irasee

irasee — CS2 Stats

IN76561198160762249[U:1:200496521]Steam profile ↗✓ No bans

2,714Tracked matches50%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating21,626Top 50% of 205,416 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#59369 of 252487 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,626 +21 2 Aug – 14 Oct · 15 days played
21,29822,648peak 22,6482 Aug14 Oct
23,104Peak Premier in tracked matches
43Days played since 2026-07-29

Premier CS Rating

  • 1,022 below peak (22,648)
  • -419 over 30 days · declining
  • Next: Red band at 25,000 — 3,374 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-07
  • Purple band first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGiraseePREMIER21,626 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning57
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY42–57–1Last 10042%Win rateLWLLLLWWLW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +6.4pp headshot accuracy · −114ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 466ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 479ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim7.1
Utility5.8
Positioning5.7
Opening Duels3.3
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

CSDB Rating breakdown

Aim7.1
Positioning5.7
Utility5.8
Mechanics4.9
Opening Duels4.7
Win Impact5.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time537ms−18ms
first ⅓ avg 556ms → last ⅓ avg 537ms
Headshot accuracy20.7%+0.3%
first ⅓ avg 20.4% → last ⅓ avg 20.7%

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.

Personal bests

0.17Best match rating · 9–13 · fachwerk, 18 Aug →
67%Best headshot accuracy · 0–13 · inferno, 14 Oct →
313msFastest reaction time · 8–8 · inferno, 29 Sept →
13–1Biggest win · inferno, 10 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–12In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 83% over 6nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2D165–1131%-0.01
mirageC167–944%-0.00
infernoA159–660%0.00
cacheD124–833%-0.02
nukeD92–722%-0.02
ancientS65–183%0.01
trainA53–260%0.03
anubis—42–250%-0.00
vertigo—40–40%-0.01
fachwerk—40–40%0.04
boulder—32–167%0.04
office—20–20%-0.05
shelter—11–0100%0.03
debris—10–10%-0.15
poseidon—11–0100%-0.04
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

998Matches
52%Win rate
1.16Avg K/D
79.4ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
16%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7662%1.0716.3
Inferno5050%1.0215.0
Anubis4461%1.2217.0
Dust21953%0.9314.4
Nuke1759%1.0314.0
Ancient933%1.0415.1
Vertigo633%1.1415.7
Train450%1.3420.3

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.

18.8%Headshot accuracy
34.9%Accuracy (enemy spotted)
37.8%Spray accuracy
72.1%Counter-strafing
9.5°Preaim
537msReaction time
55.7%T opening success
42.0%CT opening success
0.51Enemies flashed / flash
7.5%Flash assists
11.91HE damage / grenade
11.93Flashes / match

Recommended for you

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno0–13-0.0467%14 Oct →
dust216–130.0317%14 Oct →
anubis10–130.0310%5 Oct →
mirage9–13-0.0215%30 Sept →
inferno8–8-0.0219%29 Sept →
dust29–130.0131%28 Sept →
dust213–7-0.0124%23 Sept →
mirage13–60.0224%21 Sept →
vertigo9–13-0.0423%17 Sept →
inferno13–30.1116%17 Sept →
inferno9–00.0938%14 Sept →
anubis13–11-0.0021%14 Sept →
mirage1–13-0.040%14 Sept →
ancient13–8-0.036%14 Sept →
vertigo9–130.0217%13 Sept →
dust213–6-0.0122%13 Sept →
mirage13–6-0.1027%13 Sept →
ancient7–13-0.0311%11 Sept →
cache13–50.0313%11 Sept →
mirage13–110.0128%10 Sept →
inferno13–90.0021%10 Sept →
dust21–13-0.0121%9 Sept →
anubis7–10.0319%9 Sept →
vertigo8–13-0.0216%9 Sept →
cache8–13-0.0525%9 Sept →
mirage13–80.0615%9 Sept →
inferno9–13-0.058%9 Sept →
office6–13-0.0519%9 Sept →
ancient13–60.0812%8 Sept →
dust213–9-0.0221%8 Sept →
cache11–13-0.0713%8 Sept →
nuke7–130.0438%8 Sept →
fachwerk12–12-0.0127%8 Sept →
train13–11-0.0117%8 Sept →
nuke13–7-0.0514%4 Sept →
cache8–7-0.0619%3 Sept →
mirage7–13-0.0617%3 Sept →
dust29–130.0532%2 Sept →
cache6–130.0116%1 Sept →
mirage11–130.0319%1 Sept →
cache13–40.0318%30 Aug →
nuke11–13-0.0528%29 Aug →
inferno10–13-0.0411%29 Aug →
cache11–13-0.0629%28 Aug →
vertigo3–13-0.0124%28 Aug →
train13–60.1213%28 Aug →
nuke4–13-0.035%28 Aug →
inferno3–13-0.0228%27 Aug →
mirage9–130.0226%27 Aug →
dust21–13-0.0127%27 Aug →
anubis2–13-0.0618%26 Aug →
train8–130.0424%26 Aug →
inferno13–50.0114%25 Aug →
boulder13–80.0914%24 Aug →
office8–13-0.0530%23 Aug →
nuke8–13-0.047%23 Aug →
cache1–13-0.0432%21 Aug →
fachwerk10–130.0825%21 Aug →
shelter6–00.0318%21 Aug →
nuke13–110.0331%21 Aug →
mirage13–110.0121%21 Aug →
nuke4–9-0.0519%21 Aug →
fachwerk4–13-0.0717%20 Aug →
inferno13–90.0222%20 Aug →
dust213–9-0.0218%20 Aug →
debris3–9-0.1514%20 Aug →
nuke11–13-0.0114%20 Aug →
fachwerk9–130.1718%18 Aug →
boulder7–13-0.0222%18 Aug →
boulder13–30.0719%18 Aug →
dust21–130.0114%18 Aug →
dust26–7-0.1029%17 Aug →
mirage8–13-0.017%17 Aug →
cache6–13-0.0417%16 Aug →
ancient13–8-0.0132%16 Aug →
poseidon9–4-0.0416%14 Aug →
train13–110.0413%13 Aug →
overpass13–3-0.0350%13 Aug →
train12–12-0.0128%12 Aug →
mirage9–13-0.0218%11 Aug →
dust29–13-0.0128%10 Aug →
dust210–130.0121%10 Aug →
ancient13–90.048%10 Aug →
nuke8–13-0.0219%10 Aug →
mirage11–13-0.0113%10 Aug →
cache13–2-0.0224%10 Aug →
dust22–13-0.0914%10 Aug →
inferno13–1-0.0721%10 Aug →
inferno13–90.0327%10 Aug →
inferno9–7-0.0427%5 Aug →
dust25–6-0.0314%4 Aug →
cache8–13-0.0522%3 Aug →
inferno13–70.024%2 Aug →
dust25–13-0.0211%31 Jul →
inferno8–130.0321%31 Jul →
mirage11–130.0425%31 Jul →
mirage16–140.0418%30 Jul →
ancient13–60.0310%30 Jul →
cache13–100.0136%29 Jul →
mirage13–9-0.0226%29 Jul →

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 →

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