	1	1.00	·	-0.44	-0.4	–
▸ Adam Chicksen	8	0.75	1.45	-0.7	-5.6	–
LM	3	1.33	·	-0.11	-0.3	–
LWB	2	0.50	·	-0.95	-1.9	–
CB	1	1.00	·	-0.45	-0.4	–
LCB	1	0.00	·	-1.45	-1.4	–
LB	1	0.00	·	-1.45	-1.4	–
▸ Jaden Warner	8	0.75	1.45	-0.7	-5.6	–
RCB	7	0.86	·	-0.59	-4.1	–
RB	1	0.00	·	-1.45	-1.4	–
▸ Sam Slocombe	13	1.00	1.45	-0.45	-5.9	–
GK	13	1.00	·	-0.45	-5.9	–
▸ Jim O'Brien	15	0.93	1.52	-0.58	-8.7	–
LCM	5	1.40	·	-0.12	-0.6	–
RCM	5	0.60	·	-0.92	-4.6	–
RWB	1	3.00	·	+1.48	+1.5	–
RCB	1	1.00	·	-0.52	-0.5	–
RAM	1	0.00	·	-1.52	-1.5	–
RDM	1	0.00	·	-1.52	-1.5	–
LDM	1	0.00	·	-1.52	-1.5	–
▸ Scott Robertson	16	0.75	1.63	-0.88	-14.1	–
DM	4	1.00	·	-0.63	-2.5	–
LCM	4	0.50	·	-1.13	-4.5	–
RCM	2	1.50	·	-0.13	-0.3	–
CM	2	1.50	·	-0.13	-0.3	–
RDM	2	0.00	·	-1.63	-3.3	–
LDM	1	0.00	·	-1.63	-1.6	–
RM	1	0.00	·	-1.63	-1.6	–
▸ Jodi Jones	40	1.25	1.83	-0.58	-23.3	–
LWB	23	1.52	·	-0.31	-7.2	–
LM	8	1.12	·	-0.71	-5.7	–
AM	2	0.00	·	-1.83	-3.7	–
RM	1	3.00	·	+1.17	+1.2	–
LW	1	3.00	·	+1.17	+1.2	–
LAM	1	0.00	·	-1.83	-1.8	–
RAM	1	0.00	·	-1.83	-1.8	–
RCM	1	0.00	·	-1.83	-1.8	–
RWB	1	0.00	·	-1.83	-1.8	–
LCM	1	0.00	·	-1.83	-1.8	–
▸ Aaron Nemane	39	1.23	1.86	-0.63	-24.4	–
RWB	24	1.08	·	-0.77	-18.6	–
RM	9	1.44	·	-0.41	-3.7	–
LCM	2	1.50	·	-0.36	-0.7	–
RB	2	0.00	·	-1.86	-3.7	–
RAM	1	3.00	·	+1.14	+1.1	–
RW	1	3.00	·	+1.14	+1.1	–

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
Alassana Jatta	522	14	7	+7	+1.21	2.41	1.21
John Bostock	2563	65	53	+12	+0.42	2.28	1.86
Tobi Adebayo-Rowling	521	13	11	+2	+0.35	2.25	1.9
Matt Palmer	1344	31	26	+5	+0.33	2.08	1.74
Aidan Stone	1950	49	42	+7	+0.32	2.26	1.94
Luca Ashby-Hammond	990	22	19	+3	+0.27	2.00	1.73
Aden Baldwin	3345	75	67	+8	+0.22	2.02	1.8
Dan Crowley	3807	84	76	+8	+0.19	1.99	1.8
Richard Brindley	1956	51	47	+4	+0.18	2.35	2.16
Kyle Cameron	3762	83	76	+7	+0.17	1.99	1.82
Lewis Macari	1614	28	25	+3	+0.17	1.56	1.39
Jodi Jones	3488	75	69	+6	+0.15	1.94	1.78
Sam Austin	2390	54	50	+4	+0.15	2.03	1.88
Macaulay Langstaff	4030	87	84	+3	+0.07	1.94	1.88
Aaron Nemane	3492	69	71	-2	-0.05	1.78	1.83
David McGoldrick	2700	59	61	-2	-0.07	1.97	2.03
Jim O'Brien	1619	27	34	-7	-0.39	1.50	1.89
Jaden Warner	634	11	14	-3	-0.43	1.56	1.99
Scott Robertson	1358	22	29	-7	-0.46	1.46	1.92
Connell Rawlinson	845	17	24	-7	-0.75	1.81	2.56
Sam Slocombe	1197	19	29	-10	-0.75	1.43	2.18
Adam Chicksen	768	10	17	-7	-0.82	1.17	1.99

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
3-4-3	5	2.20	–	–
3-3-3-1	3	2.00	–	–
3-1-4-2	5	1.40	–	–
3-4-2-1	21	1.14	–	–

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: Alassana Jatta (6 starts, +3.5 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 61 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
Jodi Jones	MID	43	3488	8.82	0.5	9.32	15.3%	0.24	–	–	–	6.9
Dan Crowley	FWD	46	3807	7.41	0.62	8.04	13.2%	0.19	–	–	–	6.8
Macaulay Langstaff	FWD	46	4030	7.1	0.39	7.49	12.3%	0.167	–	–	–	6.3
David McGoldrick	FWD	37	2700	4.78	0.53	5.31	8.7%	0.177	–	–	–	6.8
Aaron Nemane	MID	44	3492	3.19	0.4	3.59	5.9%	0.092	–	–	–	6.2
Aden Baldwin	DEF	41	3345	0.37	2.47	2.84	4.6%	0.076	–	–	–	6.4
Aidan Stone	GK	23	1950	1.61	1.21	2.83	4.6%	0.13	–	–	–	7.0
Kyle Cameron	DEF	43	3762	1.01	1.58	2.59	4.2%	0.062	–	–	–	6.1
Matt Palmer	MID	16	1344	1.73	0.69	2.42	4.0%	0.162	–	–	–	6.5
John Bostock	MID	37	2563	1.63	0.74	2.37	3.9%	0.083	–	–	–	5.9
Sam Austin	MID	44	2390	1.85	0.39	2.24	3.7%	0.084	–	–	–	5.9
Luca Ashby-Hammond	GK	11	990	1.04	0.88	1.92	3.1%	0.174	–	–	–	7.2
Jim O'Brien	MID	38	1619	1.08	0.64	1.72	2.8%	0.096	–	–	–	6.2
Alassana Jatta	FWD	10	522	1.34	0.09	1.44	2.4%	0.247	–	–	–	6.7
Lewis Macari	DEF	22	1614	0.56	0.6	1.16	1.9%	0.065	–	–	–	6.0
Sam Slocombe	GK	14	1197	0.86	0.27	1.13	1.8%	0.085	–	–	–	7.4
Richard Brindley	DEF	27	1956	0.33	0.59	0.92	1.5%	0.042	–	–	–	5.5
Tobi Adebayo-Rowling	DEF	19	521	0.68	0.12	0.8	1.3%	0.138	–	–	–	6.3
Connell Rawlinson	DEF	18	845	0.3	0.33	0.63	1.0%	0.067	–	–	–	5.6
Scott Robertson	MID	17	1358	0.14	0.47	0.62	1.0%	0.041	–	–	–	6.2
Adam Chicksen	DEF	19	768	0.36	0.19	0.55	0.9%	0.064	–	–	–	6.0
Junior Morias	FWD	9	172	0.27	0.04	0.31	0.5%	0.163	–	–	–	6.3
Cedwyn Scott	FWD	9	126	0.18	0.06	0.24	0.4%	0.169	–	–	–	6.3
Jaden Warner	DEF	10	634	0.01	0.22	0.23	0.4%	0.033	–	–	–	5.9
Will Randall	MID	10	181	0.16	0.01	0.17	0.3%	0.084	–	–	–	6.2
Charlie Colkett	MID	3	30	0.05	0.0	0.05	0.1%	0.136	–	–	–	6.3
Madou Cisse	MID	1	15	0.04	0.01	0.05	0.1%	0.293	–	–	–	6.3
Oliver Tipton	DEF	2	46	0.0	0.04	0.04	0.1%	0.074	–	–	–	6.3
Dan Gosling	MID	6	94	0.0	0.01	0.01	0.0%	0.013	–	–	–	6.2
Lucien Mahovo	DEF	1	1	0.0	0.0	0.0	0.0%	0.0	–	–	–	6.3
James Sanderson	MID	2	31	0.0	0.0	0.0	0.0%	0.009	–	–	–	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.