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Bundesliga · Matchday 6

2026-27 · 16 Oct 2026 – 18 Oct 2026 ← matchday 5 matchday 7 →

Round on radar: all leagues, before and after

Results 9 played

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.

27goals3.00 per match · season before this round: 3.82
55.6%both teams scoredseason before this round: 60.0%
55.6%3+ goalsseason before this round: 77.8%
5 / 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
1. FSV Mainz 058 → 5+310
SV 07 Elversberg9 → 6+310
Hamburger SV12 → 9+39
FC Augsburg6 → 10-48
SC Freiburg1 → 3-213
RB Leipzig5 → 7-29

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
Hamburger SV1470 → 1476+6.1
1. FSV Mainz 051511 → 1516+5.5
TSG 1899 Hoffenheim1508 → 1513+4.8
VfB Stuttgart1600 → 1594-6.1
FC Schalke 041497 → 1492-5.5
Borussia Mönchengladbach1442 → 1437-4.8

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
Hamburger SVconceding19ended
1. FC Kölnscoring15ended
1. FC Kölnboth teams score15ended
Eintracht Frankfurtconceding13ended
Eintracht Frankfurt3+ goals8ended
Borussia Dortmundscoring7ended
SC Freiburgunbeaten6ended
1. FC Kölnconceding20new own record old record: 19
SV Werder Bremenconceding13new own record old record: 12
SV Werder Bremenboth teams score6new own record old record: 5

What the model said 3 of 6 hit · Brier 0.5289

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
Union Berlin – Dortmund0–017% / 22% / 61%2 · miss1.50
HSV – Stuttgart1–023% / 23% / 54%2 · miss1.49
M'gladbach – Hoffenheim1–240% / 23% / 37%1 · miss1.00
Frankfurt – 1. FC Köln1–057% / 20% / 23%1 · hit0.56
Leverkusen – Freiburg2–160% / 21% / 20%1 · hit0.52
Bayern – RB Leipzig6–176% / 14% / 10%1 · hit0.28

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
FC Bayern München95% → 97%+2 pp
1. FC Köln0% → 0%0 pp
TSG 1899 Hoffenheim0% → 0%0 pp
Borussia Dortmund4% → 2%-2 pp
Bayer 04 Leverkusen1% → 1%-0 pp
RB Leipzig0% → 0%-0 pp

top 4

Teambefore → afterΔ
SV 07 Elversberg23% → 34%+11 pp
Bayer 04 Leverkusen75% → 83%+7 pp
1. FSV Mainz 055% → 8%+4 pp
VfB Stuttgart33% → 23%-10 pp
RB Leipzig42% → 36%-7 pp
FC Schalke 044% → 1%-3 pp

bottom 3

Teambefore → afterΔ
Borussia Mönchengladbach62% → 73%+10 pp
FC Schalke 045% → 14%+9 pp
1. FC Köln34% → 41%+7 pp
Hamburger SV54% → 37%-17 pp
TSG 1899 Hoffenheim24% → 15%-8 pp
Eintracht Frankfurt8% → 6%-2 pp

run before: 16 Oct 2026 06:05 · run after: 18 Oct 2026 18:17

Updated 25 Oct 2026 05:37