Imrane03

Imrane03 — CS2 Stats

RO76561198354703293[U:1:394437565]Steam profile ↗✓ No bans

560Tracked matches45%Win rate2021Tracked since
2,161Hours in CS2Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,888 -2,625 20 Mar – 8 May · 14 days played
13,52320,950peak 20,95020 Mar8 May
20,950Peak Premier in tracked matches
35Days played since 2026-03-20

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

Performance scores

Aim59
Positioning66
Utility22

0–100 skill scores via Leetify.

Recent form

COLD54–43–3Last 10054%Win rateLLLWTLLLLW

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · +4.7pp headshot accuracy · −53ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 653ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 636ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 663ms

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: Positional Player — Positioning stands above the rest of this profile (+3.4 against its own average).

Aim5.9
Utility2.2
Positioning6.6
Opening Duels3.8
Clutch0.0

Limited utility dependence

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

donk

Plays most like donk 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 640ms 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

Aim5.9
Positioning6.6
Utility2.2
Mechanics4.9
Opening Duels4.9
Win Impact3.3

Composite 5.0/10 (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 rating0.04+0.06
first ⅓ avg -0.02 → last ⅓ avg 0.04
Reaction time657ms−40ms
first ⅓ avg 697ms → last ⅓ avg 657ms
Headshot accuracy20.8%+5.5%
first ⅓ avg 15.3% → last ⅓ avg 20.8%

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

0.29Best match rating · 9–3 · poseidon, 24 Sept →
38%Best headshot accuracy · 4–13 · dust2, 7 May →
500msFastest reaction time · 6–9 · inferno, 16 Oct →
13–0Biggest win · ancient, 22 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
12–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 73% over 11cacheWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA2515–1060%0.01
infernoC146–843%0.03
cacheD134–931%0.00
anubisS118–373%0.02
dust2B105–550%-0.04
ancientA85–363%0.00
nukeA74–357%-0.01
vertigo—41–325%-0.01
poseidon—33–0100%0.21
train—33–0100%0.02
office—20–20%-0.07

Across the last 100 tracked matches.

Lifetime stats

54,927Lifetime kills
1.08K/D · Top 50% of tracked players
2,915Matches
40.8%Match win rate
54.5%Headshot % · Top 25% of tracked players
18.5%Shot accuracy · Top 10% of tracked players
11,910MVPs
781Hours (in match)
2,401Bombs planted
484Bombs defused

Most-used weapons

AK-4716,452
AWP7,029
SSG 081,461
MP71,147
Knife886

Lifetime map wins

2,668inferno
1,523dust2
686cbble
643nuke
465vertigo
433train
419office
229italy

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

Faceit stats

Combat

5Matches
0%Win rate
0.47Avg K/D
67.9ADR
23%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

19.2%Headshot accuracy
35.7%Accuracy (enemy spotted)
32.8%Spray accuracy
72.2%Counter-strafing
9.9°Preaim
640msReaction time
54.4%T opening success
44.6%CT opening success
0.39Enemies flashed / flash
1.6%Flash assists
2.82HE damage / grenade
3.51Flashes / 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

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

    Enemies flashed per flash 0.3855 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0515%28 Oct →
cache2–13-0.0121%28 Oct →
dust24–130.0118%28 Oct →
mirage13–80.0424%27 Oct →
ancient15–15-0.0221%27 Oct →
dust24–13-0.0918%27 Oct →
anubis1–13-0.0626%27 Oct →
cache1–13-0.0227%25 Oct →
anubis3–130.0015%25 Oct →
mirage13–100.0624%25 Oct →
cache1–13-0.0823%25 Oct →
cache13–40.1620%25 Oct →
mirage1–13-0.0613%21 Oct →
anubis13–110.1514%20 Oct →
mirage13–110.0312%20 Oct →
dust24–13-0.0614%20 Oct →
nuke13–60.0715%17 Oct →
anubis10–130.0719%17 Oct →
mirage13–60.1216%17 Oct →
mirage13–70.0715%17 Oct →
mirage10–13-0.0015%17 Oct →
mirage8–13-0.0124%16 Oct →
mirage13–20.0928%16 Oct →
mirage13–50.0022%16 Oct →
inferno9–40.2329%16 Oct →
inferno6–90.0719%16 Oct →
anubis13–110.0117%4 Oct →
poseidon9–40.2535%2 Oct →
inferno8–80.0430%2 Oct →
inferno9–70.1233%2 Oct →
inferno7–9-0.0119%2 Oct →
cache4–130.0327%27 Sept →
inferno13–70.0220%27 Sept →
vertigo13–7-0.0416%27 Sept →
vertigo11–130.1118%24 Sept →
poseidon9–70.1019%24 Sept →
inferno3–9-0.0421%24 Sept →
inferno9–40.1821%24 Sept →
poseidon9–30.2926%24 Sept →
vertigo6–13-0.0329%23 Sept →
inferno4–13-0.0816%16 Sept →
anubis13–30.1214%16 Sept →
mirage10–130.0925%28 Aug →
mirage13–50.0927%22 Aug →
train13–60.0323%22 Aug →
cache12–120.0223%1 Jul →
cache8–13-0.0219%1 Jul →
cache6–130.0024%1 Jul →
mirage13–7-0.0725%15 May →
cache13–50.0528%8 May →
cache7–00.0129%8 May →
office2–5-0.050%8 May →
inferno13–90.0512%8 May →
mirage10–20.0519%7 May →
cache11–13-0.0617%7 May →
dust24–13-0.0938%7 May →
cache1–13-0.0424%1 May →
cache13–11-0.0321%30 Apr →
train13–10-0.0017%25 Apr →
train13–30.0527%25 Apr →
dust26–13-0.048%25 Apr →
nuke0–9-0.249%25 Apr →
nuke9–70.0333%25 Apr →
nuke5–90.0122%25 Apr →
inferno7–9-0.1035%25 Apr →
ancient12–160.048%22 Apr →
mirage8–13-0.0618%22 Apr →
inferno2–9-0.0720%22 Apr →
mirage5–130.0114%19 Apr →
inferno3–130.0214%19 Apr →
mirage1–13-0.0924%19 Apr →
ancient13–11-0.0220%19 Apr →
dust216–12-0.0122%18 Apr →
nuke13–110.0612%18 Apr →
ancient7–13-0.0711%18 Apr →
vertigo5–13-0.1014%14 Apr →
anubis13–60.0114%7 Apr →
nuke13–70.0414%6 Apr →
ancient16–140.0922%5 Apr →
nuke10–13-0.069%5 Apr →
anubis13–5-0.0017%4 Apr →
mirage13–6-0.019%4 Apr →
anubis13–9-0.093%2 Apr →
mirage13–80.0211%23 Mar →
anubis16–12-0.0215%23 Mar →
office9–13-0.0814%22 Mar →
dust213–5-0.064%22 Mar →
ancient13–4-0.0113%22 Mar →
mirage8–7-0.0911%22 Mar →
ancient13–00.0119%22 Mar →
dust213–1-0.040%22 Mar →
dust213–00.0138%22 Mar →
ancient13–30.0117%22 Mar →
mirage9–30.0115%22 Mar →
mirage13–20.0610%22 Mar →
mirage1–13-0.0119%21 Mar →
inferno16–14-0.0527%21 Mar →
anubis13–60.0016%21 Mar →
mirage11–13-0.0815%20 Mar →
dust213–8-0.0527%20 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 →

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