Who is the favourite in Johns G vs Legout T?

By the PropickAI model, Johns G is favoured — about 69% win probability.

What does PropickAI predict for Johns G vs Legout T?

The consensus of 7 AI models and the Glicko-2 rating leans to Johns G. Full probabilities and bookmaker odds are shown on this page.

AI verdict

AI pick Legout T win probability ~69% confidence High best odds 10.00

Model consensus and the Glicko-2 rating lean to Legout T. Full breakdown below.

Picks locked before kickoff results verified after public accuracy log →

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ATP Challenger. Kingston. Qualification International

17.08.2026 16:30 UTC Match prediction

Johns G - Legout T

✓ Prematch ready Prematch data ✓Line ✓Form –H2H ✓Prediction

Tennis ATP Challenger. Kingston. Qualification

ATP Challenger. Kingston. Qualification grass 17.08.2026 16:30 UTC Finished

17.08.2026 16:30 UTC Finished

Johns G

Rank #390 Elo 130

51Average Form

W L W L L W W L

Legout T

Rank #535 Elo 79

68Average Form

L L W W L L W W

2:1 3:6 6:4 6:1

1 2 3 GP

Johns G 3 6 6 2

Legout T 6 4 1 1

1 2 3

Coverage: grass

Preview

Extended stats (scorego)

	Johns G	Legout T
Win %	62%	65.8%
Hard %	61.4%	66.3%
Clay %	63.4%	66%
Grass %	50%	0%
Deciding set %	66.2%	69%
Tie-breaks %	51.9%	45.7%
Titles (total)	8	3
Last 10	WLWLLWWLLW	WWWWWWLWWW

Source: scorego-app.com

About the athletes

- Country -

#390 Rating #535

25 Age 24

1.80m Height (cm) 1.78m

70kg Weight (kg) 73kg

Right Hand Right

- Seed -

grass Coverage grass

0 H2H 0

Serve and return stats

	Johns G	Legout T
Aces per match	2.97	1.09
Double faults per match	2.03	2.36
Breaks per match	4.99	8.5

Source:tennisstats.com (per-match averages)

TennisStats: rating, form and serve/return

Garrett Johns

Rank:390 Elo: 130

W L W L L W W L

Timo Legout

Rank:535 Elo: 79

L L W W L L W W

Elo favourite:Johns G (edge +51 Elo)

Hard

	Garrett Johns	Timo Legout
Win Percentage 2026 Calendar Year	44.4% 8 / 18 Matches	70.8% 17 / 24 Matches
Win Percentage Last 12 Months	44.7% 17 / 38 Matches	68.0% 17 / 25 Matches

Clay

	Garrett Johns	Timo Legout
Win Percentage 2026 Calendar Year	57.9% 11 / 19 Matches	N/A 0 / 0 Matches
Win Percentage Last 12 Months	55.0% 11 / 20 Matches	N/A 0 / 0 Matches

Grass

	Garrett Johns	Timo Legout
Win Percentage 2026 Calendar Year	50.0% 2 / 4 Matches	N/A 0 / 0 Matches
Win Percentage Last 12 Months	50.0% 2 / 4 Matches	N/A 0 / 0 Matches

Source:tennisstats.com

H2H series (tennisstats)

	Garrett Johns	Timo Legout
H2H wins	0 (0%)	0 (0%)
Sets	0 (0%)	0 (0%)
Wins this year	51.2% 21 / 41 Matches	68.0% 17 / 25 Matches
Wins in 12 mo.	48.4% 30 / 62 Matches	65.4% 17 / 26 Matches
Current rank	390	535

Source: tennisstats.com

Profile and percentages (tennisstats)

	Garrett Johns	Timo Legout
Prize money (career)	$45,725 USD	$62,094 USD
Rating	390	535
Age	25	24
Height	1.80m	1.78m
Weight	70kg	73kg
Playing hand	Right-handed	Right-handed

Win percentage (match / set)

	Garrett Johns	Timo Legout
Match Wins	51 %	68 %
Match Wins (3 Sets)	51 %	71 %
Wins in Straight Sets	34 %	60 %
Wins From Behind	13 %	11 %
Won At Least 1 Set	68 %	80 %
Set 1 Win	56 %	72 %
Set 2 Win	45 %	71 %
Set 3 Win	50 %	40 %

Source:tennisstats.com

Match stats (live, tennisstats)

