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Bundesliga 25/26

VfL Wolfsburg v SV Werder Bremen

How the SharpXI model rated this Bundesliga fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.

VfL Wolfsburg0 – 1 SV Werder Bremen 21 Mar 2026
12/14
of the model's most-confident calls landed. Every one was published before kick-off and priced the same way as every other fixture. A single game is noise, not a verdict — the season-long record is on the track record.

Before VfL Wolfsburg lost to SV Werder Bremen 0–1, the SharpXI model made 14 confident calls on the player markets and 12 landed — the strongest being Mohamed Amoura for 1+ shots total (93%, had 2). Its clearest miss: Patrick Wimmer for 1+ tackles (86%, had 0). Every probability here was published before kick-off, priced the same way as every other fixture — one game is noise, not a verdict.

Match officials
Benjamin Brand refereed this match 4.36cards a gameleague 4.07 55games
Benjamin Brand's card record
See the full player stats boardBoth likely XIs side by side — hit rates over your chosen window, add to your slip ›

Player markets — the model's calls

Each probability is the model's own number for the headline (1+) line, before any bookmaker margin. The result column is what the player actually recorded.

PlayerMarketLineModel ActualResult
Justin Njinmah shots total 1+ 93% 2 ✓
Mohamed Amoura shots total 1+ 93% 2 ✓
Jonas Wind shots total 1+ 88% 1 ✓
Patrick Wimmer tackles 1+ 86% 0 ✗
Jesper Lindstrøm tackles 1+ 86% 1 ✓
Cameron Puertas tackles 1+ 86% 1 ✓
Saël Kumbedi tackles 1+ 86% 1 ✓
Vinícius Souza tackles 1+ 86% 3 ✓
Marco Grüll shots total 1+ 84% 1 ✓
Samuel Mbangula shots total 1+ 84% 0 ✗
Romano Schmid shots total 1+ 83% 1 ✓
Leonardo Bittencourt tackles 1+ 83% 2 ✓
Olivier Deman tackles 1+ 83% 2 ✓
Vinícius Souza fouls committed 1+ 80% 1 ✓

How these are modelled: Shots total Tackles Fouls committed

Team & match markets

MarketLineModel ActualResult
BTTS Yes 62% No ✗
Match goals O2.5 59% 1 goals ✗
Match cards O4.5 50% 3 cards ✗

How these are modelled: BTTS Match cards

Dig deeper

Past meetings

Frequently asked

How did the SharpXI model do on VfL Wolfsburg v SV Werder Bremen?

12 of its 14 most-confident calls landed. The board on this page lists every one with the model's pre-kickoff probability next to what actually happened, hits and misses in the same table.

What did the model get wrong on VfL Wolfsburg v SV Werder Bremen?

The most confident call it got wrong was Patrick Wimmer at 86% for tackles — shown in the same table as the hits, marked with a cross. A record that hides its misses isn't a record, so we don't.

Are these probabilities hindsight?

No. Each one is the number the model produced from data available before kick-off, using the same settings as every other fixture on the site — nothing was refitted after the result. That is the only way a per-match report means anything.

Does one match tell you if the model is any good in the Bundesliga?

No, and we'd rather say so. A single fixture is a handful of calls and mostly noise; the season-long, market-by-market record — including the markets that fail to beat a naive guess — is on the track record page.

SharpXI models probabilities from public match data; it does not take bets or guarantee outcomes. Prices are entered per leg in the tool. 18+ — please gamble responsibly.