_-Qster-_ — CS2 Stats

76561198034714444[U:1:74448716]✓ No bans

2,306Tracked matches33%Win rate2022Tracked since
5,228Hours in CS37Hrs last 2 wks
CSDB Rating4.4 Developing
Premier CS Rating17,863Purple band · top ~17% of ranked players (population est.)
CSDB Leaderboard#11542 of 21496 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate43.6%48.1%4.5% short
Shot accuracy4.2%12.9%8.7% short
Kill/death ratio1.051.080.04 short
Match win rate45.9%46.5%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

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CSDB.GG_-Qster-_PREMIER17,863 · Purple bandcsdb.gg/stats

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Performance scores

Aim54
Positioning48
Utility60

0–100 skill scores via Leetify.

Recent form

COLD44551Last 10044%Win rateLLLLWLLLWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.4
Aggression6.9
Utility6.0
Positioning4.8
Opening Duels3.4
Clutch3.2

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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.4
Positioning4.8
Utility6.0
Mechanics3.9
Opening Duels3.4
Win Impact0.0

Composite 4.4/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time583ms−70ms
first ⅓ avg 653ms → last ⅓ avg 583ms
Headshot accuracy19.1%+1.2%
first ⅓ avg 18.0% → last ⅓ avg 19.1%

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

0.07Best rating — dust2 13–4
130Biggest win — cache
4Longest win streak
L4Current streak
610In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 56% over 9cacheWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB26121446%-0.02
nukeC1981142%-0.01
ancientC167944%-0.01
cacheC135838%-0.01
anubisB105550%0.00
dust2A95456%-0.03
mirageC52340%-0.03
vertigo1010%-0.08
poseidon1010%-0.03

Across the last 100 tracked matches.

Lifetime stats

90,849Lifetime kills
1.05K/D
5,251Matches
45.9%Match win rate
43.6%Headshot %
4.2%Shot accuracy
11,295MVPs
2,123Hours (in match)
6,295Bombs planted
1,600Bombs defused

Most-used weapons

AK-4729,704
AWP5,511
MP93,242
MAC-103,018
XM10142,081

Lifetime map wins

13,095nuke
11,515inferno
4,003dust2
2,979vertigo
1,433train
189office
37lake
24italy

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

Faceit stats

Combat

1,039Matches
52%Win rate
0.97Avg K/D
70.6ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno21953%1.0214.6
Nuke20559%1.0013.8
Ancient17546%1.0214.9
Anubis12453%0.8814.1
Vertigo11354%1.0514.6
Dust27540%0.8011.9
Mirage7548%0.8612.9
Train2658%0.8311.8

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.

18.9%Headshot accuracy
30.3%Accuracy (enemy spotted)
33.5%Spray accuracy
67.4%Counter-strafing
9.3°Preaim
589msReaction time
39.1%T opening success
47.8%CT opening success
0.60Enemies flashed / flash
3.2%Flash assists
10.60HE damage / grenade
6.74Flashes / 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 39.1094% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0416%25 Aug
vertigo9–13-0.0815%24 Aug
ancient3–13-0.0550%24 Aug
inferno13–16-0.0222%24 Aug
cache13–30.0417%24 Aug
nuke4–13-0.0324%24 Aug
inferno10–130.0019%24 Aug
nuke8–13-0.0613%24 Aug
inferno13–10-0.0118%24 Aug
anubis7–130.0019%23 Aug
dust213–1-0.0614%23 Aug
ancient13–30.0617%23 Aug
dust26–13-0.0425%23 Aug
ancient3–130.0023%23 Aug
inferno13–60.0326%23 Aug
cache11–130.0427%23 Aug
dust28–13-0.0218%23 Aug
anubis13–9-0.0316%22 Aug
inferno11–13-0.054%22 Aug
cache11–13-0.0315%21 Aug
ancient13–110.0611%21 Aug
nuke13–110.0624%21 Aug
inferno6–13-0.098%21 Aug
inferno10–13-0.0817%21 Aug
nuke7–130.0131%21 Aug
cache13–8-0.0331%19 Aug
ancient10–13-0.0314%18 Aug
inferno13–8-0.0213%18 Aug
ancient11–130.0015%18 Aug
inferno0–13-0.0721%17 Aug
ancient13–2-0.0515%17 Aug
inferno6–13-0.0115%16 Aug
anubis7–130.0016%16 Aug
cache13–80.056%16 Aug
anubis13–50.0311%16 Aug
inferno13–5-0.066%16 Aug
nuke6–13-0.0933%15 Aug
anubis13–6-0.0714%15 Aug
nuke10–130.0222%15 Aug
cache13–50.0024%15 Aug
poseidon3–9-0.0320%15 Aug
inferno9–3-0.0032%15 Aug
inferno6–90.0214%15 Aug
inferno6–90.0129%15 Aug
inferno9–3-0.0125%15 Aug
cache4–13-0.078%15 Aug
nuke13–9-0.0413%14 Aug
dust26–13-0.0323%14 Aug
ancient5–13-0.0121%14 Aug
inferno6–130.0622%14 Aug
ancient13–4-0.0016%13 Aug
inferno13–6-0.0511%13 Aug
nuke13–4-0.0526%13 Aug
inferno7–13-0.0720%12 Aug
ancient13–10-0.0220%11 Aug
nuke13–8-0.0011%9 Aug
ancient14–16-0.0513%9 Aug
nuke13–70.0122%9 Aug
nuke8–13-0.0819%9 Aug
inferno13–70.0418%9 Aug
nuke10–13-0.0413%9 Aug
anubis6–13-0.0122%9 Aug
nuke14–16-0.0133%8 Aug
cache7–13-0.0134%8 Aug
inferno7–13-0.0131%8 Aug
nuke13–40.0441%8 Aug
mirage16–13-0.0222%8 Aug
cache11–13-0.1023%8 Aug
inferno13–5-0.0419%8 Aug
ancient13–10.0714%8 Aug
ancient7–13-0.0312%7 Aug
nuke3–13-0.0321%3 Aug
anubis13–40.0032%3 Aug
inferno6–13-0.0714%3 Aug
mirage13–11-0.0323%2 Aug
nuke8–130.0128%2 Aug
dust27–13-0.0922%1 Aug
dust213–11-0.0020%1 Aug
cache13–0-0.0014%1 Aug
anubis13–30.0026%1 Aug
dust213–6-0.0719%1 Aug
cache8–13-0.096%31 Jul
nuke13–40.076%31 Jul
mirage8–13-0.0710%31 Jul
ancient13–8-0.0310%31 Jul
dust213–4-0.0227%31 Jul
inferno13–110.0423%30 Jul
ancient14–160.0123%30 Jul
inferno13–90.0521%30 Jul
cache9–130.0621%30 Jul
anubis11–130.0419%29 Jul
mirage15–15-0.0112%28 Jul
inferno13–11-0.0216%27 Jul
cache6–130.026%27 Jul
nuke13–30.0218%27 Jul
anubis5–130.0523%26 Jul
inferno0–9-0.0720%26 Jul
dust213–40.0716%26 Jul
nuke11–13-0.0020%26 Jul
ancient1–13-0.0811%26 Jul

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 →