	Garrett Johns	Timo Legout
Aces	2	0
Double Faults	0	3
1st serve percentage	61%	61%
1st serve points won	57% (23/40)	80% (20/25)
2nd serve points won	50% (13/26)	56% (9/16)
Break Points Saved	11/14	3/4
1st return points won	20% (5/25)	43% (17/40)
2nd return points won	44% (7/16)	50% (13/26)
Break Points Converted	1/4	2/14
Service Points Won	55% (36/66)	71% (29/41)
Return Points Won	29% (12/41)	45% (30/66)
Total Points Won	45% (48/107)	55% (59/107)
Last 10 balls	3	7
Match points saved	0	0
Service games won	71% (5/7)	86% (6/7)
Return games won	14% (1/7)	29% (2/7)
Total games won	43% (6/14)	57% (8/14)

Source:tennisstats.com

Betting benchmarks (tennisstats)

Outcome percentages for totals and props: values for each player and a match-total column.

Total games

	Garrett Johns	Timo Legout	Match total
Average Games in a Set	9.85	9.16	9.51
Over 6.5	95 %	100 %	98 %
Over 7.5	88 %	88 %	88 %
Over 8.5	73 %	50 %	62 %
Over 9.5	54 %	38 %	46 %
Over 10.5	27 %	17 %	22 %
Over 11.5	27 %	17 %	22 %

Aces

	Garrett Johns	Timo Legout	Match total
Aces Per Match	2.97	1.09	4.06
Most Aces in a match	33 %	9 %	N/A
1+	81 %	73 %	93 %
2+	69 %	27 %	88 %
3+	56 %	9 %	72 %
4+	31 %	0 %	54 %
5+	22 %	0 %	43 %

Breaks

	Garrett Johns	Timo Legout	Match total
Breaks Per Match	4.99	8.5	13.49
Over 0.5	100 %	100 %	100 %
Over 1.5	100 %	100 %	100 %
Over 2.5	100 %	100 %	100 %
Over 3.5	42 %	100 %	100 %
Over 4.5	42 %	100 %	99 %
Over 5.5	42 %	55 %	99 %

Tie-breaks

	Garrett Johns	Timo Legout	Match total
Tie Breaks Per Match	0.44	0.08	0.26
Over 0.5	37 %	8 %	22 %
Over 1.5	7 %	0 %	4 %
Under 0.5	63 %	92 %	22 %
Under 1.5	93 %	100 %	4 %

Double faults

	Garrett Johns	Timo Legout	Match total
Double Faults Per Match	2.03	2.36	4.39
Over 0.5 (1+)	83 %	91 %	97 %
Over 1.5 (2+)	44 %	73 %	95 %
Over 2.5 (3+)	33 %	36 %	86 %
Over 3.5 (4+)	19 %	27 %	70 %
Over 4.5 (5+)	17 %	9 %	61 %
Over 5.5 (6+)	6 %	0 %	53 %

Net points

	Garrett Johns	Timo Legout	Match total
Net Points Won Per Match	8.81	5.33	14.14
Over 4.5 (5+)	52 %	67 %	60 %
Over 5.5 (6+)	43 %	67 %	55 %
Over 6.5 (7+)	33 %	33 %	33 %
Over 7.5 (8+)	29 %	33 %	31 %
Over 8.5 (9+)	24 %	0 %	12 %
Over 9.5 (10+)	10 %	0 %	5 %

Source:tennisstats.com

Odds

P1 3.20 75.8% BetBoom

P2 10.00 24.2% BetBoom

Johns G take on Legout T on August 17, 2026 in the ATP Challenger. Kingston. Qualification, International.

Recent form (W-D-L): Johns G 2-0-3, Legout T 4-0-1. PropickAI's Glicko-2 model gives the home side 31% to win. Below: team form, head-to-head history, bookmaker odds and the full PropickAI AI breakdown.

🎯 PropickAI prediction

High confidence

Our model prediction (Glicko-2)

PropickAI model · comparison with the market line (no margin)

2 Legout T — 69%

1 · Johns G30.7%

market 30%

2 · Legout T ✓ Pick69.3%

market 70%

Model estimate: win Johns G 30.7%, win Legout T 69.3%. Model favourite — Legout T.

Informational estimate, not a betting recommendation.

