# HamKam vs Vålerenga > Eliteserien · Kickoff Fri 8 May 2026, 17:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/650) **Status:** Finished **Final score:** HamKam 1–0 Vålerenga ## Model verdict - **HamKam win:** 10% - **Draw:** 33% - **Vålerenga win:** 57% - **Source:** model ## Pre-match deep dive ### Model backs Vålerenga despite HamKam’s Elo edge ## The stage Kickoff is scheduled for Fri 8 May 2026 at 17:00 UTC in Eliteserien[^fact-1]. The fixture sits in the domestic calendar as a single-match league test with the usual three-way result market to settle race points and momentum[^fact-1]. ## Form & momentum Recent results paint contrasting portraits. HamKam arrive with a DWWLL sequence over the last 10 matches, recorded as 5-1-4 (W-D-L), producing 1.60 points per game and scoring 2.00 while conceding 1.90 on average per match[^fact-4]. Vålerenga’s last 10 read DLLDL, a 2-3-5 line (W-D-L), generating 0.90 points per game with 1.10 goals scored and 2.00 conceded per match[^fact-5]. At face value, form metrics favour HamKam’s recent output, but the predictive model tilts sharply the other way: it gives HamKam a 10% chance, the draw 33%, and Vålerenga 57% — a clear model preference for the visitors with a 24 percentage-point gap to the runner-up and high confidence in that gap[^fact-2]. That divergence is noteworthy because an Elo calculation, with home advantage applied, actually gives HamKam a +110-point edge on Vålerenga[^fact-3]. The matchup therefore splits structural strength (Elo) and short-term model probability in opposing directions[^fact-3][^fact-2]. ## Personnel HamKam’s in-form attacking outlet is M. Alassane Niang, who has scored 4 goals with 0 assists across his last five appearances and carries an average rating of 7.33 in that span[^fact-6]. Vålerenga’s most productive recent figure is Lucas Haren, with 2 goals and 0 assists in his last five appearances and an average rating of 6.89[^fact-7]. Vålerenga will be missing Omar Bully Drammeh through injury, a named absence that the model accounts for in its probabilities[^fact-8]. No additional squad-specific numbers were supplied to quantify minutes lost or replacement options[^fact-8]. ## Where the model sees value The model’s top-level edges versus market pricing were assessed across three markets[^fact-9]. The headline is the model’s 57% backing for an away win against a home probability of 10% and a 33% draw expectation — a distribution that implies the model expects Vålerenga to win outright far more often than the market lines implied in the comparative analysis[^fact-2][^fact-9]. This allocation contrasts with an Elo narrative that grants HamKam a +110-point advantage when home advantage is applied, creating a classic source-of-difference: Elo’s structural rating lift versus the model’s integration of recent match data, player form and absences[^fact-3][^fact-2]. The available comparison set was limited to three market channels, so the edges are specific to those venues rather than a universal market sweep[^fact-9]. Because the supplied facts do not include the market odds themselves, the commentary must stop at directional edges: the model prefers Vålerenga substantially and flags the draw as the second-most likely outcome, while Elo and HamKam’s scoring rate in recent matches argue a non-negligible home threat[^fact-2][^fact-3][^fact-4]. ## Verdict The model leans to Vålerenga — 57% — despite HamKam’s recent scoring profile and an Elo advantage of +110 when home advantage is applied[^fact-2][^fact-4][^fact-3]. Personnel notes point to Niang as HamKam’s chief attacking outlet and Haren as Vålerenga’s key recent contributor, with Omar Bully Drammeh absent for the visitors[^fact-6][^fact-7][^fact-8]. The clearest takeaway is the split signal: follow the model’s probability distribution where available, but acknowledge the structural case for HamKam embedded in the Elo differential and recent goal output[^fact-2][^fact-3][^fact-4]. ### Cited facts [^fact-1]: **Kickoff** — Fri 8 May 2026, 17:00 UTC — Eliteserien [^fact-2]: **Model verdict** — Home 10% / Draw 33% / Away 57% (source: model; confidence high, 24 pp gap to runner-up). [^fact-3]: **Elo edge** — HamKam vs Vålerenga — Elo differential +110 points (with home advantage applied). [^fact-4]: **HamKam recent form** — DWWLL last 10: 5-1-4 (W-D-L), 1.60 PPG, 2.00 goals scored / 1.90 conceded per match. [^fact-5]: **Vålerenga recent form** — DLLDL last 10: 2-3-5 (W-D-L), 0.90 PPG, 1.10 goals scored / 2.00 conceded per match. [^fact-6]: **HamKam in-form player** — M. Alassane Niang — 4 goals, 0 assists in last 5 appearances, avg rating 7.33. [^fact-7]: **Vålerenga in-form player** — Lucas Haren — 2 goals, 0 assists in last 5 appearances, avg rating 6.89. [^fact-8]: **Vålerenga key absence** — Omar Bully Drammeh out (injury). [^fact-9]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .