· Eliteserien
Bodo Glimt
ATT
9/10
DEF
8/10
vs
Valerenga IF
4/10
ATT
4/10
DEF
Planlandı· Sat 24 Oct · 14:00
En iyi tahmin
Ev sahibi kazanır
80%
Doğru skor
Mükemmel
2-0
11.6%
11.00
Mükemmel
3-0
10.8%
9.50
2-1
8.5%
12.00
1-0
8.4%
19.00
3-1
7.9%
11.00
4-0
7.5%
11.00
1-1
6.1%
19.00
4-1
5.5%
12.00
180%
1.14TOP
X13%
8.00
27%
12.00
1X93%
X220%
1287%

Kombine

3 seçim

Bodø/Glimt’s 3.52 xG and explosive +80% attack point to sustained pressure against Valerenga’s defence, which is 29% weaker than average. The league leaders should turn that gulf into a win and a high-scoring game; Andreas Helmersen is a compelling anytime scorer in a match that appears likely to clear 3.5 goals.

1Match WinnerBodø/Glimt
2GoalscorersAnytime
3Match GoalsOver 3.5
Confirmed XI4-4-2
12
Haikin
20
Sjøvold
2
Nielsen
4
Bjortuft
25
Määttä
8
Auklend
7
Berg
14
Saltnes
22
Mvuka
21
Helmersen
17
Brynhildsen
Impact Player Hot Head
Bodo Glimt27 oyuncu
56.7/ 99Güçlü
En İyiler
1Andreas HelmersenFWD97
2Mikkel Bro HansenFWD87
3Mathias JørgensenFWD81
Valerenga IF30 oyuncu
50.8/ 99Orta
En İyiler
1Ambina Fidèle BriceMID84
2Filip ThorvaldsenFWD71
3Promise Ikojo MeligaFWD70
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Andreas HelmersenBodo Glimt
99
2
Mathias JørgensenBodo Glimt
99
3
Mikkel Bro HansenBodo Glimt
99
4
Promise Ikojo MeligaValerenga IF
99
5
Ola BrynhildsenBodo Glimt
87
Duvar
En iyi savunmacılar
1
Aaron Kiil OlsenValerenga IF
74
2
Ivan NäsbergValerenga IF
73
3
Kevin TshiembeValerenga IF
70
4
Sebastian JarlValerenga IF
70
5
Villads NielsenBodo Glimt
63
Kontrol
En iyi oyun kurucular
1
Ambina Fidèle BriceValerenga IF
86
2
Patrick BergBodo Glimt
81
3
Henrik BjørdalValerenga IF
75
4
Carl LangeValerenga IF
62
5
Joshua KitolanoBodo Glimt
60
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Kolbeinn FinnssonValerenga IF
1
2
Gabriel RajkovicValerenga IF
1
3
Promise Ikojo MeligaValerenga IF
1
4
Aaron Kiil OlsenValerenga IF
3
5
Jens Petter HaugeBodo Glimt
7
Güç sıralaması
Genel olarak en güçlüler
1
Andreas HelmersenBodo Glimt
97
2
Mikkel Bro HansenBodo Glimt
87
3
Ambina Fidèle BriceValerenga IF
84
4
Mathias JørgensenBodo Glimt
81
5
Ola BrynhildsenBodo Glimt
77

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Bodo Glimt vs Valerenga IF based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Bodo Glimt vs Valerenga IF match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Bodo Glimt has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Bodo Glimt vs Valerenga IF without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Bodo Glimt a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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