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MGMatej Grundel

Matej Grundel

FormLLWWW
2-match losing run
1598
Elo Rating
#90
Rank
51.9%
Win Rate

Matej Grundel is ranked #90 in Czech Liga Pro with an Elo of 1598 (peak 1645, lowest 1467). Across 360 tracked matches — a 51.9% win rate. On a 2-match losing run.

Elo Trend

Last 40 matches

Current 1598Peak 1645Lowest 1467Tracked 360
Cover splits

How often this player covered the closing line — overall, then split by favourite / underdog. Historical record against real bookmaker lines, not a tip. Green = reliable cover, amber = soft.

Set handicapoverall
50%96/191 covered
as favourite
36%38/105
as underdog
67%58/86
Points handicapoverall
50%15/30 covered
as favourite
61%11/18
as underdog
33%4/12
Total pointsover / under · 191
51%over49%under
Total setsover / under · 108
73%over27%under
Match shape · after 2 sets

How matches usually stand after two sets, and what he makes of it — from 357 completed matches. Descriptive, not a tip.

28% leads 2–049% level 1–122% trails 0–2
Holds 2–0
88%n=101
wins after leading 2–0
Wins the decider
48%n=176
wins after 1–1
Comeback 0–2
16%n=80
wins after trailing 0–2
Line history

Past matches vs the closing line — set & points handicap (covered = W/L), total points and total sets (O/U). Real lines, not tips.

MatchSet HCPts HCTotalSets
Jakub Pilch2-303 Nov 18:30-1.5 L+2.5 L77.5→99 O3.5 O
Jakub Pilch2-303 Nov 17:00+1.5 W-2.5 L75.5→103 O3.5 O
Radim Urbaniec3-103 Nov 16:30-1.5 W-6.5 W73.5→77 O3.5 O
Michal Vavrecka3-003 Nov 15:00-1.5 W-2.5 W75.5→60 U3.5 U
Matyas Navedla3-202 Nov 18:00-1.5 L+1.5 W74.5→95 O3.5 O
Radovan Polasek1-302 Nov 17:30+1.5 L+2.5 L72.5→74 O3.5 O
Radomir Revay2-302 Nov 16:30+1.5 W+4.5 L75.5→93 O3.5 O
Matyas Navedla3-102 Nov 15:30+0.5 W-1.5 W76.5→83 O3.5 O
Jakub Pilch1-328 Oct 18:00+1.5 L-2.5 L73.5→67 U3.5 O
Libor Prikasky1-328 Oct 17:00+1.5 L-2.5 L75.5→71 U3.5 O
Radovan Polasek2-328 Oct 16:00+1.5 W+2.5 W75.5→95 O3.5 O
Jakub Pilch3-128 Oct 15:30+1.5 W+2.5 W76.5→75 U3.5 O
Jakub Pilch3-227 Oct 18:00+1.5 W+2.5 W75.5→96 O3.5 O
Libor Prikasky1-327 Oct 17:00+1.5 L-1.5 L75.5→68 U3.5 O
Jakub Pilch0-327 Oct 16:00+1.5 L+2.5 L76.5→55 U3.5 U
Radovan Polasek3-227 Oct 15:30-1.5 L+3.5 W75.5→95 O3.5 O
Tadeas Zika1-324 Oct 17:30+1.5 L+4.5 L75.5→71 U3.5 O
Tadeas Zika0-324 Oct 16:00-1.5 L+4.5 L76.5→70 U3.5 U
Jakub Pilch3-024 Oct 15:00-1.5 W+2.5 W75.5→65 U3.5 U
Radovan Polasek3-124 Oct 14:30-1.5 W+4.5 W75.5→76 O3.5 O
Overall cover record
Set HC: 96/191 · 50%
Pts HC: 15/30 · 50%
Totals: 97 Over · 94 Under · 51% over
Total sets: 79 Over · 29 Under · 73% over

Prediction History

Past matches with the model's predicted win probability and the real result.

✕
vs Jakub Pilch
03 Nov · 18:30 UTC
48%Lost 2-3✕
vs Jakub Pilch
03 Nov · 17:00 UTC
49%Lost 2-3✓
vs Radim Urbaniec
03 Nov · 16:30 UTC
57%Won 3-1✓
vs Michal Vavrecka
03 Nov · 15:00 UTC
56%Won 3-0✓
vs Matyas Navedla
02 Nov · 18:00 UTC
51%Won 3-2✕
vs Radovan Polasek
02 Nov · 17:30 UTC
47%Lost 1-3✕
vs Radomir Revay
02 Nov · 16:30 UTC
46%Lost 2-3✓
vs Matyas Navedla
02 Nov · 15:30 UTC
52%Won 3-1✕
vs Jakub Pilch
28 Oct · 18:00 UTC
53%Lost 1-3✕
vs Libor Prikasky
28 Oct · 17:00 UTC
52%Lost 1-3✕
vs Radovan Polasek
28 Oct · 16:00 UTC
50%Lost 2-3✓
vs Jakub Pilch
28 Oct · 15:30 UTC
50%Won 3-1✓
vs Jakub Pilch
27 Oct · 18:00 UTC
53%Won 3-2✕
vs Libor Prikasky
27 Oct · 17:00 UTC
53%Lost 1-3✕
vs Jakub Pilch
27 Oct · 16:00 UTC
50%Lost 0-3✓
vs Radovan Polasek
27 Oct · 15:30 UTC
49%Won 3-2✕
vs Tadeas Zika
24 Oct · 17:30 UTC
41%Lost 1-3✕
vs Tadeas Zika
24 Oct · 16:00 UTC
42%Lost 0-3✓
vs Jakub Pilch
24 Oct · 15:00 UTC
48%Won 3-0✓
vs Radovan Polasek
24 Oct · 14:30 UTC
49%Won 3-1✕
vs Jakub Pilch
15 Oct · 17:00 UTC
52%Lost 2-3✕
vs Jakub Pilch
15 Oct · 16:00 UTC
49%Lost 1-3✕
vs Michal Cabis
15 Oct · 15:00 UTC
51%Lost 1-3✓
vs Matyas Navedla
15 Oct · 14:30 UTC
53%Won 3-2✓
vs Matyas Navedla
06 Oct · 17:30 UTC
53%Won 3-2✓
vs Radim Urbaniec
06 Oct · 16:30 UTC
54%Won 3-2✓
vs Daniel Ondryas
06 Oct · 15:00 UTC
55%Won 3-1✓
vs Matyas Navedla
06 Oct · 14:00 UTC
53%Won 3-0✓
vs Radim Urbaniec
04 Oct · 17:30 UTC
46%Won 3-0✓
vs Michal Cabis
04 Oct · 16:00 UTC
51%Won 3-2