Assists — the players who create most often
Assists is one of the two biggest player markets in the Bundesliga bet builder, and one of the least predictable. SharpXI shows how often each player has actually registered an assist — the raw record, not a projection.
How these numbers are built
The same two counted numbers as goals. The per-90 rate is assists divided by minutes played, times ninety, across the season, with a 450-minute minimum. The 1+ hit rate is the share of appearances containing at least one assist. Both come straight from the match data, with no shrinkage, no opponent adjustment and no minutes projection applied on top.
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How to read them
An assist depends on a teammate finishing the chance, so the record is noisier than goals and a single season is a short sample. Creators in strong attacking sides sit near the top of both columns, but the hit rate rarely climbs far even for the best of them. Treat the ranking as a starting point for a closer look, not a conclusion.
Bundesliga — how this market behaves
Over 308 Bundesliga matches in 25/26, a player recorded 1+ assists in 6.8% of the 9,617 appearances counted here. SharpXI publishes no model verdict on assists in any league — this page is the record only.
Hit rate only. SharpXI does not publish a model verdict on assists. There is no modelled probability and no price comparison on this market — the table below is a record of what has already happened. The markets SharpXI does model, and its record on each, are on the Bundesliga markets page and the track record.
Bundesliga leaders this season
In the 25/26 Bundesliga season, Michael Olise (FC Bayern München) recorded 1+ assists in 44% of appearances, ahead of Julian Ryerson (39%) and Luis Díaz (34%). Hit rates are over completed matches, minimum 450 minutes played.
Per-90 rates across the league (25/26 season, minimum 450 minutes) — the players whose underlying numbers drive this market.
| Player | Team | Per 90 | 1+ hit |
|---|---|---|---|
| Michael Olise | FC Bayern München | 0.74 | 44% |
| Julian Ryerson | Borussia Dortmund | 0.59 | 39% |
| Luis Díaz | FC Bayern München | 0.51 | 34% |
| Farès Chaïbi | Eintracht Frankfurt | 0.45 | 29% |
| Albert Grønbæk | Hamburger SV | 0.36 | 29% |
| Konrad Laimer | FC Bayern München | 0.41 | 28% |
| Christian Eriksen | VfL Wolfsburg | 0.31 | 27% |
| Jamal Musiala | FC Bayern München | 0.53 | 27% |
| Bazoumana Touré | TSG Hoffenheim | 0.35 | 27% |
| Jamie Leweling | VfB Stuttgart | 0.34 | 25% |
| Aleix García | Bayer 04 Leverkusen | 0.27 | 24% |
| Joshua Kimmich | FC Bayern München | 0.32 | 24% |
Frequently asked
Does SharpXI publish a value verdict on assists?
No. Assists and goals are shown as a hit-rate record only — there is no modelled probability and no price comparison on either market. The markets SharpXI does model, and its record on them, are listed on the Bundesliga markets page and the track record.
Why is the assist hit rate so much lower than the goals hit rate?
Because an assist needs a teammate to convert the chance. A creator can play a chance-making pass every week and register nothing, which is why assists is treated as a record to read rather than a market to price.
SharpXI is a statistical tool, not a betting operator, and no model guarantees a result. The honest scoreboard is closing-line value over a large sample. 18+ — please gamble responsibly.