⊹ꝔɅƝƉɅ⊹

⊹ꝔɅƝƉɅ⊹ — CS2 Stats

AQ76561198042239993[U:1:81974265]Steam profile ↗✓ No bans

1,480Tracked matches43%Win rate2020Tracked since
CSDB Rating3.3 LearningClutch Specialist
Premier CS Rating9,524Light Blue band · top ~57.2% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 9,524 -1,557 29 Aug – 30 Oct · 25 days played
8,82311,287peak 11,28729 Aug30 Oct
11,796Peak Premier in tracked matches
23Days played since 2026-08-29

Premier CS Rating

  • 1,763 below peak (11,287)
  • -136 over 30 days · steady
  • Next: Blue band at 10,000 — 476 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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

Share this profile

CSDB.GG⊹ꝔɅƝƉɅ⊹PREMIER9,524 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning42
Utility58

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateWLWLLLLLWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +5.0pp headshot accuracy · −29ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 575ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 602ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 616ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2 against its own average).

Aim3.3
Utility5.8
Positioning4.2
Opening Duels0.2
Clutch6.0

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

iM

Plays most like iM 62% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.3
Positioning4.2
Utility5.8
Mechanics3.5
Opening Duels1.2
Win Impact2.8

Composite 3.3/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time610ms+24ms
first ⅓ avg 586ms → last ⅓ avg 610ms
Headshot accuracy11.5%−0.0%
first ⅓ avg 11.5% → last ⅓ avg 11.5%

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

0.11Best match rating · 13–1 · mirage, 10 Oct →
29%Best headshot accuracy · 13–8 · office, 30 Oct →
453msFastest reaction time · 8–13 · dust2, 20 Oct →
13–0Biggest win · ancient, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 9dust2Weakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2112–957%-0.00
ancientA1810–856%-0.01
dust2D164–1225%-0.04
cacheA148–657%-0.02
nukeC114–736%-0.03
anubisB105–550%-0.02
infernoS96–367%0.00
office—11–0100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches
47%Win rate
0.63Avg K/D
57.2ADR
34%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient475%0.6710.3
Nuke10%0.5310.0
Mirage1100%1.2714.0

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.

11.7%Headshot accuracy
29.9%Accuracy (enemy spotted)
32.9%Spray accuracy
65.9%Counter-strafing
11.3°Preaim
609msReaction time
39.5%T opening success
26.7%CT opening success
0.56Enemies flashed / flash
4.8%Flash assists
7.92HE damage / grenade
10.38Flashes / 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 11.7322% — below the 15% mark we flag

    Aim Training →
  2. 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 39.4737% — 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.

25% win rate across 16 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
ancient13–40.0021%30 Oct →
nuke11–13-0.088%30 Oct →
office13–8-0.0429%30 Oct →
cache9–13-0.0210%29 Oct →
nuke3–13-0.1114%29 Oct →
dust26–13-0.0811%28 Oct →
dust214–16-0.0818%28 Oct →
dust210–13-0.0214%28 Oct →
mirage13–110.0419%28 Oct →
mirage7–13-0.019%27 Oct →
mirage13–11-0.039%27 Oct →
nuke8–13-0.0318%27 Oct →
cache11–130.026%27 Oct →
nuke13–7-0.084%27 Oct →
dust210–13-0.0711%27 Oct →
inferno13–11-0.035%26 Oct →
dust210–13-0.0511%26 Oct →
mirage13–11-0.0113%26 Oct →
inferno13–80.0615%26 Oct →
ancient13–4-0.0511%25 Oct →
mirage13–100.0410%24 Oct →
ancient7–13-0.024%24 Oct →
anubis8–13-0.069%24 Oct →
anubis13–5-0.1010%24 Oct →
dust213–9-0.0110%24 Oct →
anubis10–13-0.039%23 Oct →
ancient7–13-0.0612%23 Oct →
inferno8–13-0.0111%23 Oct →
inferno13–9-0.0313%23 Oct →
cache6–13-0.029%23 Oct →
nuke11–13-0.039%23 Oct →
dust24–13-0.075%22 Oct →
ancient13–70.0312%22 Oct →
ancient16–12-0.0314%22 Oct →
cache13–8-0.0611%21 Oct →
mirage13–9-0.018%21 Oct →
cache8–13-0.0715%21 Oct →
inferno16–14-0.023%21 Oct →
mirage16–14-0.0212%20 Oct →
anubis13–80.012%20 Oct →
dust28–13-0.0627%20 Oct →
dust213–8-0.0410%20 Oct →
dust213–10-0.0415%20 Oct →
nuke13–50.088%20 Oct →
anubis13–6-0.0210%20 Oct →
cache10–13-0.0723%19 Oct →
ancient13–11-0.0115%19 Oct →
mirage7–13-0.0218%19 Oct →
dust29–13-0.0611%19 Oct →
mirage13–9-0.017%19 Oct →
mirage10–13-0.048%18 Oct →
dust211–13-0.0010%18 Oct →
mirage12–16-0.0313%18 Oct →
nuke13–7-0.027%18 Oct →
cache13–70.038%18 Oct →
ancient9–13-0.0410%18 Oct →
mirage13–110.009%18 Oct →
cache13–20.0018%18 Oct →
mirage11–130.023%17 Oct →
nuke13–10-0.0010%17 Oct →
ancient11–13-0.0413%17 Oct →
mirage1–13-0.0122%17 Oct →
cache6–13-0.026%17 Oct →
anubis13–20.088%17 Oct →
inferno13–100.0918%17 Oct →
cache13–9-0.039%16 Oct →
ancient13–110.037%16 Oct →
inferno7–13-0.019%16 Oct →
dust29–13-0.0215%16 Oct →
anubis10–13-0.0012%16 Oct →
ancient13–90.0011%16 Oct →
ancient6–13-0.048%16 Oct →
cache13–80.0419%15 Oct →
ancient13–10-0.0213%15 Oct →
dust213–60.0315%15 Oct →
inferno4–13-0.0410%15 Oct →
anubis13–70.0314%15 Oct →
anubis3–13-0.0516%14 Oct →
cache13–8-0.0216%14 Oct →
mirage1–13-0.044%14 Oct →
mirage16–130.034%14 Oct →
cache13–100.0211%13 Oct →
inferno13–100.0115%13 Oct →
anubis9–13-0.0112%13 Oct →
cache13–10-0.026%12 Oct →
ancient8–130.004%12 Oct →
dust215–15-0.0013%12 Oct →
nuke6–13-0.0311%11 Oct →
ancient13–10-0.0314%11 Oct →
ancient10–13-0.028%11 Oct →
ancient13–00.0412%11 Oct →
ancient13–160.0214%10 Oct →
mirage13–10.1119%10 Oct →
dust28–13-0.0911%10 Oct →
mirage6–13-0.0310%10 Oct →
mirage13–5-0.019%10 Oct →
nuke9–13-0.026%9 Oct →
nuke7–13-0.079%9 Oct →
mirage11–13-0.0319%9 Oct →
mirage13–90.0411%7 Oct →

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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