Stewpis — CS2 Stats

76561198219066461[U:1:258800733]

82Tracked matches64%Win rate2023Tracked since
868Hours in CS3Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating15,874Purple band · top ~24.9% of ranked players (population est.)
CSDB Leaderboard#15172 of 25125 tracked
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate36.4%44.1%47.2%10.9% short
Shot accuracy17.2%11.4%12.7%above
Kill/death ratio1.111.031.09meets
Match win rate38.5%45.2%46.6%8.1% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. 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.

Share this profile

CSDB.GGStewpisPREMIER15,874 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning48
Utility56

0–100 skill scores via Leetify.

Recent form

COLD43326Last 8153%Win rateLWLLLLLWLT

Last 10 vs previous 10: -70pp win rate · -0.05 avg rating

Player DNA

Aim5.9
Aggression5.3
Utility5.6
Positioning4.8
Opening Duels0.9

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 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. 650ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim5.9
Positioning4.8
Utility5.6
Mechanics2.5
Opening Duels0.9
Win Impact9.8

Composite 5.0/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time649ms−24ms
first ⅓ avg 673ms → last ⅓ avg 649ms
Headshot accuracy20.6%+3.6%
first ⅓ avg 17.0% → last ⅓ avg 20.6%

Rolling 5-match average across the last 81 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.16Best rating — vertigo 13–2
131Biggest win — dust2
8Longest win streak
32In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 100% over 6cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB1910953%0.02
dust2B178947%0.01
infernoA106460%0.03
nukeD93633%0.01
anubisA74357%0.03
ancientS660100%0.05
cacheD5050%0.01
vertigo43175%0.03
boulder110100%0.01
train1010%0.04
shelter110100%0.13
grail110100%0.04

Across the last 81 tracked matches.

Lifetime stats

22,158Lifetime kills
1.11K/D · Top 50% of Purple band
1,311Matches
38.5%Match win rate
36.4%Headshot %
17.2%Shot accuracy · Top 25% of Purple band
3,459MVPs
388Hours (in match)
808Bombs planted
186Bombs defused

Most-used weapons

Lifetime map wins

3,075dust2
620inferno
347cbble
278train
181nuke
88office
81vertigo
42lake

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

Skill profile

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

20.7%Headshot accuracy
36.2%Accuracy (enemy spotted)
41.7%Spray accuracy
61.3%Counter-strafing
9.8°Preaim
650msReaction time
31.7%T opening success
35.9%CT opening success
0.56Enemies flashed / flash
6.7%Flash assists
8.64HE damage / grenade
8.35Flashes / 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 31.6752% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0225%7 Aug
mirage13–100.0118%7 Aug
cache9–130.0116%7 Aug
dust27–130.0013%7 Aug
dust26–130.0213%7 Aug
dust23–13-0.118%6 Aug
anubis3–13-0.0332%4 Aug
anubis13–70.1220%4 Aug
vertigo3–13-0.0331%4 Aug
mirage12–120.0328%4 Aug
mirage13–80.0525%4 Aug
inferno13–50.0415%3 Aug
dust213–100.0425%3 Aug
vertigo13–9-0.0013%3 Aug
mirage13–110.0417%3 Aug
vertigo13–20.1614%3 Aug
boulder13–50.0112%3 Aug
train8–130.0422%3 Aug
dust213–10.0527%3 Aug
shelter13–50.1323%1 Aug
vertigo13–50.0118%1 Aug
ancient13–100.0126%1 Aug
ancient13–100.0323%1 Aug
mirage13–60.0418%1 Aug
ancient13–70.0827%1 Aug
ancient13–10.0127%1 Aug
mirage10–130.0320%31 Jul
anubis7–130.0223%31 Jul
ancient13–30.1027%31 Jul
dust212–120.0820%31 Jul
mirage7–130.0114%31 Jul
mirage5–13-0.0730%30 Jul
anubis13–90.0216%30 Jul
nuke12–120.0119%30 Jul
nuke13–100.0030%30 Jul
anubis13–80.0524%30 Jul
mirage6–13-0.0320%27 Jul
dust29–130.0524%27 Jul
inferno16–130.0919%27 Jul
inferno5–13-0.066%27 Jul
inferno13–70.0915%27 Jul
mirage13–50.1129%27 Jul
dust24–13-0.0912%27 Jul
mirage13–70.0621%27 Jul
inferno13–80.1322%26 Jul
ancient13–30.0623%26 Jul
cache6–13-0.0917%26 Jul
mirage1–13-0.0514%26 Jul
mirage13–40.1123%26 Jul
dust213–70.0321%26 Jul
nuke13–9-0.0314%26 Jul
cache4–13-0.0510%24 Jul
nuke5–13-0.0119%24 Jul
nuke4–130.046%24 Jul
dust213–10.0310%24 Jul
dust211–13-0.0716%24 Jul
anubis13–90.0318%24 Jul
cache9–130.0426%21 Jul
dust29–13-0.0328%21 Jul
inferno12–2-0.0618%21 Jul
mirage7–13-0.047%20 Jul
dust213–20.0616%20 Jul
cache10–130.1230%20 Jul
inferno16–14-0.0311%20 Jul
dust213–70.0115%20 Jul
nuke6–13-0.067%17 Jul
dust213–70.0719%6 Jul
mirage13–80.0410%6 Jul
inferno13–16-0.0320%5 Jul
mirage13–9-0.0111%5 Jul
dust212–12-0.0119%24 Jun
mirage12–12-0.0216%24 Jun
nuke10–130.0415%24 Jun
nuke7–9-0.0011%22 Jun
nuke9–00.1125%22 Jun
inferno8–80.0821%22 Jun
mirage1–8-0.0020%10 Mar
grail13–30.0410%30 Aug
mirage13–100.085%24 Nov
inferno6–90.0342%30 May
dust29–70.0314%17 May

Match data via Leetify.

Recent teammates

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