.ᶜᵃˡˡ ᵐᵉ ᶻᵘʰⁿ

.ᶜᵃˡˡ ᵐᵉ ᶻᵘʰⁿ — CS2 Stats

CZ76561199391548991[U:1:1431283263]Steam profile ↗✓ No bans

1,139Tracked matches62%Win rate2022Tracked since
5,091Hours in CS1Hrs last 2 wks
CSDB Rating6.0 SolidSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,252 +1,003 16 Jun – 9 Aug · 18 days played
16,65718,659peak 18,65916 Jun9 Aug
19,076Peak Premier in tracked matches
37Days played since 2026-06-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate45.2%43.8%44.8%meets
Shot accuracy6.6%12.0%12.4%5.8% short
Kill/death ratio1.081.021.03above
Match win rate51.4%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG.ᶜᵃˡˡ ᵐᵉ ᶻᵘʰⁿFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning60
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–41–10Last 10049%Win rateWLWWLWLWWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · −0.4pp headshot accuracy · −80ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 545ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 542ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 582ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim6.1
Utility6.1
Positioning6.0
Opening Duels4.1
Clutch3.0

Strong CT-side opener

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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
Positioning6.0
Utility6.1
Mechanics4.8
Opening Duels4.3
Win Impact8.8

Composite 6.0/10 (Solid), 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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time579ms−34ms
first ⅓ avg 614ms → last ⅓ avg 579ms
Headshot accuracy21.1%−1.7%
first ⅓ avg 22.8% → last ⅓ avg 21.1%

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.

Personal bests

0.12Best match rating · 13–9 · mirage, 19 Jun →
58%Best headshot accuracy · 1–13 · dust2, 1 Aug →
359msFastest reaction time · 13–7 · ancient, 6 Aug →
13–1Biggest win · dust2, 4 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–3In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 62% over 26infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B3820–1853%-0.01
mirageA2616–1062%0.01
infernoD133–1023%-0.02
cacheD62–433%0.01
nukeC52–340%0.02
overpass—43–175%-0.01
anubis—42–250%-0.02
ancient—31–233%-0.04
office—10–10%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,956Lifetime kills
1.08K/D · Top 50% of Level 5 players
2,424Matches
51.4%Match win rate · Top 10% of Level 5 players
45.2%Headshot % · Top 50% of Level 5 players
6.6%Shot accuracy
6,062MVPs
758Hours (in match)
2,829Bombs planted
887Bombs defused

Most-used weapons

Lifetime map wins

3,783inferno
3,665dust2
1,622vertigo
810nuke
568train
156cbble
40lake
38office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

110Matches
51%Win rate
1.03Avg K/D
72.9ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3549%1.0114.3
Inferno1753%1.1617.1
Dust21457%0.9114.5
Anubis1346%0.9613.7
Train743%1.2116.7
Vertigo683%1.2217.0
Nuke520%0.8012.6
Ancient425%0.8011.0

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.

20.3%Headshot accuracy
31.1%Accuracy (enemy spotted)
38.3%Spray accuracy
71.4%Counter-strafing
10.3°Preaim
582msReaction time
25.7%T opening success
64.1%CT opening success
0.65Enemies flashed / flash
6.9%Flash assists
6.87HE damage / grenade
11.10Flashes / 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 25.7104% — below the 40% mark we flag

