Irijun

Irijun — CS2 Stats

76561198294105449[U:1:333839721]Steam profile ↗VAC banned

2,756Tracked matches37%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGIrijunFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning54
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY44–56Last 10044%Win rateWWLLLLWWWL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +2.2pp headshot accuracy · +89ms reaction

Win rate up 20pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 669ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 638ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 593ms

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 (+1.5 against its own average).

Aim7.5
Utility5.8
Positioning5.4
Opening Duels2.4
Clutch3.8

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

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 599ms 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

Aim7.5
Positioning5.4
Utility5.8
Mechanics7.1
Opening Duels2.1
Win Impact0.6

Composite 5.5/10 (Solid), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time598ms+69ms
first ⅓ avg 529ms → last ⅓ avg 598ms
Headshot accuracy21.4%+1.5%
first ⅓ avg 19.9% → last ⅓ avg 21.4%

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.

Personal bests

0.08Best match rating · 13–2 · mirage, 30 Jan →
58%Best headshot accuracy · 13–8 · mirage, 9 Feb →
406msFastest reaction time · 11–13 · anubis, 16 Dec →
13–1Biggest win · train, 15 Jan →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
11–16In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 56% over 16dust2Weakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
mirageC229–1341%0.00
dust2D185–1328%-0.00
anubisC187–1139%-0.00
ancientA169–756%-0.00
nukeC156–940%-0.01
inferno—43–175%0.03
train—44–0100%0.01
overpass—21–150%-0.02
vertigo—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,715Matches
51%Win rate
1.16Avg K/D
86.2ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust222947%1.2017.9
Mirage22548%1.1217.9
Ancient20149%1.1517.7
Anubis15956%1.1217.0
Nuke6844%1.2418.9
Inferno2157%1.1918.8
Train1861%1.1317.1
Vertigo1331%0.9515.1

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.

21.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
34.9%Spray accuracy
82.1%Counter-strafing
8.5°Preaim
599msReaction time
31.0%T opening success
45.5%CT opening success
0.66Enemies flashed / flash
6.5%Flash assists
4.81HE damage / grenade
9.64Flashes / 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 30.9506% — below the 40% mark we flag

Spend your practice time on Dust 2

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0314%7 Aug →
mirage22–180.0127%6 Aug →
dust211–13-0.0133%6 Aug →
overpass6–13-0.066%31 Jul →
ancient11–13-0.0625%30 Jul →
nuke6–13-0.0220%25 Jul →
mirage13–50.0336%24 Jul →
mirage13–110.0431%24 Jul →
ancient13–100.0623%16 Jun →
anubis12–16-0.0217%6 Jun →
anubis13–40.0727%6 Jun →
dust29–13-0.0225%2 Jun →
ancient8–13-0.0516%17 May →
nuke17–190.0325%16 May →
mirage9–13-0.0114%9 May →
ancient7–130.0523%5 May →
nuke11–130.0116%21 Apr →
nuke9–13-0.0315%20 Apr →
mirage19–17-0.0020%20 Apr →
dust213–11-0.0629%19 Apr →
anubis11–130.0221%22 Mar →
dust213–160.0625%20 Mar →
anubis13–11-0.0329%23 Feb →
mirage12–160.0123%17 Feb →
nuke13–90.0020%13 Feb →
mirage9–12-0.0618%13 Feb →
dust213–110.0214%12 Feb →
mirage14–16-0.0318%12 Feb →
mirage12–16-0.0110%12 Feb →
mirage6–13-0.0324%12 Feb →
anubis11–130.0314%11 Feb →
dust22–13-0.0744%11 Feb →
anubis9–130.039%11 Feb →
mirage13–8-0.0158%9 Feb →
nuke16–130.0015%9 Feb →
anubis6–13-0.0716%9 Feb →
inferno13–60.0719%3 Feb →
mirage11–13-0.0213%2 Feb →
mirage13–20.0813%30 Jan →
mirage6–13-0.0414%27 Jan →
mirage13–7-0.0118%25 Jan →
dust29–130.0227%23 Jan →
nuke9–13-0.0218%22 Jan →
mirage13–90.0527%22 Jan →
dust213–20.057%21 Jan →
anubis5–13-0.0420%19 Jan →
mirage11–13-0.0415%17 Jan →
nuke13–40.0615%16 Jan →
overpass13–50.0323%15 Jan →
train13–1-0.0022%15 Jan →
anubis8–130.0515%8 Jan →
dust24–13-0.0718%8 Jan →
dust23–13-0.038%5 Jan →
anubis13–9-0.0411%5 Jan →
ancient13–110.0111%4 Jan →
dust28–13-0.0621%1 Jan →
anubis16–13-0.0014%1 Jan →
ancient19–17-0.0114%1 Jan →
train13–8-0.0219%27 Dec →
nuke13–110.0420%24 Dec →
dust27–13-0.0713%23 Dec →
nuke10–13-0.0416%22 Dec →
ancient16–14-0.0011%21 Dec →
dust211–13-0.0425%18 Dec →
ancient13–100.0111%16 Dec →
anubis11–130.0024%16 Dec →
anubis13–40.012%16 Dec →
mirage7–130.0111%15 Dec →
nuke16–19-0.0313%14 Dec →
train13–90.0318%12 Dec →
nuke9–13-0.0617%3 Dec →
ancient8–13-0.075%23 Nov →
mirage9–13-0.0042%22 Nov →
inferno16–12-0.0122%20 Nov →
ancient13–9-0.0212%19 Nov →
mirage9–13-0.0034%19 Nov →
train13–60.0324%18 Nov →
ancient8–130.0715%18 Nov →
ancient13–110.0018%15 Nov →
mirage3–13-0.0122%15 Nov →
anubis19–16-0.0017%13 Nov →
ancient11–13-0.0416%22 Oct →
anubis13–80.0318%17 Oct →
vertigo10–13-0.0619%14 Oct →
mirage13–60.0816%12 Oct →
inferno4–13-0.0315%6 Oct →
anubis11–13-0.0314%6 Oct →
nuke14–16-0.0122%5 Oct →
anubis7–130.0215%5 Oct →
dust210–130.0740%3 Oct →
nuke13–100.0419%23 Sept →
ancient13–40.0312%18 Sept →
dust211–130.0621%18 Sept →
dust29–130.0737%17 Sept →
inferno13–80.0828%16 Sept →
dust213–70.0824%5 Sept →
ancient11–130.0615%3 Sept →
anubis8–13-0.039%3 Sept →
nuke5–3-0.0423%29 Aug →
ancient13–9-0.0225%28 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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