lucky shit
Brief statistics for
 Last year
155
Winnings
15
Returns
169
Losses
-56%
Profit
-5.9%
ROI
-29296.3
Won
Tips
Statistics
All
Football
Hockey
Tennis
Football
6 months ago
Fulham
Burnley
2 000.021+3 170.03
W1
1.585
Model parameters: λ_Fulham (at home) = 1.88... Show more
Tennis
6 months ago
Diallo G.
Wu Y.
1 000+1 770
H1 (+1.5)
1.77
Gabriel Diallo vs Yibing Wu (or a similar match involving an American) Sharp bet: Diallo +1.5 games @1.80–1.90 or Wu ML if the odds are ~2.00+... Show more
Hockey
6 months ago
Toronto Maple Leafs
Carolina Hurricanes
2 000-2 000
H2 (-1)
1.94
Carolina Hurricanes vs Toronto Maple Leafs (~02:00 EET) Sharp bet: Carolina -1.5 puck line @ +120 / +125 or Total Over 6.5 @ +105–110... Show more
Football
6 months ago
AC Milan
Torino
1 000+2 460
Both Teams To Score + TO (2.5)
2.46
The strongest value in this match is the Both Teams to Score (BTTS) — Yes market with a +23% edge. The second strongest is IT2 (0.5) Over (+33%), but it is riskier due to the possible early substitution of Torino's key forwards (Simone, Vlašić). ... Show more
Football
6 months ago
Lens
Angers
1 000+2 000
IT1O (2.5)
2
Lens Team Total (IT1O 2.5): With \lambda = 2.72, the probability that Lens will score 3 or more goals is 52.1%. The bookmaker offers 2.03. This is a clear +EV.
Football
6 months ago
Vejle
Odense
1 000-1 000
TO (2.5)
1.71
Vejle vs Odense (TO 2.5 in 9/11 H2H; TO 2.5 in 6/7 Odense)λ: 1.75/1.35 = 3.1. Top scores: 2-1 (12.5%), 1-1 (11.2%), 2-2 (10.0%), 3-1 (9.5%). Conclusion: Matches — TO 2.5 high value (P=59%).
Football
6 months ago
Cagliari
Napoli
1 000+1 825
W2
1.825
Expected goals (λ): 0.95 + 1.55 = 2.5. Top score probabilities: 0-1 (13%), 1-1 (11%), 0-2 (11%), 1-2 (10%). Undervalued: 0-2 (market ~8.0, fair ~9.1; +EV), 1-2 (~10.0, fair ~10.0).
Football
6 months ago
Preston
Stoke
1 000-1 000
TU (2.5)
1.77
Preston — Stoke (Championship, ~20:45 EET) Line: W1 ~2.55, X ~3.25, W2 ~2.70; TO 2.5 ~2.00, TU 2.5 ~1.80; BTTS No ~1.90 �. Expected goals (λ): 1.15 + 1.05 = 2.2 �. Top score probabilities: 1-1 (13%), 1-0 (12%), 0-1 (11%), 2-1 (9%) �. Undervalued: 1-1 (market ~6.5, fair ~7.7; +EV), 0-1 (~9.0, fair ~9... Show more
Football
6 months ago
Villarreal
Real Sociedad
5 000+9 135
TO (2.5)
1.827
Villarreal — Real Sociedad Model: λ_Villarreal ≈ 1.68 / λ_Sociedad ≈ 1.08 (Total ~2.76, BTTS Yes ~52–54%).... Show more
Football
6 months ago
Bournemouth
Manchester Utd
2 000+3 558
1X
1.779
AFC Bournemouth — Manchester United Model: λ_Bournemouth ≈ 1.48 / λ_ManUtd ≈ 1.32 (total ~2.80, BTTS Yes ~55%).... Show more
Football
6 months ago
Betis
Panathinaikos
1 000-1 000
At Least One Team Will Not Score + TU (3.5)
2
Most likely outcomes according to the model: 2:0 (14%), 1:0 (12%), 2:1 (10%), 3:0 (9.5%)
Football
6 months ago
Konyaspor
Genclerbirligi
1 000+1 480
IT2U (1)
1.48
Genclerbirligi failed to score in the last 4 matches (Turkey 1).
Football
6 months ago
Cerezo Osaka
Okayama
1 000-1 000
1X + TU (3.5)
1.7
The market and several models lean toward a 1:1 draw and Both Teams to Score as the base scenario. Given that Okayama consistently scores one goal, while Cerezo Osaka get a slight boost at home, the base correct score is 1:1.... Show more
Football
6 months ago
Nagoya Grampus
Sanfrecce Hiroshima
1 000+2 150
Both Teams To Score + TO (2.5)
2.15
Given the current form (Nagoya 0–3, 5–1, 1–1, 1–3, 0–0; Hiroshima 2–0, 1–0, 1–3, 1–2, 2–1), and the slight advantage for the visitors in the odds (around 2.10–2.20 for a Hiroshima win versus 3.1–3.2 for Nagoya), the most logical “center” of the distribution looks like a 1:2 score in Hiroshima’s favo... Show more
Football
6 months ago
Verdy
Kawasaki Frontale
1 000-1 000
Both Teams To Score + TO (2.5)
2.3
Both teams more often score and concede, and neither is particularly reliable defensively: more than half of each team’s matches have featured 1.5+ goals conceded. This fits well with the idea of BTTS + Total Over 2.5. ... Show more
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