imba™

imba™ — CS2 Stats

RO76561197989908492[U:1:29642764]Steam profile ↗✓ No bans

1,784Tracked matches53%Win rate2020Tracked since
CSDB Rating4.6 Developing
Premier CS Rating18,098Purple band · top ~16.1% of ranked players (population est.)
CSDB Leaderboard#27619 of 57865 tracked
Ladder ranks via Leetify

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CSDB.GGimba™PREMIER18,098 · Purple bandcsdb.gg/stats

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Performance scores

Aim47
Positioning44
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY59392Last 10059%Win rateWWLLWWLLLW

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

Player DNA

Aim4.7
Aggression3.6
Utility5.0
Positioning4.4
Opening Duels0.2
Clutch2.4

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 75% 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

Reaction time. 632ms 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

Aim4.7
Positioning4.4
Utility5.0
Mechanics5.8
Opening Duels0.5
Win Impact6.1

Composite 4.6/10 (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 rating-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time633ms−28ms
first ⅓ avg 661ms → last ⅓ avg 633ms
Headshot accuracy19.3%+1.4%
first ⅓ avg 17.9% → last ⅓ avg 19.3%

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

0.07Best rating — dust2 13–1
130Biggest win — ancient
7Longest win streak
W2Current streak
127In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 79% over 14nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2S1913668%-0.02
infernoB189950%-0.05
ancientS1411379%-0.02
anubisA138562%-0.01
cacheA127558%-0.04
nukeC83538%-0.04
mirageB63350%-0.03
overpass43175%-0.03
vertigo2020%-0.05
fachwerk1010%-0.03
shelter110100%-0.03
alpine1010%-0.06
train110100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

585Matches
49%Win rate
0.77Avg K/D
63.2ADR
46%Headshot %

Clutches & streaks

32%1v1 clutch win
8%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis10351%0.8112.2
Inferno10053%0.7011.8
Ancient7845%0.7812.2
Dust25951%0.8312.5
Mirage5850%0.7312.1
Vertigo2654%0.7013.3
Nuke1844%0.7812.7
Overpass1369%0.7311.8

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.

19.9%Headshot accuracy
29.0%Accuracy (enemy spotted)
27.7%Spray accuracy
76.0%Counter-strafing
10.5°Preaim
632msReaction time
27.2%T opening success
34.3%CT opening success
0.56Enemies flashed / flash
4.0%Flash assists
7.42HE damage / grenade
7.32Flashes / 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 27.2138% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno16–14-0.0932%25 Aug
ancient13–0-0.055%23 Aug
dust211–13-0.0123%23 Aug
anubis6–13-0.0324%23 Aug
cache13–5-0.0210%8 Aug
nuke13–11-0.1122%8 Aug
dust27–13-0.0311%30 Jul
ancient8–13-0.0217%30 Jul
inferno9–13-0.0124%30 Jul
inferno13–11-0.0024%29 Jul
ancient16–120.0121%29 Jul
dust213–10.0721%29 Jul
anubis13–9-0.0518%27 Jul
cache6–13-0.0620%27 Jul
ancient13–7-0.0125%27 Jul
inferno7–13-0.0443%26 Jul
ancient13–9-0.0027%16 Jul
mirage10–13-0.0529%16 Jul
dust213–10.0427%16 Jul
nuke10–130.0013%15 Jul
dust213–7-0.0113%15 Jul
anubis13–6-0.0712%15 Jul
ancient13–4-0.0217%13 Jul
inferno11–13-0.0825%13 Jul
anubis9–13-0.0015%10 Jul
inferno2–13-0.1216%10 Jul
cache13–11-0.059%10 Jul
ancient9–13-0.039%10 Jul
fachwerk10–13-0.0319%9 Jul
shelter13–5-0.0318%9 Jul
vertigo8–13-0.0612%8 Jul
overpass13–8-0.0323%8 Jul
alpine10–13-0.0615%8 Jul
train13–5-0.0319%8 Jul
mirage13–7-0.058%8 Jul
dust28–13-0.0220%8 Jul
anubis16–13-0.0222%7 Jul
dust28–13-0.1029%7 Jul
inferno13–9-0.0311%7 Jul
cache13–11-0.0721%7 Jul
overpass13–16-0.0324%3 Jul
cache13–11-0.0326%2 Jul
dust213–110.0118%11 Jun
nuke10–130.0230%11 Jun
dust213–5-0.0719%8 Jun
dust213–8-0.0414%6 Jun
mirage16–14-0.0113%6 Jun
overpass13–8-0.0120%5 Jun
inferno13–10-0.0318%5 Jun
inferno13–11-0.0316%5 Jun
dust213–10-0.0520%30 May
inferno9–13-0.0115%29 May
anubis13–80.0119%29 May
dust213–50.0021%29 May
nuke11–13-0.0221%29 May
dust216–12-0.0511%29 May
inferno6–13-0.0910%29 May
ancient13–7-0.0421%28 May
anubis13–5-0.0215%27 May
ancient13–6-0.0011%27 May
vertigo11–13-0.0515%27 May
anubis8–10.0212%27 May
anubis9–13-0.0418%27 May
ancient13–40.0321%26 May
mirage14–16-0.0717%26 May
inferno13–3-0.0619%26 May
cache13–16-0.0812%26 May
anubis13–40.0315%25 May
dust213–16-0.025%25 May
inferno16–14-0.0513%25 May
ancient13–50.0215%24 May
inferno16–14-0.0117%23 May
dust216–12-0.0820%22 May
inferno8–13-0.0314%22 May
overpass13–10-0.0414%22 May
inferno13–10-0.0116%22 May
anubis12–16-0.0320%21 May
inferno11–13-0.0116%21 May
mirage13–16-0.0417%21 May
nuke13–16-0.0523%21 May
nuke13–8-0.0126%20 May
anubis9–13-0.0117%20 May
ancient13–100.0117%19 May
dust214–160.0217%19 May
dust213–6-0.0324%18 May
anubis13–50.0310%14 May
ancient1–7-0.090%13 May
cache5–13-0.0617%13 May
cache13–11-0.0821%6 May
cache12–120.0224%6 May
cache5–13-0.0636%6 May
inferno15–15-0.0918%5 May
dust213–8-0.0327%5 May
nuke13–7-0.0919%5 May
nuke9–13-0.0725%5 May
dust213–5-0.0318%5 May
mirage13–20.0212%29 Apr
cache13–5-0.0120%29 Apr
cache13–80.0117%29 Apr
ancient13–6-0.0225%29 Apr

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 →