Relapse

Relapse — CS2 Stats

76561198085648536[U:1:125382808]Steam profile ↗VAC banned

397Tracked matches56%Win rate2023Tracked since
CSDB Rating2.5 Learning
Premier CS Rating10,102Blue band · top ~54.4% of ranked players (population est.)
CSDB Leaderboard#37511 of 52357 tracked
Ladder ranks via Leetify

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CSDB.GGRelapsePREMIER10,102 · Blue bandcsdb.gg/stats

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Performance scores

Aim13
Positioning35
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY46495Last 10046%Win rateWWTWWWLLTL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim1.3
Aggression1.1
Utility4.3
Positioning3.5
Opening Duels0.0

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 60% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim1.3
Positioning3.5
Utility4.3
Mechanics1.7
Opening Duels0.0
Win Impact6.9

Composite 2.5/10 (Learning), 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 rating-0.04+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time631ms−138ms
first ⅓ avg 769ms → last ⅓ avg 631ms
Headshot accuracy13.7%+0.1%
first ⅓ avg 13.5% → last ⅓ avg 13.7%

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

0.05Best rating — dust2 13–1
130Biggest win — nuke
3Longest win streak
W2Current streak
810In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 57% over 7trainWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B33151845%-0.05
mirageB24121250%-0.07
trainD103730%-0.07
nukeA95456%-0.05
infernoC83538%-0.05
overpassA74357%-0.04
ancientC52340%-0.08
cache32167%-0.04
office1010%-0.11

Across the last 100 tracked matches.

Skill profile

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

12.8%Headshot accuracy
21.5%Accuracy (enemy spotted)
25.4%Spray accuracy
57.5%Counter-strafing
11.5°Preaim
631msReaction time
17.7%T opening success
29.5%CT opening success
0.58Enemies flashed / flash
4.4%Flash assists
4.66HE damage / grenade
6.29Flashes / 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. 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 12.7732% — below the 15% mark we flag

    Aim Training
  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 17.7066% — below the 40% mark we flag

Spend your practice time on Train

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–5-0.0223%21 Aug
ancient13–4-0.068%21 Aug
mirage15–15-0.090%21 Aug
dust213–8-0.050%19 Aug
mirage13–4-0.0513%19 Aug
dust213–2-0.066%19 Aug
nuke9–13-0.058%19 Aug
mirage3–13-0.0814%18 Aug
mirage12–12-0.0711%17 Aug
cache11–13-0.0826%17 Aug
nuke13–7-0.0025%17 Aug
cache13–11-0.047%17 Aug
dust213–7-0.0317%17 Aug
mirage9–13-0.0311%16 Aug
dust213–10.0560%16 Aug
dust213–6-0.017%16 Aug
inferno5–13-0.0913%16 Aug
inferno11–13-0.0114%16 Aug
cache13–1-0.0122%16 Aug
nuke13–5-0.100%16 Aug
dust213–4-0.0717%14 Aug
dust27–130.0125%13 Aug
dust27–13-0.0311%13 Aug
mirage12–12-0.0811%12 Aug
dust22–13-0.100%12 Aug
dust24–13-0.0317%11 Aug
dust213–60.0213%11 Aug
dust213–70.0010%10 Aug
dust28–13-0.117%10 Aug
train10–13-0.1211%26 Aug
dust28–13-0.0925%25 Aug
overpass13–50.0123%25 Aug
nuke13–90.000%19 Aug
mirage4–13-0.0413%19 Aug
dust213–5-0.0519%17 Aug
train13–4-0.0113%17 Aug
dust27–13-0.0835%17 Aug
overpass13–11-0.0323%16 Aug
mirage13–10-0.0815%16 Aug
dust23–13-0.097%15 Aug
inferno3–13-0.0712%14 Aug
dust25–13-0.129%14 Aug
mirage13–7-0.0614%13 Aug
nuke13–0-0.0216%13 Aug
ancient4–13-0.1322%13 Aug
mirage13–3-0.0727%12 Aug
dust213–8-0.0018%12 Aug
train5–13-0.106%12 Aug
mirage5–10-0.065%10 Aug
train12–12-0.0427%7 Aug
mirage13–8-0.0512%7 Aug
inferno13–11-0.0438%7 Aug
ancient8–13-0.0712%6 Aug
dust26–13-0.0717%6 Aug
mirage8–13-0.0523%6 Aug
overpass4–13-0.090%6 Aug
inferno11–13-0.0617%5 Aug
train2–13-0.158%5 Aug
dust213–9-0.065%5 Aug
inferno13–11-0.0213%4 Aug
overpass13–11-0.0211%4 Aug
dust28–13-0.0243%4 Aug
nuke16–12-0.0511%4 Aug
inferno13–10-0.0329%4 Aug
mirage13–7-0.100%4 Aug
inferno11–13-0.097%3 Aug
train2–0-0.030%3 Aug
dust22–13-0.0021%3 Aug
dust28–13-0.1210%1 Aug
dust25–13-0.0713%1 Aug
nuke7–13-0.066%1 Aug
dust26–13-0.1026%29 Jul
mirage13–7-0.1211%29 Jul
train11–13-0.1119%29 Jul
mirage14–16-0.0214%29 Jul
mirage8–13-0.1015%28 Jul
dust213–10-0.077%28 Jul
nuke8–13-0.0611%28 Jul
dust213–8-0.0428%27 Jul
overpass5–13-0.038%27 Jul
overpass11–13-0.0718%25 Jul
mirage13–5-0.046%24 Jul
train13–9-0.029%24 Jul
dust213–10-0.038%24 Jul
dust211–13-0.0911%23 Jul
train8–13-0.109%23 Jul
mirage13–7-0.0314%23 Jul
dust211–13-0.0516%23 Jul
train12–12-0.0116%22 Jul
office4–13-0.1120%22 Jul
ancient13–11-0.048%22 Jul
nuke12–16-0.077%22 Jul
ancient11–13-0.085%21 Jul
mirage5–1-0.0725%21 Jul
dust28–13-0.0314%21 Jul
mirage13–2-0.070%21 Jul
mirage10–13-0.1012%19 Jul
mirage13–11-0.0528%19 Jul
overpass13–7-0.0118%19 Jul
mirage4–13-0.1015%16 Jul

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 →