# Rosenborg vs Lillestrøm > Eliteserien · Kickoff Sun 10 May 2026, 12:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/749) **Status:** Finished **Final score:** Rosenborg 2–0 Lillestrøm ## Model verdict - **Rosenborg win:** 8% - **Draw:** 86% - **Lillestrøm win:** 6% - **Source:** model ## Pre-match deep dive ### Model Favour Draw; Goals Market Offers Strongest Edges ## The stage This is an Eliteserien fixture kicking off on Sun 10 May 2026 at 12:30 UTC, a midday tie with league points and rhythm on the line[^fact-1]. The scheduling and venue specifics sit behind a straightforward fact: market and model attention will centre on probabilistic edges rather than a heavyweight upset narrative[^fact-1][^fact-2]. ## Form & momentum Recent trends point to a clear contrast. Rosenborg arrive with a 10-game sequence reading LDDWL, translating to 3 wins, 2 draws and 5 defeats in that span and 1.10 points per game; they average 1.00 goals scored and 1.20 conceded per match in the sample[^fact-4]. Lillestrøm’s last 10 read WLWDW — 5 wins, 1 draw and 4 defeats — worth 1.60 points per game; their attacking output sits at 1.70 goals per match against 1.50 conceded[^fact-5]. On pure Elo terms, the model still gives Rosenborg the applied home-edge advantage but places them only +82 Elo points ahead after home adjustment[^fact-3]. If momentum is distilled to numbers, Lillestrøm carry the hotter recent record and higher attacking mean, while Rosenborg’s home-adjusted Elo still grants them a modest edge in stature[^fact-5][^fact-4][^fact-3]. The model’s match verdict, however, leans overwhelmingly toward a deadlocked outcome: Home 8% / Draw 86% / Away 6% — a draw-dominant forecast with high model confidence (78 percentage-point gap to the runner-up scenario)[^fact-2]. ## Personnel Spotlight performers are clear and confined to the supplied data. For Rosenborg, Iver Fossum has contributed 1 goal and 1 assist across his last four appearances, carrying an average match rating of 7.16 in that period[^fact-9]. For Lillestrøm, Markus Karlsbakk has been the more prolific recent finisher with 4 goals in his last five appearances and an average rating of 7.48[^fact-10]. Availability questions are simple: Rosenborg will be without Ole Selnæs due to injury, a player who logged 602 minutes in the recent run before his absence[^fact-11]. Lillestrøm are missing Eric Kitolano through injury, who accumulated 475 minutes in the recent sequence prior to his unavailability[^fact-12]. Those minute totals frame the scale of the losses rather than the tactical replacements, because only minutes and absence are in the dataset[^fact-11][^fact-12]. ## Where the model sees value The model has been pitted against three market lines and surfaces sizeable edges in the goals market and an interesting divergence on a Home match-winner price. Top comparative points: - Over 2.5 goals: the model assigns 55% probability versus a market-implied price at Paddy Power that equates to 67.00; the computed edge is 53.1 percentage points and flagged with high confidence[^fact-6]. - Under 2.5 goals: the model gives 45% probability against the market price shown at Paddy Power of 4.80, creating an edge of 24.6 percentage points, also with high confidence[^fact-7]. - Home match-winner: the model probabilities imply 57% for the home side against a Betfair Exchange price of 3.00, an edge of 23.5 percentage points and high confidence[^fact-8]. These comparisons come from three market lines analysed against the model framework, not a broader sweep of every market on offer[^fact-13]. The largest numerical discordance is in the Over 2.5 goals line where the model’s implied probability and the market’s quote diverge most sharply in absolute percentage points[^fact-6]. ## Verdict The model’s central lean is overwhelmingly for a draw — 86% probability — despite a modest home-adjusted Elo advantage for Rosenborg and clearer recent momentum for Lillestrøm[^fact-2][^fact-3][^fact-5]. Personnel notes: Fossum and Karlsbakk are the recent form players to watch and each side will miss a significant-minute contributor in Selnæs and Kitolano respectively[^fact-9][^fact-10][^fact-11][^fact-12]. The clearest market inefficiency versus model outputs sits in the goals market and then the home match-winner line, where the model reports large edges after comparing three specific markets[^fact-6][^fact-7][^fact-8][^fact-13]. ### Cited facts [^fact-1]: **Kickoff** — Sun 10 May 2026, 12:30 UTC — Eliteserien [^fact-2]: **Model verdict** — Home 8% / Draw 86% / Away 6% (source: model; confidence high, 78 pp gap to runner-up). [^fact-3]: **Elo edge** — Rosenborg vs Lillestrøm — Elo differential +82 points (with home advantage applied). [^fact-4]: **Rosenborg recent form** — LDDWL last 10: 3-2-5 (W-D-L), 1.10 PPG, 1.00 goals scored / 1.20 conceded per match. [^fact-5]: **Lillestrøm recent form** — WLWDW last 10: 5-1-4 (W-D-L), 1.60 PPG, 1.70 goals scored / 1.50 conceded per match. [^fact-6]: **Value pick #1** — Over in Goals O/U 2.5 — model 55% vs market price 67.00 at Paddy Power, edge 53.1 pp (high confidence). [^fact-7]: **Value pick #2** — Under in Goals O/U 2.5 — model 45% vs market price 4.80 at Paddy Power, edge 24.6 pp (high confidence). [^fact-8]: **Value pick #3** — Home in Match Winner — model 57% vs market price 3.00 at Betfair Exchange, edge 23.5 pp (high confidence). [^fact-9]: **Rosenborg in-form player** — Iver Fossum — 1 goals, 1 assists in last 4 appearances, avg rating 7.16. [^fact-10]: **Lillestrøm in-form player** — Markus Karlsbakk — 4 goals, 0 assists in last 5 appearances, avg rating 7.48. [^fact-11]: **Rosenborg key absence** — Ole Selnæs out (injury), 602 minutes in recent run. [^fact-12]: **Lillestrøm key absence** — Eric Kitolano out (injury), 475 minutes in recent run. [^fact-13]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .