☆ Kalasz145™ ☆ — CS2 Stats

76561198161480343[U:1:201214615]

215Tracked matches54%Win rate2023Tracked since
CSDB Rating4.0 DevelopingClutch Specialist
Premier CS Rating10,995Blue band · top ~49.6% of ranked players (population est.)
CSDB Leaderboard#37646 of 53649 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GG ☆ Kalasz145™ ☆PREMIER10,995 · Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning50
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY39529Last 10039%Win rateLWLTLWWWLW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim3.9
Aggression4.6
Utility5.4
Positioning5.0
Opening Duels1.1
Clutch10.0

Reliable in 1v1s

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 79% 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. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning5.0
Utility5.4
Mechanics3.6
Opening Duels1.1
Win Impact6.2

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time657ms−76ms
first ⅓ avg 734ms → last ⅓ avg 657ms
Headshot accuracy13.5%+0.1%
first ⅓ avg 13.4% → last ⅓ avg 13.5%

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

0.21Best rating — italy 7–0
131Biggest win — inferno
5Longest win streak
64In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 80% over 5debrisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
officeC27111641%-0.01
nukeD1551033%0.01
ancientD103730%-0.00
eldoradoC104640%-0.02
debrisD92722%-0.04
infernoC73443%0.02
anubisS54180%0.03
cacheC52340%0.02
dust231233%0.01
shelter31233%-0.06
italy21150%0.09
mirage1010%-0.06
fachwerk1010%-0.02
boulder110100%0.04
vertigo110100%0.20

Across the last 100 tracked matches.

Faceit stats

Combat

9Matches
56%Win rate
0.56Avg K/D
61.2ADR
47%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

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.

13.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.3%Spray accuracy
66.1%Counter-strafing
11.8°Preaim
633msReaction time
37.6%T opening success
31.5%CT opening success
0.52Enemies flashed / flash
6.5%Flash assists
9.42HE damage / grenade
9.58Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0433% — below the 15% mark we flag

    Aim Training
  2. 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 37.5652% — 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.

30% 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
ancient2–13-0.109%29 Aug
anubis13–30.089%29 Aug
anubis4–130.0217%29 Aug
debris8–8-0.0118%29 Aug
nuke5–13-0.0012%29 Aug
cache13–90.0422%29 Aug
debris9–2-0.0114%29 Aug
office13–90.0212%28 Aug
eldorado4–9-0.1013%28 Aug
inferno13–10.0212%28 Aug
cache7–13-0.0117%27 Aug
ancient15–15-0.019%27 Aug
eldorado9–40.1512%27 Aug
cache7–130.0431%27 Aug
debris6–9-0.048%27 Aug
eldorado4–9-0.145%27 Aug
office13–60.0111%27 Aug
ancient3–80.058%26 Aug
ancient6–13-0.0110%26 Aug
inferno13–70.0522%26 Aug
cache8–130.0112%26 Aug
debris3–9-0.088%26 Aug
nuke9–130.0314%26 Aug
debris4–9-0.1621%26 Aug
mirage9–13-0.0613%26 Aug
anubis13–100.015%26 Aug
inferno13–60.1115%26 Aug
debris8–8-0.0122%25 Aug
ancient13–8-0.0112%25 Aug
debris7–9-0.0318%25 Aug
eldorado1–9-0.2115%25 Aug
eldorado4–9-0.0110%25 Aug
office12–12-0.0310%23 Aug
dust22–13-0.0226%23 Aug
anubis13–50.0711%23 Aug
dust213–11-0.0012%22 Aug
anubis13–11-0.065%22 Aug
nuke13–100.0115%22 Aug
office13–9-0.0212%22 Aug
inferno5–13-0.0411%22 Aug
nuke13–8-0.0610%22 Aug
nuke4–13-0.0012%22 Aug
office7–130.0510%22 Aug
italy5–13-0.0312%21 Aug
inferno9–130.039%21 Aug
office7–13-0.0320%21 Aug
ancient6–13-0.048%21 Aug
nuke11–130.0718%21 Aug
ancient13–6-0.019%21 Aug
ancient13–70.0511%21 Aug
inferno9–130.0315%21 Aug
eldorado9–70.0321%20 Aug
eldorado8–8-0.008%20 Aug
eldorado9–10.0824%20 Aug
office9–13-0.0114%20 Aug
nuke9–130.0017%19 Aug
nuke11–13-0.0626%19 Aug
office13–60.0117%19 Aug
office13–8-0.0422%19 Aug
nuke13–60.0220%18 Aug
ancient15–150.0110%18 Aug
ancient10–130.0612%18 Aug
office9–13-0.0619%18 Aug
inferno15–15-0.0516%17 Aug
debris3–9-0.0313%17 Aug
office11–13-0.0513%17 Aug
nuke7–130.0517%16 Aug
office13–70.0719%16 Aug
office9–130.0418%30 Jul
nuke4–3-0.0215%30 Jul
office13–110.0115%24 Jul
shelter4–13-0.1210%24 Jul
nuke5–9-0.0610%23 Jul
eldorado5–9-0.110%23 Jul
office13–6-0.0315%23 Jul
nuke13–70.0711%23 Jul
office8–13-0.0911%23 Jul
dust29–130.0413%17 Jul
nuke6–130.0824%17 Jul
office13–110.0211%17 Jul
fachwerk0–6-0.0230%17 Jul
shelter13–70.0513%17 Jul
boulder13–100.0416%17 Jul
debris9–50.059%17 Jul
eldorado4–00.1110%17 Jul
office12–120.0614%10 Jul
office13–90.0213%10 Jul
office6–13-0.086%9 Jul
office10–13-0.0011%9 Jul
shelter1–13-0.110%9 Jul
office9–13-0.1019%8 Jul
office4–13-0.0816%7 Jul
office12–120.0418%5 Jul
office13–80.0520%5 Jul
nuke2–80.1017%4 Jul
italy7–00.2117%4 Jul
office4–13-0.056%4 Jul
cache13–90.0316%4 Jul
vertigo9–40.208%3 Jul
office5–13-0.0413%3 Jul

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 →