C. Norrie vs B. Tomic — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Strong heat: warm air speeds the ball up and physical wear tells in long matches.
Dry air: the ball travels normally.
Some wind: makes baseline control harder.
Surface feeds the model (surface specialization is one of its factors). Weather and altitude are context we publish for you — they do NOT move the probability.
›Ranking: #29 vs #181 (better ranked)
›Recent form: 4/10 in recent matches
›On a streak: 2 wins in a row
The core case for Norrie is straightforward: a 103-point Elo advantage (1921 vs 1818) and a 152-spot ranking gap (#29 vs #181) reflect a much higher overall level of competition faced and sustained. The 52% baseline figure for Norrie, with no comparable number for Tomic, further supports treating him as the stronger player on paper.
This gap is the main reason Norrie sits at 74% in the model, and it's not something Tomic's recent form fully offsets given the quality-of-competition disparity implied by the ranking difference.
Tomic's momentum is real: 9 wins in his last 10 matches with a current 8-match streak is a strong recency signal. But no quality wins are listed for him, while Norrie's win list includes victories over T. Machac (Elo 1979) and T. A. Tirante (Elo 1906) — opponents rated above Tomic's own Elo of 1818.
Norrie's 4/10 last-ten record includes a 5-match losing skid, a real risk flag, but his 2-match current winning streak suggests he has stabilized. The imbalance between Tomic's gaudy streak and thin resume versus Norrie's rockier but higher-quality form is a genuine push-pull in this matchup.
An interesting wrinkle: Tomic's own serve (67%) and return (38%) percentages are both higher than Norrie's (62%/37%). Combined with 33°C heat that speeds up the court and typically rewards the better server, these specific numbers lean toward Tomic having an edge in the underlying point-by-point mechanics, even though the overall level gap favors Norrie.
Schedule load cuts the other way: Tomic has played 6 matches in the last 14 days against Norrie's 1, despite both having just 2 days since their last outing. That workload difference raises fatigue risk for Tomic that the raw serve/return numbers don't capture.
The model gives Norrie 74%, close to the market's implied 75% at odds of 1.34, producing a small negative expected value of -1.4%. This is a case where the model and the market are essentially aligned — Norrie is a legitimate favorite, but there is no pricing edge here, and backing him at this price is not expected to be profitable over time.
Being the favorite is not the same as offering value: the data supports Norrie as the more probable winner, but the risks (recent 5-match skid, a long layoff flagged in the data) combined with Tomic's serve/return numbers and win streak mean this is closer to a fair line than a mispriced one.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). The model ≈ the market on average; the odds already capture almost all the edge. 18+ · gamble responsibly.