How we calculated thisModel, consensus and market breakdown

AI agent prediction

Independent AI-agent assessment from our data (model, market line, form, H2H)

2Legout T (odds1.57) Score 1:2 confidence 59% ✗ outcome missed

• Dzhons G: forma PPPVV (2-3)
• Legu T: forma VVVVP (4-1)
• Model backs Legu T: probability 59% vs 64% on the line (odds 1.57)
• no edge over the line (-5 pp) — informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Johns G - Legout T August 17, 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Johns G.

Line favourite Fonbet: Johns G. We cross-check with Glicko and the math model below.

Win odds (Fonbet): 1 1.02 / 2 10.00
Glicko: Johns G 30.7% / Legout T 69.3%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.

Winner bookmaker margin 8.0% 4 books · best price +657.6%

1 29.9%

2 ✓ Pick 70.1%

Odds source: consensus of 4 books (Fonbet, Kambi BetMGM, Kambi Unibet, Leon). This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.

For reference

Line movement

How the odds changed from opening to the current line — for reference, not a betting recommendation.

Winner 1 2.25 ↓ 1.02

Winner 2 1.55 ↑ 10.00

↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.

Model consensus

AI outcome leader: 1

Main outcome

Agreement 1/1

Confidence 62.0%

Modeli dayut edinyy signal. Takie matchi my pomechaem kak bolee silnye.

Market consensus

Forecast by market

Match result

Johns G

29%

3.20

Legout T

71%

10.00

Consensus probability with the bookmaker margin removed; the number on the right is the best available odds. For reference only, not a bet.

AI overview

AI predictions

AI analysis:1/7 ready · Still preparing:DeepSeek, ChatGPT, Claude, Qwen, Kimi, GLM 5.2

Google AI updated17.08.2026 17:25 UTC

1 28%

2 72% ✓ favourite

Score0:2 Total games: Under 21.5 Bet:2

Per AI data H2H: 0-0

AI	1	2	Score	Total games	Bet
Google AI	28%	72%	0:2	Under 21.5

Match center

Start 17.08.2026 16:30 UTC

Market 1 90.7% @ 1.02 / 2 9.3% @ 10.00

Coverage grass

Form 6 matches

🥊 Humans vs Machines

🤖 7 AI models Legout T 72%

📐 Math model Legout T 69%

💹 Market Legout T 70%

Every pick locked before kickoff · public log

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Match center

Johns G - Legout T

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 5/5 recent games

Market 2 model / bookmakers

Post-match / PropickAI database

Score 2:1

Events 0

Statistics 20

Set Johns G Legout T Result

Set 1 3 6 3:6

Set 2 6 4 6:4

Set 3 6 1 6:1

Metric Johns G Legout T SStats

Breyk-poynty realizovany 1/4 2/14 final

Points na prieme 29% (12/41) 45% (30/66) final

Eysy 2 0 final

Breyk-poynty otygrany 11/14 3/4 final

Dvoynye oshibki 0 3 final

Pervaya podacha, % 61% 61% final

Points na pervoy podache 57% (23/40) 80% (20/25) final

Points na vtoroy podache 50% (13/26) 56% (9/16) final

PropickAI check: math model and Glicko-2

We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.

Option Signal Prediction / actual Rating

Glicko-2: base favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 69.3% fact: home missed / ROI -100.0% / Brier 0.960 / LogLoss 1.180

Glicko-2: calibrated favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 52.3% fact: home missed / ROI -100.0% / Brier 0.547 / LogLoss 0.740

Market and Glicko

Tennis math model. Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.

Outcome Line Glicko Signal

Johns G 29.9% 37.3% market and model agree

Legout T 70.1% 62.7% market and model agree

1X2: 4 Bookies

Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.

Model = Glicko + Elo strength prior (heuristic, historical calibration in progress). Glicko30.7% · +Elo prior (weight0.33).

Tennis math model

P1 / P2 30.7% / 69.3% probabilities

Rating 1,336 / 1,961 Johns G / Legout T

RD 169 / 151 rating uncertainty

r +/- 2RD 998-1,674 / 1,659-2,263 strength interval

Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.

Betting snapshot

1X2

2 10.00 Fonbet · weak value +592.7% · model 69.3%

1 1.02 Fonbet · no value · model 30.7%

Handicap

2 -0.5 2.75 Fonbet · line only

2 +0.5 1.50 Fonbet · line only

1 -0.5 1.40 Fonbet · line only

1 +0.5 2.40 Fonbet · line only

Total

Over 17.5 1.45 Fonbet · line only

Over 18.5 1.85 Fonbet · line only

Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.

