2. Bundesliga

Germania · Season 2026/27

2026/27 2025/26 2024/25

Matchday 5 of 34 15%

League Table

18 Teams

#	Team	P	W	D	L	GF–GA	GD	Pts	Form
1	Hertha BSC — Champion	5	5	0	0	15–6	+9	15	V V V V V
2	1. FC Nürnberg — Promotion	5	4	1	0	15–6	+9	13	V P V V V
3	1. FC Heidenheim — Promotion Playoff	5	4	0	1	12–10	+2	12	V V V S V
4	1. FC Magdeburg	5	3	0	2	10–8	+2	9	V S V V S
5	VfL Wolfsburg	5	2	2	1	10–7	+3	8	S P V V P
6	1. FC Kaiserslautern	5	2	2	1	5–4	+1	8	S V V P P
7	Energie Cottbus	5	2	1	2	13–12	+1	7	V P S S V
8	VfL Bochum	5	2	1	2	4–4	+0	7	P V S V S
9	FC St. Pauli	5	1	3	1	7–7	+0	6	V P S P P
10	VfL Osnabrück	5	2	0	3	8–11	-3	6	S V V S S
11	SpVgg Greuther Fürth	5	1	2	2	8–10	-2	5	P S V S P
12	Karlsruher SC	5	1	2	2	6–11	-5	5	S P S P V
13	Eintracht Braunschweig	5	1	1	3	12–12	+0	4	P S S S V
14	Arminia Bielefeld	5	1	1	3	8–10	-2	4	S P S V S
15	Hannover 96	5	1	1	3	5–8	-3	4	S P V S S
16	SV Darmstadt 98 — Relegation Playoff	5	1	1	3	4–8	-4	4	V S S S P
17	Dynamo Dresden — Relegation	5	1	1	3	7–12	-5	4	P S S V S
18	Holstein Kiel — Relegation	5	0	3	2	6–9	-3	3	S P S P P
1	1. FC Nürnberg — Champion	3	3	0	0	9–2	+7	9	V V V
2	1. FC Heidenheim — Promotion	3	3	0	0	10–6	+4	9	V V V
3	Hertha BSC — Promotion Playoff	2	2	0	0	6–2	+4	6	V V
4	1. FC Magdeburg	3	2	0	1	6–6	+0	6	S V V
5	Arminia Bielefeld	2	1	1	0	5–2	+3	4	V P
6	1. FC Kaiserslautern	2	1	1	0	3–0	+3	4	P V
7	SV Darmstadt 98	3	1	1	1	4–4	+0	4	P S V
8	FC St. Pauli	3	1	1	1	3–3	+0	4	P S V
9	Energie Cottbus	2	1	0	1	6–5	+1	3	V S
10	Dynamo Dresden	2	1	0	1	2–2	+0	3	V S
11	VfL Osnabrück	3	1	0	2	4–7	-3	3	S V S
12	Karlsruher SC	3	1	0	2	4–9	-5	3	V S S
13	VfL Wolfsburg	2	0	2	0	4–4	+0	2	P P
14	Holstein Kiel	2	0	2	0	4–4	+0	2	P P
15	Hannover 96	2	0	1	1	2–3	-1	1	S P
16	VfL Bochum — Relegation Playoff	3	0	1	2	1–3	-2	1	S S P
17	Eintracht Braunschweig — Relegation	3	0	1	2	5–8	-3	1	S S P
18	SpVgg Greuther Fürth — Relegation	2	0	0	2	2–5	-3	0	S S
1	Hertha BSC — Champion	3	3	0	0	9–4	+5	9	V V V
2	VfL Wolfsburg — Promotion	3	2	0	1	6–3	+3	6	V V S
3	VfL Bochum — Promotion Playoff	2	2	0	0	3–1	+2	6	V V
4	SpVgg Greuther Fürth	3	1	2	0	6–5	+1	5	P V P
5	1. FC Nürnberg	2	1	1	0	6–4	+2	4	V P
6	Energie Cottbus	3	1	1	1	7–7	+0	4	S P V
7	1. FC Kaiserslautern	3	1	1	1	2–4	-2	4	P V S
8	Eintracht Braunschweig	2	1	0	1	7–4	+3	3	V S
9	1. FC Magdeburg	2	1	0	1	4–2	+2	3	V S
10	VfL Osnabrück	2	1	0	1	4–4	+0	3	S V
11	Hannover 96	3	1	0	2	3–5	-2	3	S V S
12	1. FC Heidenheim	2	1	0	1	2–4	-2	3	S V
13	FC St. Pauli	2	0	2	0	4–4	+0	2	P P
14	Karlsruher SC	2	0	2	0	2–2	+0	2	P P
15	Holstein Kiel	3	0	1	2	2–5	-3	1	P S S
16	Dynamo Dresden — Relegation Playoff	3	0	1	2	5–10	-5	1	S S P
17	SV Darmstadt 98 — Relegation	2	0	0	2	0–4	-4	0	S S
18	Arminia Bielefeld — Relegation	3	0	0	3	3–8	-5	0	S S S

Champion Promotion Promotion Playoff Relegation Relegation Playoff

End of season projections

Monte Carlo simulation · 10,000 simulated seasons · updated 15 Sep 2026

Champion Promotion Promotion Playoff Relegation Playoff Relegation

Team	Projected Pts	Schedule	Trend
Hertha BSC	67 (38–91) pos. ~2.0°	C15 · T14 ELO 1501	▲1%
1. FC Nürnberg	67 (40–92) pos. ~2.0°	C14 · T15 ELO 1503	▼0%
1. FC Heidenheim	54 (29–81) pos. ~5.9°	C14 · T15 ELO 1506	▼0%
1. FC Magdeburg	54 (29–80) pos. ~5.8°	C14 · T15 ELO 1503	▼0%
VfL Wolfsburg	52 (28–76) pos. ~6.5°	C15 · T14 ELO 1506	▼0%
1. FC Kaiserslautern	51 (24–77) pos. ~7.0°	C15 · T14 ELO 1507	▼0%
Energie Cottbus	50 (25–79) pos. ~7.8°	C15 · T14 ELO 1507	▼1%
VfL Bochum	48 (24–74) pos. ~9.0°	C14 · T15 ELO 1506	·
FC St. Pauli	43 (19–70) pos. ~11.4°	C14 · T15 ELO 1512	▲0%
VfL Osnabrück	43 (17–70) pos. ~11.6°	C14 · T15 ELO 1504	▼0%
SpVgg Greuther Fürth	44 (19–69) pos. ~11.2°	C15 · T14 ELO 1508	▲0%
Karlsruher SC	38 (17–64) pos. ~14.2°	C14 · T15 ELO 1506	▼0%
Eintracht Braunschweig	40 (17–64) pos. ~13.3°	C14 · T15 ELO 1506	▼1%
Arminia Bielefeld	43 (19–68) pos. ~11.5°	C15 · T14 ELO 1508	▲0%
Hannover 96	44 (18–73) pos. ~10.8°	C15 · T14 ELO 1501	▲0%
SV Darmstadt 98	38 (14–63) pos. ~14.2°	C14 · T15 ELO 1505	▼0%
Dynamo Dresden	40 (13–67) pos. ~13.4°	C15 · T14 ELO 1507	·
Holstein Kiel	39 (17–67) pos. ~13.5°	C15 · T14 ELO 1506	▲1%

% = probability of reaching that zone or better. Each sparkline shows the trend of the most relevant probability for each team over the last 12 daily simulations.

Upcoming matches

Eintracht Braunschweig

Recent results

Eintracht Braunschweig

Player statistics

⚽ Top scorers

F. Klaus

SpVgg Greuther Fürth

M. Zoma

1. FC Nürnberg

J. Grodowski

Arminia Bielefeld

T. Ciğerci

Energie Cottbus

P. Harres

Holstein Kiel

Jan Urbich

Eintracht Braunschweig

P. Scobel

1. FC Nürnberg

A. Marhiev

1. FC Nürnberg

O. Adewumi

Hertha BSC

J. Schöppner

1. FC Heidenheim

👟 Assists

B. Atik

1. FC Magdeburg

M. Costly

1. FC Heidenheim

S. Şahin

1. FC Kaiserslautern

P. Harres

Holstein Kiel

F. Reese

VfL Wolfsburg

J. Brekalo

Hertha BSC

A. Kaprálik

Holstein Kiel

M. Wanitzek

Karlsruher SC

M. Winkler

Hertha BSC

K. Faber

VfL Osnabrück

🟨 Yellow cards

T. Keller

Dynamo Dresden

J. Þorsteinsson

Hertha BSC

P. Seguin

Hertha BSC

I. Kanate

1. FC Kaiserslautern

P. Nadjombe

1. FC Magdeburg

O. Mhamdi

1. FC Heidenheim

I. Badjie

VfL Osnabrück

T. Müller

1. FC Magdeburg

M. Pannewig

VfL Bochum

F. Wagner

VfL Osnabrück

🟥 Red cards

D. Zeefuik

Hertha BSC

A. Vukotić

SV Darmstadt 98

H. Bockhorn

1. FC Magdeburg

Model & advanced data

Model calibration for this league▾

Probability band	Sample	Expected (mid)	Actual	Δ
50–60%%	10	55.00%	50.0%	-5.00%
60–70%%	5	65.00%	80.0%	+15.00%
70–100%%	4	85.00%	75.0%	-10.00%

Based on 19 verified predictions · Δ ≤ 5% = excellent calibration

xG: who scores more (or less) than they deserve▾

#	Team	Goals	xG	Δ
1	Hertha BSC	10	6.08	+3.92
2	1. FC Magdeburg	6	3.79	+2.21
3	Eintracht Braunschweig	9	7.11	+1.89
4	VfL Osnabrück	4	3.10	+0.90
5	SV Darmstadt 98	2	2.00	+0.00
6	1. FC Kaiserslautern	2	2.62	-0.62
7	Holstein Kiel	4	5.48	-1.48
8	FC St. Pauli	4	5.68	-1.68
9	VfL Bochum	1	3.66	-2.66
10	Hannover 96	2	6.29	-4.29

Δ = Goals scored − accumulated xG · green = overperforms, red = underperforms

Frequently Asked Questions

What predictions are available for 2. Bundesliga?

For 2. Bundesliga, ForzaPitch provides 1X2 win probabilities, expected goals (xG), Over 1.5 and Over 2.5 signals and season projections for title, European qualification and relegation per team.

How accurate are predictions for 2. Bundesliga?

Accuracy for 2. Bundesliga is tracked match by match and shown on this page. The model is calibrated specifically for 2. Bundesliga using per-league historical data.

How are 2. Bundesliga season projections calculated?

Season projections use 10,000 Monte Carlo simulations of the remaining fixtures, sampling from match probability distributions to estimate title, Champions League, Europa League and relegation probabilities per team.