Irenchenx3

Irenchenx3 — CS2 Stats

DE76561198114943616[U:1:154677888]Steam profile ↗

1,346Tracked matches37%Win rate2020Tracked since
2,165Hours in CS
CSDB Rating2.4 Learning
Premier CS Rating7,569Light Blue band · top ~66.5% of ranked players (population est.)
CSDB Leaderboard#41520 of 55647 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate29.4%39.7%41.4%12.0% short
Shot accuracy11.4%6.7%9.0%above
Kill/death ratio0.710.910.970.26 short
Match win rate38.1%42.1%43.7%5.6% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGIrenchenx3PREMIER7,569 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim36
Positioning32
Utility28

0–100 skill scores via Leetify.

Recent form

COLD40555Last 10040%Win rateLWLLLWLLWL

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

Player DNA

Aim3.6
Aggression1.2
Utility2.8
Positioning3.2
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 61% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim3.6
Positioning3.2
Utility2.8
Mechanics3.4
Opening Duels0.0
Win Impact0.6

Composite 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time636ms+4ms
first ⅓ avg 632ms → last ⅓ avg 636ms
Headshot accuracy9.4%−0.1%
first ⅓ avg 9.5% → last ⅓ avg 9.4%

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

0.07Best rating — dust2 13–11
130Biggest win — ancient
7Longest win streak
69In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 54% over 13anubisWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B31161552%-0.02
infernoC1761135%-0.03
anubisD1431121%-0.05
ancientB137654%-0.04
cacheC114736%-0.03
mirageD93633%-0.06
nuke41325%-0.04
overpass1010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,658Lifetime kills
0.71K/D
6,513Matches
38.1%Match win rate
29.4%Headshot %
11.4%Shot accuracy · Top 50% of Light Blue band
7,629MVPs
2,165Hours (in match)
3,957Bombs planted
823Bombs defused

Most-used weapons

Galil AR16,920
AK-475,258
MP73,568
SG 5532,887
FAMAS2,728
MP91,627
P901,539

Lifetime map wins

12,414office
6,162inferno
5,663dust2
5,237nuke
960train
558vertigo
225lake
146cbble

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.

9.4%Headshot accuracy
33.4%Accuracy (enemy spotted)
33.0%Spray accuracy
65.2%Counter-strafing
10.2°Preaim
633msReaction time
22.8%T opening success
24.1%CT opening success
0.42Enemies flashed / flash
2.9%Flash assists
7.30HE damage / grenade
2.88Flashes / 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. 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 9.3927% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4204 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 22.7936% — below the 40% mark we flag

Spend your practice time on Anubis

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0414%30 Aug
ancient13–7-0.058%30 Aug
ancient7–13-0.099%30 Aug
anubis5–13-0.064%30 Aug
anubis3–13-0.075%23 Aug
cache13–30.026%23 Aug
ancient1–13-0.1011%23 Aug
mirage10–13-0.0713%19 Aug
mirage13–11-0.024%19 Aug
dust28–130.0611%19 Aug
cache16–12-0.0014%18 Aug
dust211–13-0.039%18 Aug
inferno10–13-0.079%18 Aug
ancient5–13-0.0912%17 Aug
inferno11–13-0.065%17 Aug
dust216–130.0513%17 Aug
anubis9–13-0.037%14 Aug
cache11–13-0.0410%14 Aug
dust213–2-0.0813%14 Aug
dust213–10-0.0114%14 Aug
inferno10–13-0.072%11 Aug
cache4–13-0.119%11 Aug
dust213–9-0.0111%11 Aug
dust216–120.028%11 Aug
ancient10–13-0.056%10 Aug
dust24–13-0.027%10 Aug
anubis11–13-0.057%10 Aug
ancient13–10-0.027%10 Aug
dust214–16-0.0212%9 Aug
dust213–100.0117%9 Aug
ancient13–0-0.0314%9 Aug
ancient13–11-0.0511%9 Aug
cache13–50.048%9 Aug
dust213–9-0.0211%9 Aug
mirage13–8-0.088%6 Aug
inferno16–14-0.129%6 Aug
cache9–13-0.0518%6 Aug
inferno16–130.018%6 Aug
dust26–13-0.0710%2 Aug
ancient13–10-0.0111%2 Aug
anubis8–13-0.0910%1 Aug
cache8–13-0.049%1 Aug
nuke5–13-0.037%1 Aug
anubis2–13-0.073%1 Aug
dust24–13-0.113%1 Aug
dust213–8-0.049%1 Aug
inferno16–13-0.027%1 Aug
nuke13–2-0.067%1 Aug
dust27–13-0.0420%1 Aug
inferno13–80.047%1 Aug
mirage3–13-0.029%1 Aug
cache5–13-0.046%1 Aug
ancient9–13-0.027%1 Aug
mirage13–16-0.090%27 Jul
dust215–15-0.0512%27 Jul
mirage5–13-0.056%27 Jul
dust213–9-0.0017%26 Jul
mirage9–13-0.0510%26 Jul
dust28–13-0.102%26 Jul
anubis13–11-0.074%26 Jul
cache13–100.0115%16 Jul
anubis9–13-0.036%16 Jul
anubis13–8-0.036%16 Jul
cache3–13-0.069%16 Jul
dust28–13-0.0211%15 Jul
anubis6–13-0.0610%15 Jul
dust216–130.0015%15 Jul
inferno1–13-0.088%14 Jul
dust213–90.0416%14 Jul
dust210–13-0.0012%14 Jul
anubis11–13-0.012%14 Jul
inferno13–5-0.016%14 Jul
nuke5–13-0.065%14 Jul
mirage13–11-0.0611%13 Jul
inferno8–13-0.0329%13 Jul
cache15–15-0.086%10 Jul
dust213–5-0.026%10 Jul
dust213–8-0.0410%10 Jul
anubis13–50.0116%9 Jul
inferno13–9-0.018%9 Jul
inferno11–13-0.049%9 Jul
overpass13–16-0.058%1 Jul
dust24–13-0.043%1 Jul
dust213–100.033%28 Jun
inferno6–13-0.077%28 Jun
ancient15–15-0.005%28 Jun
inferno15–15-0.038%28 Jun
inferno3–130.0712%24 Jun
dust211–130.0110%24 Jun
anubis3–13-0.0216%24 Jun
mirage15–15-0.0712%24 Jun
dust26–13-0.0211%24 Jun
nuke11–13-0.027%22 Jun
ancient13–10-0.069%22 Jun
dust213–110.076%22 Jun
dust213–9-0.0618%22 Jun
anubis5–13-0.065%21 Jun
inferno12–16-0.055%21 Jun
ancient13–40.019%21 Jun
inferno6–13-0.0513%21 Jun

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 →