MS Paint

MS Paint — CS2 Stats

US76561199044037010[U:1:1083771282]Steam profile ↗

920Tracked matches45%Win rate2023Tracked since
894Hours in CS31Hrs last 2 wks
CSDB Rating5.1 DevelopingPassive Rifler
Premier CS Rating13,737Blue band · top ~35.1% of ranked players (population est.)
CSDB Leaderboard#35038 of 54581 tracked
FaceitLevel 4 · 1,061 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 rate61.4%42.7%44.0%above
Shot accuracy2.5%10.8%11.6%9.2% short
Kill/death ratio1.471.001.03above
Match win rate41.4%44.1%45.1%3.7% short

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

Widest gap: Shot accuracy. 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.GGMS PaintFACEITLevel 4 · 1,061 ELOSTANDINGTop 81.0% of rankedPREMIER13,737 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning45
Utility56

0–100 skill scores via Leetify.

Recent form

HOT46468Last 10046%Win rateWLWLWWWWLW

Last 10 vs previous 10: +50pp win rate · +0.05 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.5
Aggression3.5
Utility5.6
Positioning4.5
Opening Duels0.1
Clutch2.6

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.

Your pro match

NiKo

Plays most like NiKo 80% 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

Areas to improve

T-side openings. Opening success drops from 44% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim6.5
Positioning4.5
Utility5.6
Mechanics7.7
Opening Duels1.7
Win Impact3.3

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time594ms−49ms
first ⅓ avg 644ms → last ⅓ avg 594ms
Headshot accuracy20.3%−0.9%
first ⅓ avg 21.2% → last ⅓ avg 20.3%

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

0.16Best rating — mirage 13–3
130Biggest win — train
5Longest win streak
69In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 83% over 24ancientWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
mirageS2420483%0.04
dust2B147750%0.02
infernoD131128%-0.01
nukeD124833%0.01
cacheS129375%0.01
ancientD9090%0.00
anubisD62433%0.02
trainC52340%0.01
office2020%-0.07
vertigo21150%0.03
italy1010%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,519Lifetime kills
1.47K/D · Top 5% of Level 4 players
1,421Matches
41.4%Match win rate
61.4%Headshot % · Top 5% of Level 4 players
2.5%Shot accuracy
2,637MVPs
578Hours (in match)
1,430Bombs planted
186Bombs defused

Most-used weapons

Lifetime map wins

1,702dust2
1,567nuke
1,183inferno
665vertigo
205train
131office
66ar_baggage
26italy

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

Faceit stats

Combat

9Matches
56%Win rate
0.93Avg K/D
68.6ADR
61%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis367%0.7611.0
Ancient2100%0.8914.5
Dust2250%1.3015.0
Nuke10%0.8612.0
Inferno10%0.8320.0

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.

20.9%Headshot accuracy
29.6%Accuracy (enemy spotted)
31.6%Spray accuracy
84.5%Counter-strafing
9.8°Preaim
596msReaction time
17.2%T opening success
43.8%CT opening success
0.64Enemies flashed / flash
5.9%Flash assists
8.64HE damage / grenade
11.33Flashes / 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 17.2384% — below the 40% mark we flag

Spend your practice time on Ancient

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–30.0621%31 Aug
train11–13-0.0417%30 Aug
cache13–90.0118%30 Aug
dust210–13-0.0113%30 Aug
mirage13–80.0424%30 Aug
dust213–6-0.0517%30 Aug
dust213–60.0324%30 Aug
mirage13–30.1624%30 Aug
mirage10–130.0315%30 Aug
mirage13–8-0.0022%29 Aug
dust213–50.0319%29 Aug
inferno8–13-0.0222%29 Aug
cache7–13-0.0519%28 Aug
cache13–4-0.0135%27 Aug
ancient1–13-0.066%25 Aug
nuke8–13-0.0333%25 Aug
nuke11–130.0124%23 Aug
inferno9–13-0.087%23 Aug
ancient9–130.0219%23 Aug
inferno7–13-0.0428%23 Aug
mirage13–50.0437%23 Aug
nuke10–13-0.0222%23 Aug
dust210–130.0826%22 Aug
mirage13–50.0423%22 Aug
inferno15–15-0.0215%22 Aug
anubis13–30.0219%22 Aug
italy11–130.0223%19 Aug
anubis6–13-0.0620%19 Aug
ancient9–13-0.0117%19 Aug
dust213–30.0222%19 Aug
inferno7–90.059%18 Aug
cache1–13-0.0514%18 Aug
dust210–130.0417%18 Aug
dust211–13-0.0534%17 Aug
inferno11–13-0.0332%17 Aug
office11–13-0.037%17 Aug
train2–13-0.0424%16 Aug
train6–13-0.0241%16 Aug
cache13–110.1226%15 Aug
ancient9–130.1126%15 Aug
vertigo12–120.0327%15 Aug
nuke7–130.0121%15 Aug
train13–00.1520%15 Aug
inferno8–13-0.0326%14 Aug
dust20–10-0.0124%14 Aug
mirage13–70.0812%13 Aug
mirage13–100.0231%13 Aug
cache13–160.0132%10 Aug
mirage13–60.0426%10 Aug
mirage13–11-0.0518%10 Aug
nuke11–130.0016%9 Aug
office5–13-0.1119%9 Aug
inferno13–40.0119%9 Aug
mirage15–150.0220%9 Aug
mirage13–40.0912%9 Aug
dust213–70.0828%8 Aug
dust213–90.1122%8 Aug
mirage13–4-0.0518%8 Aug
ancient7–13-0.0222%8 Aug
dust213–60.0727%7 Aug
mirage13–40.1319%7 Aug
mirage13–30.1029%7 Aug
ancient12–160.0018%7 Aug
inferno12–120.0021%6 Aug
cache13–20.0339%6 Aug
train13–4-0.0233%6 Aug
cache16–130.0634%5 Aug
nuke13–110.0818%5 Aug
nuke15–150.0527%3 Aug
mirage13–7-0.0521%3 Aug
cache13–80.1421%2 Aug
mirage8–130.0518%2 Aug
inferno5–130.0615%1 Aug
anubis13–60.0218%1 Aug
inferno4–13-0.0630%1 Aug
mirage13–110.0026%1 Aug
mirage13–00.0224%31 Jul
cache13–70.0528%31 Jul
nuke7–13-0.0920%30 Jul
anubis8–130.0215%30 Jul
dust213–16-0.0120%30 Jul
mirage13–10-0.0111%30 Jul
ancient9–13-0.0224%30 Jul
mirage13–80.0420%30 Jul
dust215–15-0.0320%29 Jul
mirage11–13-0.0120%29 Jul
mirage13–110.0219%28 Jul
cache6–0-0.0725%28 Jul
nuke13–8-0.0115%28 Jul
mirage13–100.1519%28 Jul
nuke16–14-0.0219%26 Jul
anubis10–13-0.0215%26 Jul
ancient15–15-0.0220%26 Jul
ancient10–130.0219%25 Jul
inferno4–13-0.0332%25 Jul
vertigo13–30.0217%25 Jul
anubis10–130.1120%25 Jul
nuke15–150.0626%24 Jul
inferno4–13-0.0118%23 Jul
cache13–5-0.0737%23 Jul

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 →