Stimi — CS2 Stats

76561198090474553[U:1:130208825]

435Tracked matches50%Win rate2020Tracked since
369Hours in CS
CSDB Rating4.2 DevelopingClutch Specialist
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate43.7%42.5%44.2%meets
Shot accuracy19.3%10.9%11.2%above
Kill/death ratio0.890.991.040.14 short
Match win rate34.8%44.2%45.3%10.5% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGStimiFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning41
Utility3

0–100 skill scores via Leetify.

Recent form

STEADY54397Last 10054%Win rateWWLLWLWLWW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim6.3
Aggression4.4
Utility0.3
Positioning4.1
Opening Duels1.7
Clutch8.0

Limited utility dependenceReliable 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 77% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 630ms 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

Aim6.3
Positioning4.1
Utility0.3
Mechanics5.4
Opening Duels1.7
Win Impact5.0

Composite 4.2/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time614ms−22ms
first ⅓ avg 636ms → last ⅓ avg 614ms
Headshot accuracy18.1%−1.0%
first ⅓ avg 19.1% → last ⅓ avg 18.1%

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

0.20Best rating — vertigo 9–7
130Biggest win — mirage
5Longest win streak
W2Current streak
56In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 67% over 6anubisWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA2113862%0.02
infernoA2113862%-0.01
nukeB126650%-0.01
dust2A127558%-0.00
anubisC104640%-0.04
ancientA74357%0.01
trainS64267%-0.00
overpass4040%-0.05
vertigo42250%0.03
agency1010%-0.00
grail1010%-0.03
jura110100%0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,268Lifetime kills
0.89K/D
1,144Matches
34.8%Match win rate
43.7%Headshot % · Top 50% of Level 4 players
19.3%Shot accuracy · Top 5% of Level 4 players
2,578MVPs
369Hours (in match)
397Bombs planted
129Bombs defused

Most-used weapons

Lifetime map wins

1,631dust2
1,169inferno
542nuke
196train
192lake
166vertigo
20cbble
14bank

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

Faceit stats

Combat

17Matches
53%Win rate
1.20Avg K/D
80.6ADR
40%Headshot %

Clutches & streaks

60%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Cache333%0.7213.7
Nuke367%1.0716.0
Train1100%1.5329.0
Mirage10%1.0428.0
Inferno10%1.3527.0
Anubis1100%2.0012.0

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.

17.6%Headshot accuracy
36.1%Accuracy (enemy spotted)
36.4%Spray accuracy
74.4%Counter-strafing
10.0°Preaim
630msReaction time
32.7%T opening success
41.2%CT opening success
0.03Enemies flashed / flash
3.0%Flash assists
3.15HE damage / grenade
0.35Flashes / 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. 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 0.0304 — below the 0.5 mark we flag

    Grenade Lineups
  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 32.6949% — below the 40% mark we flag

Spend your practice time on Anubis

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 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–90.1013%25 Jul
mirage13–100.066%25 Jul
nuke9–13-0.0116%21 Mar
mirage10–130.0521%21 Mar
mirage13–90.0018%21 Mar
mirage11–13-0.0312%20 Mar
ancient13–110.1023%20 Mar
overpass5–13-0.065%20 Mar
dust213–5-0.0011%20 Mar
mirage13–30.0721%19 Mar
anubis13–10-0.0113%17 Mar
ancient13–70.0129%16 Mar
anubis13–8-0.0120%8 Feb
dust24–11-0.0610%8 Feb
inferno13–50.0415%11 Jan
ancient5–130.0114%15 Nov
overpass12–12-0.0318%15 Nov
mirage12–120.0014%31 Aug
dust213–100.0418%31 Aug
vertigo13–2-0.0530%31 Aug
inferno2–13-0.0550%31 Aug
overpass5–13-0.058%31 Aug
nuke2–13-0.0515%2 Aug
vertigo9–70.2018%1 Aug
inferno9–60.0114%1 Aug
overpass8–13-0.0429%27 Jul
mirage2–13-0.0738%27 Jul
inferno9–30.0322%23 Jul
ancient6–13-0.049%11 Jul
dust213–6-0.0219%11 Jul
anubis9–3-0.0418%11 Jul
train10–13-0.009%16 Jun
agency11–13-0.0024%15 Jun
anubis1–8-0.050%15 Jun
mirage13–00.1119%15 Jun
inferno13–30.0425%15 Jun
nuke12–120.0124%14 Jun
mirage13–9-0.0415%8 Jun
inferno12–12-0.0017%1 Jun
mirage13–90.0623%31 May
mirage13–30.0110%31 May
nuke13–10-0.0227%31 May
mirage13–8-0.0113%31 May
train5–13-0.078%26 May
inferno4–13-0.0620%26 May
dust213–50.1316%26 May
anubis13–100.0322%17 May
train13–60.0222%17 May
anubis5–13-0.0921%17 May
inferno13–80.0718%17 May
dust210–13-0.0212%17 May
grail5–5-0.0322%9 May
jura13–10.1332%9 May
anubis7–13-0.0215%5 May
nuke0–50.000%27 Apr
mirage10–130.049%27 Apr
mirage13–160.0212%26 Apr
inferno13–4-0.027%26 Apr
nuke9–13-0.0714%26 Apr
train13–90.0015%26 Apr
ancient13–80.026%26 Apr
dust213–2-0.0624%26 Apr
dust210–13-0.0017%19 Apr
anubis8–13-0.058%16 Apr
inferno13–11-0.0215%16 Apr
mirage13–30.0918%16 Apr
nuke11–13-0.0413%11 Apr
mirage13–10.1115%11 Apr
dust212–10.0223%10 Apr
mirage6–13-0.0311%10 Apr
ancient10–13-0.0511%8 Apr
nuke13–90.0129%8 Apr
mirage13–3-0.0215%8 Apr
inferno1–9-0.2314%6 Apr
inferno9–4-0.0022%6 Apr
inferno8–80.0828%6 Apr
vertigo8–8-0.1013%6 Apr
nuke9–5-0.0621%6 Apr
nuke13–7-0.0111%6 Apr
train13–2-0.0015%6 Apr
dust27–13-0.0215%6 Apr
mirage11–130.0215%5 Apr
mirage13–20.0117%5 Apr
vertigo11–130.0515%5 Apr
inferno13–110.0221%5 Apr
anubis5–13-0.0414%4 Apr
train13–70.0446%3 Apr
dust26–13-0.028%3 Apr
nuke13–20.0829%3 Apr
ancient13–90.0426%2 Apr
inferno13–40.0124%2 Apr
mirage13–70.0324%2 Apr
anubis9–13-0.0711%2 Apr
inferno15–15-0.0715%1 Apr
inferno5–9-0.0712%29 Mar
inferno9–7-0.0928%29 Mar
dust213–10-0.0128%29 Mar
inferno4–9-0.0419%29 Mar
inferno9–60.0426%29 Mar
inferno9–50.0610%29 Mar

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 →