Tempomat Zsolti

Tempomat Zsolti — CS2 Stats

76561198005747385[U:1:45481657]Steam profile ↗

393Tracked matches55%Win rate2024Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
Premier CS Rating18,775Purple band · top ~13.4% of ranked players (population est.)
CSDB Leaderboard#22215 of 49171 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGTempomat ZsoltiFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,775 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning53
Utility62

0–100 skill scores via Leetify.

Recent form

HOT45487Last 10045%Win rateWWWWLWWLLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression5.2
Utility6.2
Positioning5.3
Opening Duels0.5
Clutch4.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 551ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.1
Positioning5.3
Utility6.2
Mechanics5.0
Opening Duels0.5
Win Impact6.7

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time553ms−62ms
first ⅓ avg 615ms → last ⅓ avg 553ms
Headshot accuracy18.1%+0.9%
first ⅓ avg 17.3% → last ⅓ avg 18.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.24Best rating — debris 9–5
132Biggest win — mirage
7Longest win streak
W4Current streak
47In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 70% over 10ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC1661038%0.00
cacheB147750%0.03
mirageB136746%-0.00
officeA106460%0.04
ancientD102820%0.02
anubisS107370%0.04
nukeB84450%0.04
dust2C83538%0.02
vertigo31233%-0.00
train1010%-0.02
debris110100%0.24
eldorado1010%-0.01
boulder110100%0.10
shelter1010%0.03
overpass110100%0.01
italy1010%0.04
alpine1010%0.13

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches
50%Win rate
1.34Avg K/D
88.1ADR
47%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2757%1.3114.4
Nuke743%0.9815.4
Inferno650%2.0915.0
Ancient540%1.2318.4
Mirage560%1.2716.2
Train250%1.1614.5
Anubis250%1.0617.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.1%Headshot accuracy
34.2%Accuracy (enemy spotted)
33.4%Spray accuracy
72.5%Counter-strafing
11.0°Preaim
551msReaction time
31.0%T opening success
33.3%CT opening success
0.54Enemies flashed / flash
7.0%Flash assists
11.42HE damage / grenade
14.73Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.0339% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
office8–1-0.040%30 Aug
nuke13–50.0813%29 Aug
ancient13–50.0311%29 Aug
mirage16–13-0.0313%29 Aug
cache9–130.0321%28 Aug
mirage13–20.0413%28 Aug
office13–60.0426%27 Aug
ancient6–130.0320%25 Aug
inferno9–13-0.0031%24 Aug
office12–70.0023%24 Aug
anubis4–13-0.0024%23 Aug
cache13–90.0419%23 Aug
cache13–60.0014%23 Aug
mirage13–60.0113%23 Aug
ancient7–13-0.0219%22 Aug
cache13–20.0615%22 Aug
vertigo5–13-0.0116%22 Aug
office2–4-0.1314%14 Aug
train12–12-0.0220%12 Aug
office5–70.0823%11 Aug
vertigo6–13-0.0632%11 Aug
nuke11–130.0120%2 Aug
debris9–50.2414%2 Aug
anubis13–50.0722%2 Aug
inferno4–13-0.0214%1 Aug
cache13–2-0.014%1 Aug
anubis13–90.0113%29 Jul
mirage0–7-0.0818%29 Jul
inferno13–100.0825%28 Jul
cache13–60.0813%28 Jul
nuke7–130.0016%28 Jul
nuke4–13-0.0127%27 Jul
nuke13–80.1133%27 Jul
cache5–130.0218%27 Jul
inferno13–110.0115%27 Jul
cache6–130.0216%26 Jul
nuke8–13-0.049%18 Jul
mirage8–130.029%18 Jul
office2–60.1117%18 Jul
ancient10–13-0.0316%11 Jul
mirage9–130.0117%11 Jul
anubis9–13-0.058%11 Jul
ancient3–13-0.046%11 Jul
dust29–130.0722%11 Jul
anubis7–130.0615%10 Jul
cache13–100.1723%10 Jul
eldorado8–8-0.0118%10 Jul
inferno4–9-0.1518%10 Jul
ancient6–130.0214%10 Jul
inferno13–70.0318%10 Jul
cache13–10-0.0115%10 Jul
anubis13–60.0814%10 Jul
boulder13–100.1019%10 Jul
shelter11–130.0315%9 Jul
ancient6–130.0910%6 Jul
anubis13–100.0514%6 Jul
inferno13–80.0617%6 Jul
dust216–14-0.059%6 Jul
cache10–130.0512%4 Jul
office13–90.0511%4 Jul
cache2–13-0.0413%4 Jul
inferno9–13-0.038%3 Jul
dust211–130.0420%29 Jun
dust213–3-0.0210%29 Jun
inferno2–13-0.0314%29 Jun
overpass13–110.0118%28 Jun
mirage13–90.0116%28 Jun
mirage8–13-0.0213%25 Jun
office13–90.1118%24 Jun
dust27–130.0110%24 Jun
nuke13–40.1721%24 Jun
inferno13–9-0.0720%23 Jun
office13–30.1315%23 Jun
anubis13–90.0016%18 Jun
inferno11–130.0617%17 Jun
dust213–100.0724%16 Jun
anubis13–100.0721%10 Jun
nuke13–40.0523%8 Jun
inferno13–70.0522%8 Jun
ancient13–90.0513%25 May
mirage13–20.1119%25 May
vertigo9–60.0616%20 May
inferno5–9-0.0317%20 May
inferno15–150.0718%19 May
anubis13–40.0822%19 May
mirage5–13-0.1118%19 May
mirage13–11-0.0513%19 May
ancient12–120.0229%18 May
mirage5–130.0315%18 May
inferno7–13-0.0218%18 May
italy12–120.0416%15 May
cache1–13-0.039%15 May
dust212–120.0319%15 May
inferno10–130.0220%15 May
ancient4–130.037%15 May
dust25–130.0116%15 May
alpine12–120.1319%15 May
mirage4–13-0.0124%15 May
office5–130.0814%15 May
cache11–13-0.019%15 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →