01 · 2 legs
Safe
- Olympic to win46%
- Over 1.5 goals88%
Swedish Ettan14°0,3 mm21 km/h
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Kristianstad FCCounter-attacks & crossesvs
OlympicPossession & high pressThe model's lean: 2 · Olympic (46%)
Kristianstad FC – Olympic · Swedish Ettan
1 · Kristianstad FC 30%X 24%46% Olympic · 2
30%
24%
46%
Analysis: Kristianstad FC – Olympic
Marcus Johansson · · Analysis from the match model · How the predictions work
BK Olympic's recent head-to-head win against Kristianstad is a lone data point, offering little guidance on its own. More pertinent is Olympic's superior form this season, amassing 26 points compared to Kristianstad's 20. The visitors' edge is reflected in expected metrics too, with xPoints narrowly favoring them, suggesting they might again find an advantage.
Kristianstad's approach relies on soaking up pressure and breaking with pace, emphasizing crosses. This could play into Olympic's hands, who exhibit a high pressing style aimed at dominating possession. If Olympic can effectively disrupt Kristianstad's rhythm, they are well positioned to capitalize on their superior expected goals output of 1.99 against Kristianstad's 1.61.
While the likelihood of a 1-1 or 1-2 scoreline is the same at 9%, the attacking intent from both sides suggests goals. The model signals a 70% chance for over 2.5 goals and 69% for both teams to score, highlighting an open contest. Kristianstad's more frugal defense, allowing an xGA of 1.3 per match to Olympic's 1.6, might temper this somewhat, but not enough to shift the expectation drastically.
When it comes to value, Unibet's odds of 2.05 for Olympic to win imply a break-even probability of about 49%, slightly higher than the model's 46% win probability for the visitors. This suggests the market is not offering value on Olympic despite the model's lean toward them, whose tactical setup and season form still point to them as the likely victors in what seems poised to be a high-scoring affair.
Kristianstad FCForm WLLWL
League ranking xG #31xGA #11xT #27xP/match #20Points #26
Key players
- Omar DamphaFxG 0.29 · xT 0.04
- Paolo LiljaFxG 0.27 · xT 0.08
- Elias-Ramin KarimiRWxG 0.17 · xT 0.22
OlympicForm LDLLW
League ranking xG #7xGA #25xT #9xP/match #16Points #16
Key players
- Albin SundgrenLWxG 0.07 · xT 0.31
- Chibueze Blessing EjimoleFxG 0.49 · xT 0.12
- Osama KhattabLWxG 0.43 · xT 0.27
Match prediction: Kristianstad FC – Olympic
Predicted score matrix
Olympic →
Kristianstad FC →
0
1
2
3
4+
0
0–03.0%
0–15.2%
0–25.4%
0–33.6%
0–4+2.8%
1
1–04.2%
1–19.0%
1–28.7%
1–35.8%
1–4+4.5%
2
2–03.5%
2–17.0%
2–27.0%
2–34.6%
2–4+3.6%
3
3–01.9%
3–13.8%
3–23.7%
3–32.5%
3–4+2.0%
4+
4+–01.1%
4+–12.2%
4+–22.2%
4+–31.4%
4+–4+1.1%
Most likely scorelines
- 1.1-19%
- 2.1-29%
- 3.2-17%
- 4.2-27%
- 5.1-36%
Expected goals
1,61–1,99
Both teams to score
69%
Over/under goals
Expected goals: 3,60
19%
218%
321%
419%
5+29%
Under 2,530%
–
Over 2,570%
–
Ready-made bet suggestions
More combos & build your own →02 · 3 legs
Balanced
- Olympic to win46%
- Over 2.5 goals70%
- Mamudu Moro to score25%
03 · 4 legs
Bold
- Both teams to score69%
- Over 2.5 goals70%
- Paolo Lilja to score27%
- Albert Ejupi to be booked20%
Odds & value
No odds available yet.
Statistics
Head-to-head
1 matchesKristianstad FC 0Draw 0Olympic 1
Goals: 0–2 (⌀ 2)
Head-to-head based on Ettan data since 2023.
Solid line = created (xG), dashed = conceded (xGA).
Kristianstad FC
Olympic
Kristianstad FC (25–33)
Olympic (36–40)
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
Kristianstad FC
Olympic
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.
Kristianstad FC
Olympic
The teams in numbers
| Performance | Kristianstad FC | Olympic |
|---|---|---|
| Points | 20 | 26 |
| xPoints | 25.7 | 27.2 |
| xG per match | 1 | 1.6 |
| xGA per match | 1.3 | 1.6 |
| xG within 8s of winning the ball | 0.19 | 0.2 |
| xGA within 8s of losing the ball | 0.24 | 0.36 |
| Playing style | Kristianstad FC | Olympic |
|---|---|---|
| Build-up efficiency | 0.31 | 0.35 |
| Field tilt | 0.38 | 0.51 |
| xT per match | 1.3 | 1.5 |
| xTA per match | 1.7 | 1.4 |
| Won balls, offensive half | 30 | 23 |
| Pressing intensity | 0.53 | 0.46 |
| Pressing efficiency | 0.24 | 0.26 |
| Pressing efficiency, offensive half | 0.27 | 0.28 |
| Entries into the box per match | 11 | 15 |
| Entries into the box against | 16 | 15 |
| Pass completion % | 0.77 | 0.83 |
| Pass completion % under pressure | 0.72 | 0.77 |
| Passes per match | 330 | 406 |
| Passes against per match | 413 | 338 |
| Switches of play per match | 20.4 | 15.9 |
| Long balls per match | 39 | 31 |
| Set pieces | Kristianstad FC | Olympic |
|---|---|---|
| xG from free kicks | 0.16 | 0.17 |
| Corners per match | 4.5 | 5.2 |
| Corners against per match | 4.9 | 5.8 |
| xG per corner | 0.02 | 0.02 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.46 | 0.5 |
| First touch, defensive corners % | 0.63 | 0.62 |
| Other | Kristianstad FC | Olympic |
|---|---|---|
| Throw-in control | 0.54 | 0.65 |
| The goalkeepers | Otto Larsson Wågert (Kristianstad FC) | Joakim Persson (Olympic) |
|---|---|---|
| Saves | 66 | 56 |
| Save % | 67% | 58% |
| xG prevented | 44% | 40% |
| Claims | 144 (95%) | 93 (94%) |
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Frequently asked questions
Who wins Kristianstad FC vs Olympic according to our model?
The model gives Olympic a 46% win probability. Full 1X2 picture: Kristianstad FC 30%, draw 24%, Olympic 46%.
What is the most likely scoreline?
The model's most likely final score is 1-1 at 9% probability.
Over or under 2.5 goals?
The model rates over 2.5 goals at 70% and under at 30%.
Will both teams score?
The probability of both teams scoring is 69% according to the model.
Why are some legs locked in the bet builder?
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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Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.