Bookmaker line

Match markets

Open on Fonbet →

bookmaker line and markets

Handicap

Outcome	Fonbet
	2.40 41.7%
	1.95 51.3%
	1.80 55.6%
	1.45 69.0%
	1.40 71.4%
	1.35 74.1%
	1.02 98.0%
	1.27 78.7%
	1.50 66.7%
	1.75 57.1%
	1.90 52.6%
	2.50 40.0%
	2.85 35.1%
	2.55 39.2%
	2.75 36.4%
	2.95 33.9%
	8.00 12.5%
	3.30 30.3%

Handicap

Outcome	Fonbet
	1.19 84.0%
	10.00 10.0%
	1.02 98.0%
	3.90 25.6%

Total

Outcome	Fonbet
Over 17.5	1.45 69.0%
Over 18.5	1.85 54.1%
Over 19.5	1.80 55.6%
Over 20.5	2.15 46.5%
Over 21.5	2.30 43.5%
Over 22.5	1.95 51.3%
Over 23.5	1.80 55.6%
Over 24.5	1.70 58.8%
Over 25.5	1.70 58.8%
Over 26.5	3.30 30.3%
Over 27.5	8.00 12.5%
Over 28.5	2.95 33.9%
Over 29.5	3.10 32.3%
Under 17.5	2.60 38.5%
Under 18.5	1.85 54.1%
Under 19.5	1.90 52.6%
Under 20.5	1.63 61.4%
Under 21.5	1.55 64.5%

Total

Outcome	Fonbet
Over 2.5	1.19 84.0%
Under 2.5	3.90 25.6%

Match center

Johns G

W L W L L

2026-08-16 2026 Kingston, Jamaica, Qualifying

Johns G Johns G 2:0 Dalmasso G

2026-08-10 2026 Brownsburg, USA, Qualifying

Johns G Johns G 0:2 Rottgering M

2026-08-09 2026 Brownsburg, USA, Qualifying

Johns G Johns G 1:0 Chandrasekar A

2026-07-26 2026 Los Cabos, Mexico, Qualifying

Johns G Magadan A 2:1 Johns G

2026-07-21 2026 Winnipeg, Canada

Johns G Holmgren A 2:1 Johns G

2 Wins

3 Losses

1.0 Sets won

1.2 Sets lost

40% Win percentage

Legout T

W L W W W

2026-08-16 2026 Kingston, Jamaica, Qualifying

Mayo A 0:2 Legout T Legout T

2026-07-06 2026 Cary, USA

Legout T 1:2 Shick B Legout T

2026-07-05 2026 Cary, USA

Legout T 2:0 Winter E Legout T

2026-07-04 2026 Cary, USA

Legout T 2:0 Baris O Legout T

2026-07-02 2026 Cary, USA

Sakamoto R 0:2 Legout T Legout T

4 Wins

1 Losses

1.8 Sets won

0.4 Sets lost

80% Win percentage

Johns G - Legout T

Extended stats (scorego)

About the athletes

Serve and return stats

TennisStats: rating, form and serve/return

Hard

Clay

Grass

H2H series (tennisstats)

Profile and percentages (tennisstats)

Win percentage (match / set)

Match stats (live, tennisstats)

Betting benchmarks (tennisstats)

Total games

Aces

Breaks

Tie-breaks

Double faults

Net points

AI match prediction Johns G - Legout T August 17, 2026

Fair probability (no margin)

Line movement

AI outcome leader: 1

Forecast by market

AI predictions

Johns G - Legout T

Match markets

Handicap

Handicap

Total

Total

Recent form

Match facts

Frequently asked questions

Johns G - Legout T

Extended stats (scorego)

About the athletes

Serve and return stats

TennisStats: rating, form and serve/return

Hard

Clay

Grass

H2H series (tennisstats)

Profile and percentages (tennisstats)

Win percentage (match / set)

Match stats (live, tennisstats)

Betting benchmarks (tennisstats)

Total games

Aces

Breaks

Tie-breaks

Double faults

Net points

AI match prediction Johns G - Legout T August 17, 2026

Fair probability (no margin)

Line movement

AI outcome leader: 1

Forecast by market

AI predictions

Johns G - Legout T

Match markets

Handicap

Handicap

Total

Total

Recent form

Match facts

More predictions

Frequently asked questions