01 · 2 legs
Safe
- Bristol Rovers to win57%
- Over 1.5 goals78%
EFL League TwoPriestfield Stadium, Gillingham15°3,6 mm18 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
TEXT: Gillingham's struggle to keep goals out might be their undoing against a Bristol Rovers side that's riding a wave of form. With the visitors boasting four consecutive wins and scoring in 14 straight league matches, the Gills face an uphill battle. The expected goals tell a compelling story: while the hosts manage a modest 1.05 per game, Rovers nearly double that with 1.81. The contrast is stark and suggests that Gillingham's defense will be under siege from the first whistle.
The visitors' confidence will be further bolstered by the model probabilities, which give them a 57% chance of victory. The most likely scorelines of 1-1, 0-1, and 1-2 reflect a tendency towards a close contest, yet all indicators lean towards Bristol Rovers edging it. Gillingham's high xGA of 1.5 per match contrasts unfavorably with the visitors' robust defensive numbers, and when coupled with Rovers' attacking prowess, it paints a picture of a likely away win.
While the head-to-head record shows one win apiece since 2023, the small sample size means it shouldn't weigh too heavily. Instead, the focus should be on current form and stats, where Bristol Rovers clearly have the upper hand. Both sides play a direct style, but the visitors execute theirs with far greater efficiency, as shown by their superior xG per match and defensive solidity.
Bristol Rovers appear to hold the statistical edge across the board, from points and xPoints to expected goals for and against, and the model's lean toward the visitors reflects that. With the over 2.5 goals market leaning slightly over at 54%, expect a possible high-scoring evening, with Bristol Rovers well placed to continue their winning streak.
01 · 2 legs
02 · 3 legs
03 · 4 legs
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Head-to-head based on League Two data since 2023.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Gillingham | Bristol Rovers |
|---|---|---|
| Points | 6 | 12 |
| xPoints | 6.3 | 10.8 |
| xG per match | 1 | 2.4 |
| xGA per match | 1.5 | 0.92 |
| xG within 8s of winning the ball | 0.21 | 0.52 |
| xGA within 8s of losing the ball | 0.23 | 0.12 |
| Playing style | Gillingham | Bristol Rovers |
|---|---|---|
| Build-up efficiency | 0.33 | 0.34 |
| Field tilt | 0.38 | 0.58 |
| xT per match | 0.8 | 1.4 |
| xTA per match | 0.71 | 0.76 |
| Won balls, offensive half | 27 | 35 |
| Pressing intensity | 0.24 | 0.22 |
| Pressing efficiency | 0.3 | 0.31 |
| Pressing efficiency, offensive half | 0.3 | 0.29 |
| Entries into the box per match | 9 | 21 |
| Entries into the box against | 13 | 12 |
| Pass completion % | 0.65 | 0.62 |
| Pass completion % under pressure | 0.61 | 0.65 |
| Passes per match | 241 | 224 |
| Passes against per match | 341 | 314 |
| Switches of play per match | 15.1 | 19.5 |
| Long balls per match | 32 | 46 |
| Set pieces | Gillingham | Bristol Rovers |
|---|---|---|
| xG from free kicks | 0.1 | 0.12 |
| Corners per match | 4 | 6.8 |
| Corners against per match | 7.4 | 3.2 |
| xG per corner | 0.01 | 0.01 |
| xGA per corner against | 0.02 | 0.04 |
| First touch, offensive corners % | 0.4 | 0.32 |
| First touch, defensive corners % | 0.61 | 0.69 |
| Other | Gillingham | Bristol Rovers |
|---|---|---|
| Throw-in control | 0.67 | 0.77 |
| The goalkeepers | Oliver Lennon George Wright (Gillingham) | Riley Harbottle (Bristol Rovers) |
|---|---|---|
| Saves | 11 | 6 |
| Save % | 79% | 100% |
| xG prevented | 81% | 100% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Bristol Rovers a 57% win probability. Full 1X2 picture: Gillingham 19%, draw 25%, Bristol Rovers 57%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 54% and under at 46%.
The probability of both teams scoring is 55% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.