Tromsø vs Lillestrøm: match statistics

The favorite is Tromsø: they have a 100% home winning rate (4 wins, 0 draws, 0 losses), scoring on average 2.67 goals at home and conceding 0.0 goals per match, with a home goal difference of +8. Lillestrøm also performs well away (3-0-0), averaging 2.0 goals scored on the road and conceding 0.5 goals per match, but in the last 5 matches the visitors conceded 6 goals versus 3 conceded by Tromsø, and in those five fixtures Tromsø scored 11 goals compared to Lillestrøm’s 9. Tromsø generates higher quality chances: average home xG 2.01 versus 1.77 for Lillestrøm, with xG against for the hosts 0.71 versus 1.57 for the visitors; the hosts also register more shots on target (6.67 vs 5.5) and have better finishing efficiency (16% vs 12%). Both teams have 4 wins in their last 5 matches and average 2.4 points over that period, so points form is balanced, but Tromsø’s defense gives them the edge (100% clean sheets at home vs 50% for Lillestrøm) and a superior home goal differential. Based on this I predict a home win (1): I estimate roughly a 60% probability for Tromsø, 20% for a draw and 20% for a Lillestrøm win.

Tromsø has recorded BTTS in 100% of their matches this season and averages 3.0 goals scored per game with 1.0 conceded, strongly favoring a both teams to score scenario. Lillestrøm has a seasonal clean sheet rate of 50% and concedes only 0.5 goals per game on the season, but in the last 5 matches they have conceded 6 goals (1.2 per game), indicating a short-term defensive dip. Note, however, that BTTS in the last 5 matches for both teams is 40%, which reduces the weight of Tromsø’s long-term rate. xG analysis shows 1.48 xG for Tromsø and 1.77 xG for Lillestrøm, with xG against of 1.39 and 1.57 respectively, meaning both teams create scoring opportunities and Lillestrøm has realistic chances to score (1.77 xG). Additionally, Tromsø has higher shot conversion at 25% versus Lillestrøm’s 12%, and shots 12 vs 16.5 and shots on target 5.0 vs 5.5 indicate both sides generate chances; Tromsø’s matches this season have been over 2.5 goals in 100% of games, further increasing BTTS probability. Considering Tromsø’s 100% seasonal BTTS, Lillestrøm’s defensive weakening in the last 5 (1.2 conceded) and the xG and efficiency metrics, I rate BTTS - Yes at 70% and No at 30%.

Tromsø scores on average 3.0 goals at home and concedes 1.0, while Lillestrøm away scores 2.0 and concedes 0.5 — a simple sum of seasonal averages gives 5.0 goals, although xG provides more reliable projections. After adjusting xG against opponents’ defenses, expected goals are Tromsø ≈ (1.48+1.57)/2 = 1.53 and Lillestrøm ≈ (1.77+1.39)/2 = 1.58, total ≈ 3.11 goals. Tromsø at home has 100% of matches Over 2.5 (seasonOver25Percentage_home=100%) and a high conversion rate of 25% with an average of 12 shots (12×0.25≈3.0), while Lillestrøm averages 16.5 shots with a 12% conversion (≈2.0 goals) — this strengthens the signal for Over 1.5 and Over 2.5. At the same time Lillestrøm has 50% away clean sheets and 50% away BTTS (seasonCSPercentage_away=50%, seasonBTTSPercentage_away=50%), and the combined xG=3.11 is below 3.5, which limits confidence in Over 3.5. As a result the strongest signal is Over 1.5 (recommended), Over 2.5 has solid backing (~75%), while Over 3.5 remains risky (~35%).

Tromsø exhibits a clear advantage in the first half: they have led at the break in 100% of home matches (leadingAtHTPercentage_home = 100.0), score an average of 2.0 goals before halftime and do not concede in that phase (scoredAVGHT_home = 2.0, concededAVGHT_home = 0.0), hence a strong signal for the home side to lead at Half-Time. Over the full match the hosts average 3.0 goals at home and concede 1.0 (seasonScoredAVG_home = 3.0, seasonConcededAVG_home = 1.0), and a high shot conversion rate of 25% versus Lillestrøm’s 12% (shot_conversion_rate_home = 25.0, shot_conversion_rate_away = 12.0) increases their chances of maintaining the lead. Lillestrøm, however, have a higher xG (1.77 vs 1.48; xg_for_avg_away = 1.77, xg_for_avg_home = 1.48) and are dangerous after the break—2.0 goals in minutes 46–60 and an average of 1.5 goals in the second half (goals_scored_min_46_to_60_away = 2.0, scored_2hg_avg_away = 1.5)—so I assign moderate weight to 1/X and 1/2 turnaround scenarios. Taking these numbers into account, the most reliable signal is 1/1 (48%), with 18% on 1/X as insurance against a possible Lillestrøm comeback and smaller probabilities allocated to the remaining outcomes.