Page 16 3. Liga Germany stats of goals, corners, cards, referees. Advanced 3. Liga (Germany) football tournament tables (standings)

#	Team	M Matches quantity	P Points	W Wins	D Draws	L Losses	Diff Total difference	D_av Average difference	T Average total	IT1 Average team total	IT2 Average opponent total
1	SSV Ulm 1846	33	62	18	8	7	54 - 34	+0.61	2.67	1.64	1.03
2	Jahn Regensburg	33	61	17	10	6	48 - 35	+0.39	2.52	1.45	1.06
3	Dynamo Dresden	33	55	17	4	12	51 - 35	+0.48	2.61	1.55	1.06
4	SC Preussen Munster	33	55	15	10	8	55 - 43	+0.36	2.97	1.67	1.30
5	Saarbrücken	32	52	13	13	6	54 - 35	+0.59	2.78	1.69	1.09
6	Sandhausen	34	52	14	10	10	52 - 49	+0.09	2.97	1.53	1.44
7	Rot-Weiss Essen	32	51	15	6	11	50 - 46	+0.12	3.00	1.56	1.44
8	Erzgebirge Aue	33	49	13	10	10	42 - 42	0.00	2.55	1.27	1.27
9	Unterhaching	33	49	14	7	12	45 - 43	+0.06	2.67	1.36	1.30
10	Borussia Dortmund II	33	46	12	10	11	47 - 47	0.00	2.85	1.42	1.42
11	FC Ingolstadt	33	46	12	10	11	55 - 44	+0.33	3.00	1.67	1.33
12	SC Verl 1924	33	46	12	10	11	53 - 50	+0.09	3.12	1.61	1.52
13	Viktoria Köln	33	45	12	9	12	53 - 56	-0.09	3.30	1.61	1.70
14	1860 Munich	33	42	12	6	15	37 - 35	+0.06	2.18	1.12	1.06
15	Arminia Bielefeld	34	41	10	11	13	46 - 46	0.00	2.71	1.35	1.35
16	Waldhof Mannh.	33	38	10	8	15	45 - 52	-0.21	2.94	1.36	1.58
17	Hallescher FC	33	32	9	5	19	47 - 66	-0.58	3.42	1.42	2.00
18	MSV Duisburg	33	30	7	9	17	33 - 51	-0.55	2.55	1.00	1.55
19	VfB Lübeck	33	27	5	12	16	28 - 60	-0.97	2.67	0.85	1.82
20	SC Freiburg II	33	24	6	6	21	31 - 57	-0.79	2.67	0.94	1.73
All		660	45.2	243	174	243	926 - 926	-0	2.81	1.40	1.40

Explanation

M	Matches quantity
P	Points
W	Wins
D	Draws
L	Losses
Diff	Total difference
D_av	Average difference
T	Average total
IT1	Average team total
IT2	Average opponent total
CV_T	Coefficient of variation total
CV_IT1	Coefficient of variation team total
CV_IT2	Coefficient of variation opponent total

Seasons:	All 2023/24 2022/23 2021/22 2020/21 2019/20 2018/19 2017/18 2016/17 2015/16 2014/15
Field:	Home Away
Match intervals filter means that you can analyze separately match intervals of a team when it was winning, playing a draw or losing. After applying the filter the duration in minutes of selected interval(s) will appear in every match. The average data is calculated based on 95 minutes (the average duration of a football match). The filter is very useful for live betting, because it is no secret that, depending on the current score, the team’s style of play can vary greatly, and this directly affects the way the team holds the ball, takes corners, receives cards etc. x
Match intervals:	Match intervals: Win Draw Loss
From:		To:	Reset
Round:	Reset		Choose:	matches

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