01 · 2 legs
Safe
- Gillingham to win46%
- Under 3.5 goals75%
EFL League TwoPriestfield Stadium, Gillingham16°15 km/h
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Marcus Johansson · · Analysis from the match model · How the predictions work
For those seeking value, consider Bet365, offering odds on Gillingham to win at 2.20.
**Corrected text:**
Two wins for each side in their four encounters since 2023 suggest a fairly balanced head-to-head, though this small sample is less significant than their current forms. Gillingham enters the game riding a wave of momentum with three consecutive victories, while Newport County has been less convincing. This recent run gives the hosts a psychological upper hand, which could be pivotal in a closely contested fixture.
Gillingham's approach is built on counter-attacks and wide play, a style that naturally complements their current form. Newport, however, prefers to sit deep and play direct, which could pose challenges for Gillingham's strategy when trying to break through a low block. While both sides have an identical xG and xGA per match of 1.1 and 1.4 respectively, the hosts' recent knack for finding the net could tilt the balance in their favor.
The model leans towards a Gillingham win, setting the odds for a home victory at 46%. It also highlights a 12% likelihood for both a 1-0 and 1-1 scoreline, pointing to a potentially tight affair. Despite an over 2.5 goals probability of 46%, the expected goals suggest a lower-scoring encounter, with Gillingham favored to edge it 1-0 or 2-0.
Given the home side's current winning streak and their tactical fit against Newport's style, Gillingham's attacking verve should carry them through, making them the more likely victors in this clash. While Newport may find it tough to break through, the underlying numbers suggest this could still be a tightly fought contest.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Newport County |
|---|---|---|
| Points | 9 | 5 |
| xPoints | 8 | 8.6 |
| xG per match | 1.1 | 1.1 |
| xGA per match | 1.4 | 1.4 |
| xG within 8s of winning the ball | 0.2 | 0.1 |
| xGA within 8s of losing the ball | 0.23 | 0.26 |
| Playing style | Gillingham | Newport County |
|---|---|---|
| Build-up efficiency | 0.34 | 0.33 |
| Field tilt | 0.41 | 0.33 |
| xT per match | 0.81 | 0.85 |
| xTA per match | 0.68 | 0.97 |
| Won balls, offensive half | 26 | 31 |
| Pressing intensity | 0.24 | 0.23 |
| Pressing efficiency | 0.31 | 0.32 |
| Pressing efficiency, offensive half | 0.31 | 0.31 |
| Entries into the box per match | 9 | 11 |
| Entries into the box against | 14 | 15 |
| Pass completion % | 0.64 | 0.52 |
| Pass completion % under pressure | 0.57 | 0.52 |
| Passes per match | 239 | 151 |
| Passes against per match | 332 | 313 |
| Switches of play per match | 16.4 | 14.7 |
| Long balls per match | 33 | 29 |
| Set pieces | Gillingham | Newport County |
|---|---|---|
| xG from free kicks | 0.09 | 0.15 |
| Corners per match | 4.2 | 3.9 |
| Corners against per match | 7 | 6.4 |
| xG per corner | 0.02 | 0.04 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.48 | 0.39 |
| First touch, defensive corners % | 0.59 | 0.68 |
| Other | Gillingham | Newport County |
|---|---|---|
| Throw-in control | 0.68 | 0.78 |
| The goalkeepers | Oliver Lennon George Wright (Gillingham) | Jordan Wright (Newport County) |
|---|---|---|
| Saves | 16 | 20 |
| Save % | 84% | 67% |
| xG prevented | 87% | 38% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Gillingham a 46% win probability. Full 1X2 picture: Gillingham 46%, draw 30%, Newport County 24%.
The model's most likely final score is 1-0 at 12% probability.
The model rates over 2.5 goals at 46% and under at 54%.
The probability of both teams scoring is 49% 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.