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iro plushie — CS2 Stats

76561199118229715[U:1:1157963987]✓ No bans

394Tracked matches52%Win rate2025Tracked since
218Hours in CS
CSDB Rating2.7 Learning
Ladder ranks via Leetify

Performance scores

Aim9
Positioning38
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY40–51–9Last 10040%Win rateLWLWWTWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim0.9
Aggression2.6
Utility2.6
Positioning3.8
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 63% 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

Areas to improve

Reaction time. 792ms 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

Aim0.9
Positioning3.8
Utility2.6
Mechanics4.7
Opening Duels0.0
Win Impact5.6

Composite 2.7/10 (Learning), 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-0.05+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time792ms+25ms
first ⅓ avg 767ms → last ⅓ avg 792ms
Headshot accuracy12.6%+1.7%
first ⅓ avg 10.9% → last ⅓ avg 12.6%

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 — office 13–8
13–2Biggest win — office
3Longest win streak
7–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 67% over 9overpassWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
vertigoC145–936%-0.09
officeB136–746%-0.05
overpassD122–1017%-0.06
mirageS96–367%-0.04
nukeC94–544%-0.05
anubisA85–363%-0.06
cacheD62–433%-0.07
dust2S64–267%-0.07
trainA53–260%-0.06
inferno—42–250%-0.05
ancient—30–30%-0.04
alpine—20–20%-0.09
poseidon—20–20%-0.15
agency—20–20%-0.13
fachwerk—11–0100%-0.07
stronghold—10–10%-0.10
sanctum—10–10%-0.12
warden—10–10%-0.03
italy—10–10%-0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,930Lifetime kills
1.18K/D · Top 25% of tracked players
977Matches
36.5%Match win rate
42.7%Headshot %
2.9%Shot accuracy
1,922MVPs
218Hours (in match)
882Bombs planted
311Bombs defused

Most-used weapons

AK-472,715
M4A4 / M4A1-S2,143
AWP906
Desert Eagle797
P2000 / USP-S659
MP9588
Glock-18469
Galil AR466
AUG437
MAC-10426

Lifetime map wins

856vertigo
832dust2
529nuke
401inferno
373office
324train
57italy
57ar_baggage

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

Skill profile

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

11.9%Headshot accuracy
23.7%Accuracy (enemy spotted)
25.5%Spray accuracy
71.0%Counter-strafing
13.5°Preaim
792msReaction time
24.0%T opening success
25.9%CT opening success
0.45Enemies flashed / flash
2.5%Flash assists
2.73HE damage / grenade
4.35Flashes / 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 13.4962° — 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 11.9003% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 791.785ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Overpass

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0913%27 Aug →
mirage13–9-0.027%24 Aug →
vertigo10–13-0.089%23 Aug →
mirage13–11-0.017%23 Aug →
fachwerk13–11-0.079%18 Aug →
mirage12–12-0.0514%18 Aug →
train13–3-0.0511%16 Aug →
train13–8-0.058%16 Aug →
inferno7–13-0.037%3 Jul →
dust213–8-0.0623%3 Jul →
cache5–13-0.0811%1 Jul →
cache13–40.015%1 Jul →
office13–80.079%29 Jun →
cache13–7-0.070%29 Jun →
mirage12–12-0.0718%28 Jun →
vertigo9–6-0.2020%16 Jun →
cache10–13-0.1012%16 Jun →
mirage13–5-0.0710%15 Jun →
nuke3–13-0.035%15 Jun →
cache5–13-0.078%10 Jun →
mirage11–130.0324%5 Apr →
anubis13–4-0.0130%5 Apr →
office9–13-0.039%1 Apr →
anubis13–5-0.064%1 Apr →
nuke13–11-0.0712%30 Mar →
nuke11–13-0.0323%29 Mar →
dust28–13-0.0521%29 Mar →
vertigo7–13-0.1012%29 Mar →
mirage11–10-0.0617%27 Mar →
ancient7–13-0.023%27 Mar →
nuke12–12-0.0012%25 Mar →
overpass6–13-0.0820%25 Mar →
vertigo7–13-0.1026%23 Mar →
office11–13-0.118%23 Mar →
train13–7-0.0211%22 Mar →
office3–13-0.0919%22 Mar →
nuke2–13-0.0515%22 Mar →
office13–8-0.0921%18 Mar →
vertigo12–12-0.118%17 Mar →
overpass4–13-0.0517%17 Mar →
overpass2–13-0.1219%17 Mar →
overpass4–13-0.0514%17 Mar →
overpass8–13-0.123%17 Mar →
inferno9–4-0.0315%19 Feb →
ancient3–13-0.048%19 Feb →
alpine8–13-0.1210%11 Feb →
inferno5–13-0.0813%10 Feb →
vertigo13–8-0.083%10 Feb →
office13–5-0.107%10 Feb →
anubis12–12-0.0712%6 Feb →
vertigo10–13-0.0817%6 Feb →
poseidon6–9-0.140%5 Feb →
anubis8–13-0.0815%5 Feb →
dust213–11-0.0512%1 Feb →
dust25–13-0.109%29 Jan →
vertigo13–6-0.087%28 Jan →
overpass7–13-0.090%28 Jan →
vertigo12–12-0.046%28 Jan →
anubis13–10-0.097%28 Jan →
stronghold7–13-0.1024%27 Jan →
office6–13-0.030%27 Jan →
sanctum4–9-0.120%26 Jan →
poseidon3–9-0.170%26 Jan →
warden10–13-0.0319%26 Jan →
alpine11–13-0.0617%23 Jan →
office11–2-0.015%22 Jan →
office13–2-0.0419%21 Jan →
office8–13-0.067%21 Jan →
anubis13–5-0.110%20 Jan →
nuke13–4-0.050%19 Jan →
overpass3–13-0.0111%18 Jan →
ancient1–13-0.0524%18 Jan →
anubis5–2-0.028%18 Jan →
office1–13-0.1217%15 Jan →
agency4–13-0.1311%15 Jan →
nuke13–5-0.047%15 Jan →
overpass13–60.0517%15 Jan →
overpass13–2-0.0517%15 Jan →
anubis12–12-0.076%13 Jan →
agency10–13-0.1213%13 Jan →
office13–11-0.0611%13 Jan →
dust216–13-0.0716%12 Jan →
nuke9–13-0.0913%7 Jan →
vertigo12–12-0.040%7 Jan →
train7–13-0.1216%6 Jan →
train8–13-0.0612%6 Jan →
overpass9–13-0.0810%22 Dec →
overpass6–13-0.0410%19 Dec →
vertigo13–10-0.0911%19 Dec →
vertigo4–12-0.0810%19 Dec →
dust213–7-0.087%17 Dec →
vertigo8–13-0.119%17 Dec →
inferno13–3-0.055%16 Dec →
nuke13–9-0.0712%16 Dec →
italy8–13-0.0610%16 Dec →
vertigo13–9-0.0724%16 Dec →
overpass5–13-0.084%16 Dec →
office12–12-0.039%14 Dec →
mirage13–5-0.0329%14 Dec →
mirage13–11-0.067%14 Dec →

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 →

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