Match Info

Date: 27 October 2020, Tuesday 🏁 Finished


	Jeffrey John Wolf		Martin Klizan

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Jeffrey John Wolf
65.3%

Martin Klizan
34.7%

Initial Probability (when we started the analysis)

60.5%

39.5%

Our Initial ML Estimation

63.1%

36.9%

Analysis of Changes in Winning Probabilities:

Jeffrey John Wolf has improved its chances compared to the initial analysis. (+4.8%)

Martin Klizan has seen a decrease in its chances compared to the initial analysis. (-4.8%)

ML Model estimates a lower probability for Jeffrey John Wolf than the current prediction. (-2.2%)

ML Model estimates a higher probability for Martin Klizan than the current prediction. (+2.2%)

Expected Score (Market Odds): 2:0

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In the last matches we may see a scene of defeats of two players.

Wolf could have problems with physics compare with it opponent - last days they played more matches than their opponents.

Klizan will have a poor advantage in this game.

Recently, the players did not play each other.

✺ - easy match; ✺ - difficult match;

- Jeffrey John Wolf
ATP Cologne 2
17.10.20	Jeffrey John Wolf - Alexei Popyrin	1:2 ✺
ATP St Petersburg
13.10.20	Jeffrey John Wolf - Milos Raonic	0:2 ✺
11.10.20	Jeffrey John Wolf - Alen Avidzba	2:1 ✺
10.10.20	Jeffrey John Wolf - Alexey Vatutin	2:1 ✺
ATP Roland Garros
21.09.20	Jeffrey John Wolf - Roberto Marcora	0:2 ✺
Form Coefficient (based on results and difficulties of last matches) - 2.4 LLWWL
- Martin Klizan
ATP Challenger
25.10.20	Martin Klizan - Ilya Ivashka	0:2 ✺
24.10.20	Martin Klizan - Borna Gojo	2:0 ✺
23.10.20	Mackenzie McDonald - Martin Klizan	1:2 ✺
22.10.20	Martin Klizan - Roberto Marcora	2:0 ✺
20.10.20	Illya Marchenko - Martin Klizan	0:2 ✺
Form Coefficient (based on results and difficulties of last matches) - 14.3 LWWWW

✺ - easy match; ✺ - difficult match;

- Jeffrey John Wolf
ATP Challenger
30.10.26	Dylan Dietrich - Jeffrey John Wolf	✺

Jeffrey John Wolf - Martin Klizan