Predicciones de Tenis Hoy — Picks IA ATP, WTA · domingo, 26 de julio de 2026

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Best predictions today

Los Cabos01:00
Magadán, Alan — Johns, Garrett
Magadán, Alan to win1.34
High confidence79%
Los Cabos02:10
Kwon, Soon Woo — Rubio Fierros, Alan Fernando
Kwon, Soon Woo to win1.18
High confidence90%
Los Cabos03:20
Gojo B. — Mayo A.
Gojo B. to win1.16
High confidence91%

Other predictions

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Los Cabos01:00
TTobon M. — Tomic, Bernard
Tomic, Bernard to win1.58
Medium confidence67%
Los Cabos01:00
VValdes L. — Winter E.
Valdes L. to win1.61
Medium confidence66%
Los Cabos02:10
Boyer, Tristan — Claverie L.
Boyer, Tristan to win1.51
Medium confidence70%
Los Cabos02:10
Mejia, Nicolás — Hernández A.
Mejia, Nicolás to win1.83
Low confidence58%
Los Cabos03:20
PPascual Ferra R. — Smith C.
Pascual Ferra R. to win1.68
Medium confidence63%
WTA 125K Vancouver, Canada Women Singles05:00
Brengle, Madison — Vagramov A.
Brengle, Madison to win1.26
High confidence84%
WTA 125K Vancouver, Canada Women Singles05:00
KKinoshita H. — Okamura, Kyoka
Kinoshita H. to win1.58
Medium confidence67%
WTA 125K Vancouver, Canada Women Singles05:00
Cabrera, Lizette — Costoulas S.
Cabrera, Lizette to win1.89
Low confidence56%
WTA 125K Vancouver, Canada Women Singles05:00
Dart, Harriet — Cross K.
Cross K. to win1.58
Medium confidence67%
WTA 125K Vancouver, Canada Women Singles05:00
Arseneault A. — Xu, Annabelle
Arseneault A. to win1.71
Medium confidence62%
WTA 125K Vancouver, Canada Women Singles05:00
Day, Kayla — Hontama, Mai
Day, Kayla to win1.56
Medium confidence68%
WTA 125K Vancouver, Canada Women Singles05:00
CChavez T. — Hibino, Nao
Hibino, Nao to win1.18
High confidence90%
WTA 125K Vancouver, Canada Women Singles05:00
Lu, Jia-Jing — Dolehide, Caroline
Lu, Jia-Jing to win1.80
Low confidence59%
WTA 125K Vancouver, Canada Women Singles05:00
Minnen, Greetje — Inglis, Maddison
Minnen, Greetje to win1.25
High confidence85%
WTA 125K Vancouver, Canada Women Singles05:00
Kaji, Haruka — Preston T.
Kaji, Haruka to win1.74
Medium confidence61%
WTA 125K Vancouver, Canada Women Singles05:00
Liang, En Shuo — Sawangkaew, Mananchaya
Liang, En Shuo to win2.04
Low confidence52%
WTA 125K Vancouver, Canada Women Singles05:00
JJones E. — Zhao, Carol
Jones E. to win1.20
High confidence88%
San Marino, San Marino Men Singles08:00
BBondioli F. — Vrbensky, Michael
Bondioli F. to win1.18
High confidence90%

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Tenis

Today's tennis predictions from the CheckLive AI engine — ATP, WTA, ITF Challenger, and Grand Slam matches when in progress. Updated hourly as draws confirm and matches progress.

Tennis differs from team sports — it's one player against one player, no rotation, no substitutions. CheckLive's four-pillar framework adapts: CheckForm (recent set wins, last 10 matches W/L, court-surface-specific form), CheckSkill (current ATP/WTA ranking, ELO rating, head-to-head record), CheckMental (court surface preference vs opponent's preference, recent withdrawal/injury status, schedule fatigue from back-to-back tournaments), and a Composite weighted the standard 45% / 35% / 20%.

The AI selects the most reliable market: match-winner moneyline for clear favourites, set total (over/under 21.5 or 22.5) for predictable styles, set-handicap for favourites against weaker opponents.

A note on tennis vs football validation: our 50.35% accuracy backtest is football-specific. The architecture is identical, but the strict accuracy figure has not been validated on a tennis backtest yet.

How CheckLive Analyses Tennis

CheckForm: last 10 match record, recent set differential, court-surface-specific form (a player can be ranked top-20 overall but mid-tier on clay), recent tournament results.
CheckSkill: current ATP/WTA ranking, ELO rating (which accounts for opponent quality), head-to-head record vs the specific opponent, career titles, Grand Slam performance baseline.
CheckMental: court surface preference (clay vs hard vs grass vs indoor), match-to-match scheduling (a player coming off a long Grand Slam may carry fatigue into a follow-up tournament), recent withdrawal or injury status, time zone of recent tournaments.

The Composite produces win probability for each player. The match profile determines the market:

Heavy favourite (top-20 vs unranked, ELO gap > 200) → match-winner moneyline.
Predictable styles (both players play defensive baseline) → set total under 21.5.
Volatile matchup (serve-and-volley vs returner) → set total over 22.5.
Favourite vs weaker opponent → set handicap −1.5 or −2.5.

Tennis is harder for a model than team sport because individual player form is more volatile, injury news propagates slowly, and surface effects are large. We publish tennis predictions on the same engine because the architecture is sound, but the strict accuracy figure is football-specific until we publish a tennis backtest.