Idealles — CS2 Stats

76561198336811509[U:1:376545781]

967Tracked matches45%Win rate2020Tracked since
CSDB Rating4.0 Developing
Ladder ranks via Leetify

Performance scores

Aim50
Positioning40
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY53416Last 10053%Win rateWWWWLLWTLL

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

Player DNA

Aim5.0
Aggression2.7
Utility4.1
Positioning4.0
Opening Duels0.1

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: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.0
Positioning4.0
Utility4.1
Mechanics4.4
Opening Duels0.5
Win Impact3.3

Composite 4.0/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time621ms−7ms
first ⅓ avg 627ms → last ⅓ avg 621ms
Headshot accuracy18.4%−1.7%
first ⅓ avg 20.1% → last ⅓ avg 18.4%

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

0.19Best rating — vertigo 13–1
130Biggest win — alpine
6Longest win streak
W4Current streak
65In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 68% over 25officeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S2517868%-0.02
mirageA23131057%-0.04
infernoC1661038%-0.03
nukeC94544%-0.04
officeD72529%-0.05
cacheA74357%-0.04
vertigoA53260%0.06
ancient32167%-0.01
anubis3030%-0.05
stronghold110100%-0.00
alpine110100%0.01

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.

18.3%Headshot accuracy
28.9%Accuracy (enemy spotted)
37.0%Spray accuracy
69.8%Counter-strafing
9.9°Preaim
623msReaction time
27.5%T opening success
33.7%CT opening success
0.75Enemies flashed / flash
5.4%Flash assists
6.35HE damage / grenade
3.22Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2191 — below the 4 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 27.4552% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–3-0.0410%23 Aug
dust213–9-0.0531%23 Aug
mirage13–10-0.0828%16 Aug
dust213–80.0318%16 Aug
vertigo8–130.0316%13 Aug
office10–13-0.0413%13 Aug
inferno13–4-0.0213%1 Aug
office12–12-0.0521%29 Jul
vertigo11–13-0.0216%29 Jul
office5–13-0.0214%15 Jul
inferno13–100.0321%30 Jun
dust211–13-0.0824%25 Jun
office11–13-0.0415%16 Jun
inferno6–13-0.1031%13 Jun
mirage7–13-0.1019%13 Jun
dust213–30.0517%13 Jun
dust24–13-0.0622%3 Jun
office1–13-0.0840%3 Jun
ancient13–5-0.0127%28 May
office13–4-0.070%28 May
dust213–8-0.063%28 May
inferno13–5-0.0116%27 May
dust22–13-0.1111%27 May
cache5–13-0.0419%27 May
mirage9–13-0.0115%22 May
dust213–6-0.047%22 May
ancient9–130.0023%22 May
inferno9–13-0.0431%22 May
dust23–13-0.1211%21 May
mirage13–11-0.0616%21 May
cache13–100.0222%20 May
dust28–13-0.0322%20 May
mirage8–13-0.0219%20 May
nuke7–13-0.0416%20 May
dust213–60.0310%20 May
ancient13–11-0.0318%18 May
dust213–30.0638%18 May
mirage13–40.0121%18 May
inferno10–130.0018%14 May
cache13–7-0.0420%13 May
office13–4-0.0633%13 May
dust213–10-0.0019%13 May
mirage13–11-0.0819%13 May
cache13–11-0.0214%13 May
mirage13–9-0.0011%8 May
dust215–15-0.0713%8 May
inferno7–130.0017%8 May
stronghold13–2-0.0026%7 May
alpine13–00.0129%7 May
mirage13–110.0419%7 May
dust213–20.1516%7 May
nuke9–13-0.0223%6 May
vertigo7–10.1315%6 May
cache11–13-0.0715%6 May
mirage8–13-0.0321%6 May
inferno12–12-0.0619%6 May
nuke10–13-0.0612%1 May
inferno15–15-0.0218%1 May
mirage11–13-0.0214%29 Apr
cache13–7-0.0426%29 Apr
dust213–5-0.0219%29 Apr
mirage13–11-0.0533%29 Apr
cache3–13-0.099%29 Apr
mirage13–7-0.0210%28 Apr
dust23–13-0.1029%28 Apr
mirage13–4-0.0222%28 Apr
inferno13–5-0.0124%28 Apr
inferno13–8-0.0031%26 Apr
dust213–10-0.0413%23 Apr
inferno13–8-0.0225%22 Apr
inferno7–130.0228%22 Apr
dust29–130.0220%22 Apr
inferno9–13-0.0828%17 Apr
inferno12–12-0.0218%15 Apr
nuke9–3-0.070%15 Apr
mirage8–13-0.0710%15 Apr
mirage12–16-0.0531%15 Apr
dust213–5-0.0417%15 Apr
mirage13–4-0.0119%13 Apr
nuke13–5-0.0236%10 Apr
nuke8–13-0.0826%10 Apr
dust213–80.0023%10 Apr
vertigo13–10.1913%6 Apr
mirage13–7-0.0723%6 Apr
dust213–2-0.0044%6 Apr
nuke13–9-0.0222%6 Apr
mirage7–13-0.1115%29 Mar
anubis15–15-0.0215%28 Mar
mirage13–10-0.0515%27 Mar
anubis7–13-0.097%27 Mar
nuke10–13-0.0823%27 Mar
inferno7–13-0.0922%27 Mar
mirage10–13-0.0128%27 Mar
mirage13–8-0.0516%27 Mar
nuke13–70.0114%27 Mar
dust213–100.0219%25 Mar
dust213–10-0.0120%25 Mar
mirage9–13-0.0217%25 Mar
anubis7–13-0.0314%25 Mar
dust213–8-0.0511%25 Mar

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 →