01 · 2 legs
Safe
- Barnet to win52%
- Over 1.5 goals84%
EFL League TwoThe Hive, London16°1,8 mm15 km/h
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Marcus Johansson · · Analysis from the match model · How the predictions work
Barnet enters the clash against York City buoyed by an impressive 16-match unbeaten streak in the league. This dominance is further underscored by their consistent scoring, netting in each of their last 17 league outings. Despite these powerful numbers, the head-to-head sample is too small to sway predictions heavily, so current form and expected goals carry more weight in this analysis.
The hosts have a slight advantage with a 52% win probability and are expected to create nearly two goals, highlighting their potent counter-attacking and crossing game. However, York City's possession-oriented style may limit Barnet's chances to exploit defensive lapses. The visitors themselves can't be overlooked, with a respectable 25% chance of victory and a superior xG per match at 2.0, which indicates their offensive potential.
In terms of expected goals against, Barnet holds the upper hand, conceding fewer xGA per match (1.0) compared to York City's 1.3. This suggests a tighter defensive setup for the home side, which could be crucial in stifling York's attacking play. Points and xPoints both edge in Barnet's favor, yet the expected goals statistics imply an intriguing balance that could tilt either way.
The model suggests a high-scoring encounter with a likelihood of over 2.5 goals at 64% and both teams finding the back of the net at 63%. While it's not a certainty, the over 2.5 goals market presents a compelling angle at odds of 1.75 with Bet365. Given the attacking strengths and vulnerabilities on display, a 2-1 victory for Barnet seems the most plausible outcome.
01 · 2 legs
02 · 3 legs
03 · 4 legs
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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 | Barnet | York City |
|---|---|---|
| Points | 12 | 11 |
| xPoints | 10.1 | 8.3 |
| xG per match | 1.7 | 2 |
| xGA per match | 1 | 1.3 |
| xG within 8s of winning the ball | 0.56 | 0.21 |
| xGA within 8s of losing the ball | 0.27 | 0.21 |
| Playing style | Barnet | York City |
|---|---|---|
| Build-up efficiency | 0.35 | 0.36 |
| Field tilt | 0.67 | 0.65 |
| xT per match | 0.96 | 1.4 |
| xTA per match | 0.78 | 0.74 |
| Won balls, offensive half | 39 | 21 |
| Pressing intensity | 0.23 | 0.22 |
| Pressing efficiency | 0.48 | 0.35 |
| Pressing efficiency, offensive half | 0.52 | 0.37 |
| Entries into the box per match | 16 | 15 |
| Entries into the box against | 10 | 11 |
| Pass completion % | 0.56 | 0.79 |
| Pass completion % under pressure | 0.56 | 0.74 |
| Passes per match | 211 | 477 |
| Passes against per match | 192 | 229 |
| Switches of play per match | 12.2 | 29.1 |
| Long balls per match | 22 | 35 |
| Set pieces | Barnet | York City |
|---|---|---|
| xG from free kicks | 0.09 | 0.03 |
| Corners per match | 7 | 7.1 |
| Corners against per match | 4.2 | 4.4 |
| xG per corner | 0.01 | 0.04 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.45 | 0.33 |
| First touch, defensive corners % | 0.44 | 0.5 |
| Other | Barnet | York City |
|---|---|---|
| Throw-in control | 0.75 | 0.81 |
| The goalkeepers | Matthew Aidan Cox (Barnet) | Alfie Shane McNally (York City) |
|---|---|---|
| Saves | 16 | 19 |
| Save % | 62% | 66% |
| xG prevented | 35% | 51% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Barnet a 52% win probability. Full 1X2 picture: Barnet 52%, draw 23%, York City 25%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 64% and under at 36%.
The probability of both teams scoring is 63% 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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Hämta bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.