Page 35 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	34	65	19	8	7	55 - 34	+0.62	2.62	1.62	1.00
2	Jahn Regensburg	34	61	17	10	7	48 - 36	+0.35	2.47	1.41	1.06
3	SC Preussen Munster	34	58	16	10	8	57 - 43	+0.41	2.94	1.68	1.26
4	Dynamo Dresden	34	55	17	4	13	51 - 37	+0.41	2.59	1.50	1.09
5	Rot-Weiss Essen	34	55	16	7	11	53 - 47	+0.18	2.94	1.56	1.38
6	Saarbrücken	34	54	13	15	6	56 - 37	+0.56	2.74	1.65	1.09
7	Erzgebirge Aue	34	52	14	10	10	44 - 43	+0.03	2.56	1.29	1.26
8	Sandhausen	34	52	14	10	10	52 - 49	+0.09	2.97	1.53	1.44
9	Borussia Dortmund II	34	49	13	10	11	52 - 47	+0.15	2.91	1.53	1.38
10	FC Ingolstadt	34	49	13	10	11	57 - 44	+0.38	2.97	1.68	1.29
11	Unterhaching	34	49	14	7	13	46 - 45	+0.03	2.68	1.35	1.32
12	Viktoria Köln	34	48	13	9	12	55 - 56	-0.03	3.26	1.62	1.65
13	SC Verl 1924	34	46	12	10	12	53 - 51	+0.06	3.06	1.56	1.50
14	1860 Munich	34	43	12	7	15	38 - 36	+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.	34	38	10	8	16	45 - 54	-0.26	2.91	1.32	1.59
17	Hallescher FC	34	35	10	5	19	48 - 66	-0.53	3.35	1.41	1.94
18	MSV Duisburg	34	30	7	9	18	33 - 53	-0.59	2.53	0.97	1.56
19	VfB Lübeck	34	27	5	12	17	28 - 65	-1.09	2.74	0.82	1.91
20	SC Freiburg II	34	24	6	6	22	31 - 59	-0.82	2.65	0.91	1.74
All		680	46.6	251	178	251	948 - 948	-0	2.79	1.39	1.39

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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