Spend your practice time on Inferno

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–70.1121%5 Sept →
office7–130.0724%5 Sept →
mirage13–10-0.0117%5 Sept →
mirage13–110.0314%5 Sept →
inferno4–9-0.0235%5 Sept →
dust213–10.0218%4 Sept →
overpass9–13-0.0216%4 Sept →
overpass13–100.0418%3 Sept →
inferno13–100.0429%3 Sept →
mirage8–13-0.0228%1 Sept →
dust21–4-0.0240%1 Sept →
anubis13–40.0318%31 Aug →
dust23–13-0.0521%30 Aug →
inferno12–120.0717%30 Aug →
mirage5–13-0.1035%30 Aug →
cache13–70.0022%15 Aug →
anubis4–13-0.0912%9 Aug →
mirage6–13-0.0421%8 Aug →
dust213–70.0121%8 Aug →
dust212–12-0.0116%8 Aug →
dust213–1-0.0214%8 Aug →
ancient9–13-0.0720%7 Aug →
mirage13–80.0226%7 Aug →
inferno12–120.019%7 Aug →
dust213–9-0.0215%7 Aug →
inferno12–12-0.0722%6 Aug →
ancient13–7-0.0527%6 Aug →
anubis9–13-0.0213%6 Aug →
cache13–80.1111%5 Aug →
dust213–70.0228%5 Aug →
mirage13–100.0130%5 Aug →
dust27–13-0.0815%4 Aug →
nuke11–13-0.0323%4 Aug →
cache15–15-0.0323%3 Aug →
dust213–160.0625%3 Aug →
mirage13–90.0225%3 Aug →
inferno13–70.0120%2 Aug →
mirage2–13-0.0132%2 Aug →
dust216–120.0113%2 Aug →
mirage10–13-0.0143%1 Aug →
dust23–13-0.0921%1 Aug →
dust212–1-0.0125%1 Aug →
dust213–5-0.0419%1 Aug →
mirage13–10-0.0332%1 Aug →
inferno2–9-0.1511%1 Aug →
dust21–13-0.0658%1 Aug →
inferno8–8-0.0132%1 Aug →
dust213–30.0737%31 Jul →
mirage13–110.0123%31 Jul →
dust213–6-0.0611%31 Jul →
dust213–110.0322%25 Jul →
mirage13–10.0444%25 Jul →
dust213–70.0442%25 Jul →
dust27–13-0.0221%24 Jul →
inferno15–15-0.0126%11 Jul →
cache9–130.0033%11 Jul →
inferno7–90.0035%11 Jul →
mirage15–15-0.0015%11 Jul →
ancient15–15-0.0122%10 Jul →
mirage13–90.0430%5 Jul →
dust213–70.0317%5 Jul →
dust28–13-0.0021%4 Jul →
dust213–8-0.0339%4 Jul →
dust213–50.0416%4 Jul →
dust213–11-0.0327%3 Jul →
dust213–50.0838%3 Jul →
cache4–130.0350%3 Jul →
mirage16–13-0.0214%3 Jul →
dust27–13-0.0920%30 Jun →
dust29–13-0.0422%29 Jun →
mirage13–10.0829%29 Jun →
dust27–13-0.0319%29 Jun →
mirage6–13-0.0253%28 Jun →
cache11–13-0.0520%27 Jun →
dust23–13-0.0316%27 Jun →
inferno9–70.0714%27 Jun →
mirage9–130.0432%27 Jun →
nuke13–80.1027%26 Jun →
inferno3–9-0.1221%25 Jun →
mirage12–120.0115%25 Jun →
dust28–13-0.0621%25 Jun →
dust28–130.0010%25 Jun →
nuke7–130.0131%24 Jun →
dust210–13-0.0450%24 Jun →
mirage13–110.0114%24 Jun →
mirage16–130.0526%24 Jun →
anubis13–3-0.0128%24 Jun →
mirage7–130.0122%24 Jun →
overpass13–5-0.0226%23 Jun →
nuke6–130.0024%23 Jun →
mirage13–90.0420%23 Jun →
dust213–90.0321%21 Jun →
overpass13–10-0.026%21 Jun →
nuke13–70.0220%21 Jun →
dust216–120.0525%20 Jun →
mirage13–90.1224%19 Jun →
dust213–60.0827%19 Jun →
dust26–13-0.0523%18 Jun →
dust22–10-0.0520%18 Jun →
inferno7–13-0.0715%16 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.