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Bundesliga · Matchday 7

2026-27 · 23 Oct 2026 – 24 Oct 2026 ← matchday 6

Round on radar: all leagues, before and after

Results 7 played · 2 postponed

Every match of the round with the final score. Matches not yet played are shown as postponed.

The round in numbers

The round's figures against the season average before it: goals per match, how often both teams scored, how often there were at least 3 goals, and how results split between home wins, draws and away wins.

18goals2.57 per match · season before this round: 3.69
42.9%both teams scoredseason before this round: 59.3%
42.9%3+ goalsseason before this round: 74.1%
3 / 2 / 2home / draw / away

Table moves

How the table changed: each team's position before and after the round. At the top, the biggest climbs and drops.

Teambefore → afterpts
SC Paderborn 0716 → 12+48
RB Leipzig7 → 5+212
SV Werder Bremen8 → 6+212
1. FSV Mainz 055 → 7-210
SV 07 Elversberg6 → 8-210
Eintracht Frankfurt11 → 13-28

Elo moves

The Elo rating before and after the round. It rises when a team gets more from a match than expected and falls when it gets less; beating a strong opponent moves it more than beating a weak one.

Teambefore → afterΔ
Borussia Mönchengladbach1437 → 1445+7.7
SV Werder Bremen1466 → 1473+6.4
RB Leipzig1589 → 1595+6.0
VfB Stuttgart1594 → 1586-7.7
1. FSV Mainz 051516 → 1510-6.4
SV 07 Elversberg1508 → 1502-6.0

Streaks ended and new records

Streaks of at least 5 matches that ended in this round, and streaks that became a new own record (the longest in our database for that team).

Team
1. FC Kölnconceding20ended
FC Augsburg3+ goals9ended
Borussia Mönchengladbachwinless6ended
SC Paderborn 07conceding5ended
SV Werder Bremenconceding14new own record old record: 13
SV Werder Bremenboth teams score7new own record old record: 6

What the model said 1 of 4 hit · Brier 0.7718

Only estimates frozen within the last hour before each match; nothing recomputed afterwards. “Hit” = the most probable result was the real one. The round's Brier score: 0 = perfect, 0.6667 = random guessing. “Surprise” = how unlikely the real result was for the model (higher = more surprising).

result1 / X / 2model's picksurprise
Stuttgart – M'gladbach2–364% / 20% / 17%1 · miss1.77
Mainz – Bremen2–353% / 24% / 23%1 · miss1.46
Augsburg – Union Berlin1–149% / 26% / 25%1 · miss1.34
Dortmund – Frankfurt1–065% / 19% / 16%1 · hit0.43

How the chances moved

The difference between the simulator's chances before the round and after it: who gained and who lost the most for 1st place, the top 4 and the bottom 3.

1st place

Teambefore → afterΔ
Borussia Dortmund2% → 3%+1 pp
1. FC Köln0% → 0%0 pp
TSG 1899 Hoffenheim0% → 0%0 pp
FC Bayern München98% → 97%-1 pp
Bayer 04 Leverkusen1% → 1%-0 pp
RB Leipzig0% → 0%-0 pp

top 4

Teambefore → afterΔ
Borussia Dortmund91% → 94%+3 pp
SC Freiburg17% → 19%+3 pp
SV 07 Elversberg34% → 36%+3 pp
VfB Stuttgart23% → 14%-9 pp
1. FSV Mainz 058% → 5%-3 pp
Eintracht Frankfurt4% → 4%-0 pp

bottom 3

Teambefore → afterΔ
Hamburger SV35% → 47%+12 pp
FC Schalke 0413% → 18%+5 pp
1. FC Köln41% → 46%+4 pp
Borussia Mönchengladbach74% → 59%-15 pp
SV Werder Bremen19% → 11%-8 pp
SC Paderborn 0725% → 18%-7 pp

run before: 23 Oct 2026 06:05 · run after: 24 Oct 2026 20:17

Updated 25 Oct 2026 05:37