Free football Over Under predictions and tips for Germany 2. Bundesliga

#	Name	P	W	D	L	Goals	Last 5	Pts
1	FC Schalke 04	34	21	7	6	50:31	WLWWW	70
2	SV Elversberg	34	18	8	8	64:39	WLWDW	62
3	SC Paderborn 07	34	18	8	8	59:45	WDLLD	62
4	Hannover 96	34	16	12	6	60:44	DDDWD	60
5	SV Darmstadt 98	34	13	13	8	57:45	LDLDL	52
6	1. FC Kaiserslautern	34	16	4	14	52:47	WWLLL	52
7	Hertha BSC	34	14	9	11	47:44	LWLLD	51
8	1. FC Nürnberg	34	12	10	12	47:45	DWDWD	46
9	VfL Bochum	34	11	11	12	49:47	WDDWL	44
10	Karlsruher SC	34	12	8	14	53:64	LDWLL	44
11	Dynamo Dresden	34	11	8	15	54:53	WLWLW	41
12	Holstein Kiel	34	11	8	15	44:48	LLWWW	41
13	Arminia Bielefeld	34	10	9	15	53:51	WLDWD	39
14	1. FC Magdeburg	34	12	3	19	52:58	LWWLW	39
15	Eintracht Braunschweig	34	10	7	17	36:54	LWLWD	37
16	SpVgg Greuther Fürth	34	10	7	17	49:68	WLDLW	37
17	Fortuna Düsseldorf	34	11	4	19	33:53	LWLWL	37
18	Preußen Münster	34	6	12	16	38:61	LDDLL	30

When are the Over/Under 2.5 Germany 2. Bundesliga Predictions available?

You can track down our Over/Under 2.5 goals 2. Bundesliga tips and predictions on this page, predictions are posted 4 days before any 2. Bundesliga event. Using artificial intelligence on football predictions help users predict outcomes for Over/Under 2.5 goals in a given event.

What is Over/Under 2.5 Predictions?

Over 2.5 is when three or more goals are scored in a match, regardless of which team scores, Under 2.5 example if the match produced no goals, one goal, or two goals, the final outcome is under 2.5 goals

Top Countries

News and Articles

Alavés pay a very high price for reaching the round of sixteen

Alavés beat Sevilla to reach the Copa del Rey round of sixteen, but injuries to Jonny Otto and Lucas Boyé threaten their plans ahead of the Osasuna clash.

Over and under goals: how AI predicts goal totals

Learn how AI predicts over and under goals by estimating expected goals, tempo, team styles, and variance, then converting them into calibrated probabilities for total goals markets.

Machine learning vs human intuition in match forecasting

Compare machine learning and human intuition in match forecasting, examining strengths, blind spots, and why a hybrid approach often delivers the most dependable predictions.

How AI Is Changing Football Predictions in 2026

Explore how artificial intelligence is transforming football predictions through richer data, smarter models, real-time context, and stronger transparency and governance.

Value betting explained with examples from AI probabilities

A clear, example-driven guide to value betting using AI probabilities, showing how to convert odds into implied probabilities, spot positive expected value, size stakes responsibly, and avoid common traps.

Expected goals explained and how AI uses xG to predict results

Understand expected goals (xG) from first principles and see how AI uses xG, shot quality, and team context to predict football results with stronger accuracy and calibration.