Prediction: HB Koge (W) vs ASA Aarhus (W)
Team pages: HB Koge (W) · ASA Aarhus (W)
| HB Koge (W) | Draw | ASA Aarhus (W) | |
|---|---|---|---|
| Our model | 75% | 17% | 8% |
| Market | 76% | 14% | 9% |
The bar above blends our model with the market: where our probability diverges most from the odds is where the model sees the widest gap.
Match keys
- High corners: 13.2 combined avg.
Statistics · 10/10 matches analysed
F = for · A = against · HT = half-time · FT = full-time
| HB Koge (W) | ASA Aarhus (W) | |
|---|---|---|
| Goals for / against (FT) | 2.2 / 0.5 | 2.3 / 1.1 |
| Goals for / against (HT) | 1.4 / 0.1 | 1.3 / 0.5 |
| Half-time result (W/D/L) | 67/22/11% | 50/33/17% |
| Corners (HT / FT) | 4 / 7.2 | 3 / 6 |
| Cards (🟨 / 🟥) | 1.4 / 0.1 | 2 / 0 |
Standings · Danish Womens Elitedivisionen
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| # | Team | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Fortuna Hjørring (W) | 1 | 1 | 0 | 0 | 6 | 2 | 3 |
| 2 | HB Koge (W) | 1 | 1 | 0 | 0 | 3 | 0 | 3 |
| 3 | ASA Aarhus (W) | 1 | 1 | 0 | 0 | 3 | 1 | 3 |
| 4 | Odense BK (W) | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
| 5 | Brondby (W) | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
| 5 | Midtjylland (W) | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
| 7 | FC Nordsjaelland (W) | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
| 8 | AGF (W) | 1 | 0 | 0 | 1 | 1 | 3 | 0 |
| 9 | FC Copenhagen (W) | 1 | 0 | 0 | 1 | 0 | 3 | 0 |
| 10 | Kolding IF (W) | 1 | 0 | 0 | 1 | 2 | 6 | 0 |
Common opponents 2 opponents
How each team fared against the same recent opponents
| Opponent | HB Koge (W) | ASA Aarhus (W) |
|---|---|---|
| FC Copenhagen (W) | 3-0 W | 2-3 L |
| AGF (W) | 3-0 W | 3-1 W |
| Record vs common | 2 W 0 D 0 L | 1 W 0 D 1 L |
Better against common opponents: HB Koge (W) (2 of 2 head-to-heads won)
Last 10 matches played
The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.
HB Koge (W)
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| Date | Opponent | HT | FT | Cor. | Cards | Res. |
|---|---|---|---|---|---|---|
| 28/07 | FC Copenhagen (W) Danish Womens Elitedivisionen |
2-0 | 3-0 | 7 | 1 | W |
| 14/07 | FC Copenhagen (W) Women’s Friendly |
– | 3-1 | – | – | W |
| 13/06 | Kolding IF (W) Danish Womens Elitedivisionen |
3-0 | 3-1 | 9 | 3 | W |
| 31/05 | AGF (W) Danish Womens Elitedivisionen |
3-0 | 3-0 | 8 | 0 | W |
| 23/05 | Fortuna Hjørring (W) Danish Womens Elitedivisionen |
0-0 | 1-0 | 10 | 3 | W |
| 16/05 | FC Nordsjaelland (W) Denmark Cup Women |
2-0 | 4-1 | 0 | 0 | W |
| 09/05 | Brondby (W) Danish Womens Elitedivisionen |
0-1 | 0-1 | 13 | 2 | L |
| 03/05 | FC Nordsjaelland (W) Danish Womens Elitedivisionen |
0-0 | 1-1 | 5 | 4 | D |
| 24/04 | Kolding IF (W) Danish Womens Elitedivisionen |
2-0 | 2-0 | 3 | 0 | W |
| 05/04 | AGF (W) Danish Womens Elitedivisionen |
1-0 | 2-0 | 10 | 1 | W |
ASA Aarhus (W)
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| Date | Opponent | HT | FT | Cor. | Cards | Res. |
|---|---|---|---|---|---|---|
| 25/07 | AGF (W) Danish Womens Elitedivisionen |
2-1 | 3-1 | 6 | 2 | W |
| 13/06 | FC Thy-Thisted Q (W) Denmark Play-Offs Women |
2-0 | 2-1 | – | – | W |
| 30/05 | Osterbro IF (W) Denmark Play-Offs Women |
4-1 | 5-1 | – | – | W |
| 23/05 | Odense BK (W) Denmark Play-Offs Women |
0-1 | 2-2 | – | – | D |
| 09/05 | FC Copenhagen (W) Denmark Play-Offs Women |
– | 2-3 | – | – | L |
| 02/05 | Midtjylland (W) Denmark Play-Offs Women |
– | 1-1 | – | – | D |
| 25/04 | FC Thy-Thisted Q (W) Denmark Play-Offs Women |
0-0 | 0-0 | – | – | D |
| 06/04 | Osterbro IF (W) Denmark Play-Offs Women |
– | 4-1 | – | – | W |
| 28/03 | Odense BK (W) Denmark Play-Offs Women |
– | 3-1 | – | – | W |
| 21/03 | FC Copenhagen (W) Denmark Play-Offs Women |
0-0 | 1-0 | – | – | W |
Frequently asked questions
Who is the favourite in HB Koge (W) vs ASA Aarhus (W)?
According to our model, the most likely result is a HB Koge (W) win (76%). Probabilities: HB Koge (W) 76%, draw 16%, ASA Aarhus (W) 9%.
How many goals are expected in HB Koge (W) vs ASA Aarhus (W)?
The model expects 3.13 goals (HB Koge (W) 2.43 · ASA Aarhus (W) 0.7), with a 59% chance of under 3.75 goals.
Will both teams score in HB Koge (W) vs ASA Aarhus (W)?
The model gives a 50% chance that both teams score.
What is the most likely score?
The most likely score according to our model is 2-0.

