01 · 2 legs
Safe
- Double chance Reading or draw (X2)72%
- Under 3.5 goals73%
EFL League OneStadium MK, Milton Keynes11°0,4 mm23 km/h
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Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT contains an error: it claims expected goals conceded favors Milton Keynes Dons, but the facts show Reading has the better (lower) xGA, with the edge belonging to Reading.
Corrected text:
Reading's 42% chance of victory looms large over this League One clash, a figure that suggests an edge over Milton Keynes Dons. The visitors are backed by stronger metrics across the board: 11 points to the hosts' 6, and leading both in expected points (13.8 vs 10.5) and expected goals (2.0 vs 1.7) per match. The Royals' possession-control style seems well-positioned to exploit MK Dons' more direct, low-defense approach.
While the head-to-head sample is small and not particularly telling, the current form and underlying stats point to Reading as the more likely victor. A 1-1 draw is the most likely outcome at 13%, but the individual odds suggest a Reading win at 0-1 or 1-2 more effectively matches their profile. Reading also holds the edge in expected goals conceded (0.98 vs. Milton Keynes' 1.5), further tilting the scales in the visitors' favor.
For the value hunter, the away win at 2.55 with LeoVegas offers an enticing 8% edge, while the under 2.5 goals at 2.02 presents a modest 3% edge. Both options reflect the analytical leanings, with Reading likely to edge it in a controlled, low-scoring encounter.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Milton Keynes Dons | X | 2 · Reading |
|---|---|---|---|
| Betsafe | 2.45 | 3.40 | EV+ 11% 2.62 |
| LeoVegas | 2.45 | 3.40 | EV+ 8% 2.55 |
| Nordicbet | 2.45 | 3.40 | EV+ 11% 2.62 |
Odds updated 2 Oct, 07:36
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 | Milton Keynes Dons | Reading |
|---|---|---|
| Points | 6 | 11 |
| xPoints | 10.5 | 13.8 |
| xG per match | 1.7 | 2 |
| xGA per match | 1.5 | 0.98 |
| xG within 8s of winning the ball | 0.26 | 0.44 |
| xGA within 8s of losing the ball | 0.39 | 0.07 |
| Playing style | Milton Keynes Dons | Reading |
|---|---|---|
| Build-up efficiency | 0.33 | 0.31 |
| Field tilt | 0.37 | 0.47 |
| xT per match | 1.1 | 1.2 |
| xTA per match | 1 | 0.96 |
| Won balls, offensive half | 27 | 23 |
| Pressing intensity | 0.24 | 0.23 |
| Pressing efficiency | 0.3 | 0.31 |
| Pressing efficiency, offensive half | 0.29 | 0.27 |
| Entries into the box per match | 12 | 13 |
| Entries into the box against | 15 | 12 |
| Pass completion % | 0.66 | 0.71 |
| Pass completion % under pressure | 0.61 | 0.62 |
| Passes per match | 240 | 296 |
| Passes against per match | 345 | 324 |
| Switches of play per match | 23.9 | 19.2 |
| Long balls per match | 39 | 29 |
| Set pieces | Milton Keynes Dons | Reading |
|---|---|---|
| xG from free kicks | 0.11 | 0.04 |
| Corners per match | 5.5 | 5.3 |
| Corners against per match | 6.6 | 3.9 |
| xG per corner | 0.06 | 0.07 |
| xGA per corner against | 0.03 | 0.02 |
| First touch, offensive corners % | 0.42 | 0.32 |
| First touch, defensive corners % | 0.47 | 0.81 |
| Other | Milton Keynes Dons | Reading |
|---|---|---|
| Throw-in control | 0.69 | 0.72 |
| The goalkeepers | Craig Macgillivray (Milton Keynes Dons) | Joel Pereira (Reading) |
|---|---|---|
| Saves | 21 | 15 |
| Save % | 70% | 63% |
| xG prevented | 62% | 50% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Reading a 42% win probability. Full 1X2 picture: Milton Keynes Dons 30%, draw 28%, Reading 42%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 49% and under at 51%.
The probability of both teams scoring is 53% 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.

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