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Bundesliga · 25/26

1. FC Heidenheim v RB Leipzig

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.

1. FC Heidenheim0 – 3 RB Leipzig 24 Jan 2026
9/14
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 1. FC Heidenheim lost to RB Leipzig 0–3, the SharpXI model made 14 confident calls on the player markets and 9 landed — the strongest being Antonio Nusa for 1+ fouls drawn (84%, had 1). Its clearest miss: Marvin Pieringer for 1+ fouls committed (84%, 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
Tobias Stieler refereed this match 3.37cards/game 0.83×vs league 60games
Tobias Stieler'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
Antonio Nusa fouls drawn 1+ 84% 1
Marvin Pieringer fouls committed 1+ 84% 0
Stefan Schimmer shots total 1+ 82% 0
Antonio Nusa shots total 1+ 81% 4
Benedikt Gimber fouls committed 1+ 80% 1
Christoph Baumgartner shots total 1+ 79% 2
Yan Diomande shots total 1+ 78% 0
Rômulo shots total 1+ 78% 1
Christoph Baumgartner fouls committed 1+ 76% 3
Marvin Pieringer fouls drawn 1+ 73% 1
Marvin Pieringer shots total 1+ 72% 1
Benedikt Gimber fouls drawn 1+ 72% 1
Mathias Honsak shots total 1+ 72% 0
Stefan Schimmer fouls committed 1+ 71% 0

How these are modelled: Fouls drawn · Fouls committed · Shots total

Team & match markets

MarketLineModel ActualResult
Match goals O2.5 65% 3 goals
BTTS Yes 64% No
Match cards O4.5 24% 1 cards

How these are modelled: Match goals · Match cards

Dig deeper

Past meetings

Frequently asked

How did the SharpXI model do on 1. FC Heidenheim v RB Leipzig?

9 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 1. FC Heidenheim v RB Leipzig?

The most confident call it got wrong was Marvin Pieringer at 84% for fouls committed — 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.