STUMP

STUMP — CS2 Stats

IL76561198353845800[U:1:393580072]Steam profile ↗

1,687Tracked matches42%Win rate2020Tracked since
CSDB Rating4.1 Developing
Premier CS Rating11,788Blue band · top ~45.4% of ranked players (population est.)
CSDB Leaderboard#19981 of 28396 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSTUMPFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER11,788 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning44
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY365311Last 10036%Win rateWLLWLWLWWL

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

Player DNA

Aim5.0
Aggression4.2
Utility5.3
Positioning4.4
Opening Duels0.8

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 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 663ms 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

Aim5.0
Positioning4.4
Utility5.3
Mechanics5.6
Opening Duels1.1
Win Impact2.4

Composite 4.1/10 (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 -0.00 → last ⅓ avg 0.01
Reaction time659ms+26ms
first ⅓ avg 633ms → last ⅓ avg 659ms
Headshot accuracy13.8%+2.2%
first ⅓ avg 11.7% → last ⅓ avg 13.8%

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

0.18Best rating — inferno 13–5
131Biggest win — mirage
4Longest win streak
46In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeD2371630%0.00
infernoC1761135%0.00
cacheC167944%-0.02
mirageC156940%0.01
dust2D112918%0.01
ancientD71614%-0.02
anubisS64267%0.01
vertigo220100%-0.01
train110100%-0.04
office1010%-0.02
overpass1010%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

110Matches
40%Win rate
0.82Avg K/D
ADR
29%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage956%1.3617.1
Ancient560%1.0615.4
Anubis4100%1.9318.0
Inferno3100%1.3418.0
Vertigo250%0.9315.5
Dust2250%0.7811.0
Nuke1100%0.7911.0

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.

13.6%Headshot accuracy
38.8%Accuracy (enemy spotted)
38.8%Spray accuracy
75.4%Counter-strafing
13.4°Preaim
663msReaction time
27.0%T opening success
39.0%CT opening success
0.62Enemies flashed / flash
8.1%Flash assists
10.93HE damage / grenade
4.03Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.414° — above the 12° mark we flag

    Aim Training
  2. 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 13.6489% — below the 15% mark we flag

    Aim Training
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0514%26 Aug
ancient4–13-0.032%26 Aug
inferno5–13-0.076%26 Aug
ancient13–4-0.0014%25 Aug
nuke8–13-0.0314%24 Aug
mirage16–120.006%24 Aug
ancient11–13-0.059%24 Aug
anubis12–70.0720%24 Aug
nuke13–8-0.0221%24 Aug
mirage9–13-0.029%24 Aug
nuke3–13-0.0316%24 Aug
nuke9–130.029%15 Aug
nuke15–15-0.0216%5 Aug
mirage13–40.0412%5 Aug
cache13–7-0.009%5 Aug
inferno3–13-0.0122%5 Aug
nuke9–13-0.0219%31 Jul
ancient12–16-0.0212%28 Jul
dust213–90.0216%28 Jul
cache13–50.0614%28 Jul
dust212–120.0510%24 Jul
mirage10–130.0419%24 Jul
cache10–130.0416%24 Jul
nuke13–100.0612%24 Jul
inferno5–130.1213%24 Jul
mirage2–130.0526%21 Jul
dust212–120.0513%18 Jul
vertigo13–90.0115%18 Jul
nuke11–130.0515%9 Jul
cache12–12-0.0117%8 Jul
vertigo13–11-0.0313%8 Jul
dust24–13-0.0410%6 Jul
ancient12–12-0.0319%3 Jul
dust212–120.0111%3 Jul
mirage13–100.036%1 Jul
cache2–13-0.0818%1 Jul
dust211–13-0.0216%1 Jul
inferno13–100.0213%25 Jun
mirage13–10.108%25 Jun
dust213–20.1531%25 Jun
dust28–13-0.0416%22 Jun
inferno5–13-0.0622%22 Jun
train13–11-0.0410%13 Jun
office5–13-0.0217%12 Jun
nuke1–8-0.0513%12 Jun
mirage3–13-0.010%12 Jun
nuke13–70.089%12 Jun
mirage13–80.0411%5 Jun
nuke12–120.0411%4 Jun
cache5–13-0.048%4 Jun
inferno13–10-0.0114%4 Jun
mirage5–13-0.056%27 May
nuke12–12-0.0821%27 May
inferno13–7-0.0311%26 May
cache13–10-0.0613%26 May
nuke10–130.016%21 May
cache9–130.039%21 May
inferno4–13-0.053%20 May
mirage0–13-0.0921%20 May
nuke2–13-0.110%18 May
cache13–10-0.048%18 May
cache11–130.055%17 May
ancient11–130.0111%17 May
dust29–13-0.0516%17 May
anubis13–6-0.0111%16 May
inferno16–140.0213%13 May
inferno13–100.0521%13 May
cache2–0-0.100%13 May
cache12–12-0.0712%13 May
cache13–100.0213%6 May
cache4–13-0.050%6 May
cache13–100.036%6 May
cache8–13-0.0320%2 May
anubis9–13-0.0116%26 Apr
ancient12–12-0.0111%14 Apr
nuke12–12-0.0512%24 Mar
overpass2–13-0.077%12 Mar
inferno13–50.1814%12 Mar
mirage7–130.089%10 Mar
mirage11–13-0.019%9 Mar
nuke10–13-0.0518%9 Mar
nuke8–130.038%9 Mar
dust29–130.0123%4 Mar
mirage2–13-0.0820%4 Mar
inferno4–13-0.0515%4 Mar
anubis13–50.0316%3 Mar
anubis13–4-0.0117%3 Mar
nuke13–6-0.018%3 Mar
nuke9–130.0210%1 Mar
dust27–13-0.096%1 Mar
inferno8–13-0.048%1 Mar
inferno7–13-0.027%18 Feb
nuke13–40.0614%18 Feb
mirage13–60.067%18 Feb
inferno4–130.0219%13 Feb
nuke3–130.0513%13 Feb
anubis6–13-0.017%13 Feb
inferno7–13-0.0419%8 Feb
nuke13–30.1014%2 Feb
inferno8–130.0212%2 Feb

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 →