Purgatory

Purgatory — CS2 Stats

76561199654118751[U:1:1693853023]Steam profile ↗

614Tracked matches63%Win rate2025Tracked since
371Hours in CS
CSDB Rating3.9 Learning
Premier CS Rating5,626Light Blue band · top ~75.8% of ranked players (population est.)
CSDB Leaderboard#15005 of 19656 tracked
Ladder ranks via Leetify

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CSDB.GGPurgatoryPREMIER5,626 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning41
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY54415Last 10054%Win rateWWWWLWLLLW

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

Player DNA

Aim3.4
Aggression3.4
Utility4.9
Positioning4.1
Opening Duels0.1
Clutch2.6

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 75% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 44% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 684ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.4
Positioning4.1
Utility4.9
Mechanics4.2
Opening Duels1.8
Win Impact9.4

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time669ms+25ms
first ⅓ avg 643ms → last ⅓ avg 669ms
Headshot accuracy10.9%−0.6%
first ⅓ avg 11.5% → last ⅓ avg 10.9%

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

0.12Best rating — cache 9–13
130Biggest win — cache
9Longest win streak
W4Current streak
103In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 80% over 5infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
cacheA34191556%0.00
mirageC167944%0.02
dust2S1510567%-0.00
anubisB105550%0.02
nukeB63350%-0.00
infernoC52340%0.03
overpassS54180%0.01
ancient41325%-0.03
train32167%0.08
vertigo21150%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,787Lifetime kills
0.96K/D
1,022Matches
45.9%Match win rate
29.2%Headshot %
0.0%Shot accuracy
1,635MVPs
371Hours (in match)
1,292Bombs planted
293Bombs defused

Most-used weapons

Lifetime map wins

3,930dust2
940inferno
702nuke
196vertigo
113train
84italy
6office

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

Faceit stats

Combat

6Matches
67%Win rate
0.64Avg K/D
57.1ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient250%0.467.0
Inferno1100%0.5811.0
Overpass1100%0.9416.0
Dust210%0.569.0
Mirage1100%0.8618.0

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.

10.5%Headshot accuracy
32.1%Accuracy (enemy spotted)
37.5%Spray accuracy
69.0%Counter-strafing
11.1°Preaim
684msReaction time
16.2%T opening success
44.4%CT opening success
0.47Enemies flashed / flash
3.6%Flash assists
6.01HE damage / grenade
17.05Flashes / 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 10.4835% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4693 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 16.2368% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–3-0.0220%9 Aug
dust213–50.0310%9 Aug
dust213–10-0.028%29 Jul
vertigo13–90.0610%29 Jul
vertigo6–13-0.035%29 Jul
mirage13–9-0.089%24 Jul
dust25–13-0.047%24 Jul
cache3–13-0.0111%24 Jul
anubis10–130.0716%23 Jul
anubis13–70.0118%23 Jul
inferno10–13-0.0011%21 Jul
mirage5–130.043%21 Jul
mirage13–20.1014%6 Jul
mirage1–13-0.0529%6 Jul
anubis7–13-0.036%4 Jul
cache6–13-0.0813%4 Jul
mirage13–50.0224%4 Jul
dust213–70.047%4 Jul
dust213–4-0.0110%3 Jul
nuke13–7-0.013%3 Jul
cache10–80.0416%3 Jul
cache13–90.0220%3 Jul
cache13–00.0618%3 Jul
cache13–7-0.0110%24 Jun
cache13–80.0514%24 Jun
cache11–13-0.067%24 Jun
cache13–50.020%24 Jun
cache13–110.013%23 Jun
inferno13–50.087%23 Jun
nuke9–130.035%22 Jun
dust213–11-0.028%22 Jun
mirage13–30.049%22 Jun
train3–130.0612%22 Jun
cache12–120.019%22 Jun
cache12–120.0611%22 Jun
cache9–13-0.0210%21 Jun
cache9–70.034%21 Jun
nuke12–12-0.065%21 Jun
cache13–50.019%21 Jun
cache7–130.0213%21 Jun
mirage2–130.0114%20 Jun
mirage7–130.019%20 Jun
cache13–40.035%20 Jun
cache13–80.016%20 Jun
cache9–00.076%20 Jun
cache9–130.1210%20 Jun
cache13–4-0.0110%20 Jun
cache1–13-0.070%20 Jun
train8–10.0727%20 Jun
train13–60.1213%20 Jun
anubis5–130.046%28 May
anubis6–130.024%28 May
anubis1–13-0.069%28 May
mirage2–13-0.0510%15 May
dust213–11-0.0217%15 May
mirage10–13-0.0115%14 May
dust216–14-0.0310%14 May
mirage9–130.028%12 May
cache3–13-0.065%12 May
cache13–70.008%12 May
ancient15–15-0.007%12 May
cache13–70.027%10 May
cache6–13-0.0411%10 May
cache3–13-0.0313%10 May
cache7–4-0.0511%10 May
cache0–13-0.0725%10 May
overpass13–7-0.047%2 May
mirage13–50.0815%2 May
overpass13–100.0212%2 May
anubis16–140.009%2 May
cache13–50.085%2 May
cache2–13-0.0227%2 May
cache13–9-0.0411%2 May
anubis13–110.036%2 May
ancient0–9-0.0413%2 May
cache13–70.036%1 May
cache6–11-0.084%1 May
anubis7–10.0416%29 Apr
dust212–12-0.005%29 Apr
overpass5–13-0.056%29 Apr
dust214–160.0614%28 Apr
anubis13–110.0914%28 Apr
dust216–120.0711%28 Apr
nuke9–130.0312%28 Apr
ancient6–13-0.0615%28 Apr
mirage13–60.1211%28 Apr
inferno9–130.036%28 Apr
dust29–13-0.0612%27 Apr
overpass13–50.0021%27 Apr
mirage12–160.0213%27 Apr
inferno13–80.029%27 Apr
inferno10–130.0116%27 Apr
mirage11–130.0410%27 Apr
dust213–50.0517%24 Apr
nuke13–80.015%24 Apr
dust22–13-0.0412%24 Apr
overpass13–60.109%24 Apr
ancient13–11-0.0110%23 Apr
mirage13–30.0215%23 Apr
nuke13–10-0.0317%22 Apr

Match data via Leetify.

Recent teammates

Milestones

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