HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Tarvet●●●
Tour Elo 1782 vs 1373 is a large gap, and the model puts Tarvet at 91% vs 9%, reinforcing his clear edge in this soft ITF market.
Serve/return▸ Tarvet●●
Tarvet wins 68% of service points and 37% on return, a strong two-way profile; no comparable numbers exist for Gusic Wan to offset it.
Form▸ Tarvet●●
Gusic Wan is 1-9 in his last 10 (LLLLLLLWLL) with a -2 streak, showing sustained poor form heading into this match.
Rest▸ Tarvet●
Gusic Wan hasn't played in 22 days with 0 matches in the last 14, risking match rust layered on top of his losing streak.
LEVEL GAP
The Elo gap of 1782 to 1373 is substantial and drives most of the model's confidence, translating into a 91% to 9% probability split for Tarvet. In a soft ITF market like this, Elo ratings are less reliable than on tour, but a gap this wide still signals a meaningful class difference between the two players.
FORM AND RUST
Gusic Wan's recent results are a clear red flag: 1 win in his last 10 matches with a current -2 streak. Combined with a 22-day layoff and zero matches in the past two weeks, he arrives with both poor form and no recent match rhythm, two factors that compound against him rather than offset each other.
SERVE STRENGTH
Tarvet's 68% service-points-won rate is a strong number in isolation, and his 37% return rate adds a two-way dimension to his game. Without any serve or return data for Gusic Wan, this factor can only be read as a positive marker for Tarvet rather than a direct comparison, but it is consistent with the overall favorite profile.
VALUE READ
At odds of 1.01, the market implies a 99% win probability for Tarvet, noticeably higher than the model's own 91% estimate. That gap produces a -7.8% expected value, meaning the price is already baking in more certainty than the data supports.
Being the heavy favorite here does not equate to a betting edge. The Elo method is a soft, Challenger/ITF-level tool with unproven live edge, and on this occasion the market is pricing Tarvet even more confidently than the model does — a case where the honest read is no value, not a value opportunity.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). Soft-market estimate: the value is unproven live. 18+ · gamble responsibly.