Kirku

Kirku — CS2 Stats

76561198009109727[U:1:48843999]Steam profile ↗✓ No bans

321Tracked matches33%Win rate2020Tracked since
CSDB Rating3.6 LearningSupport
WingmanGold Nova I
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 27 days played since 21 Jul 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,110 +1,047 23 Jul26 Apr · 14 days played
13,73918,581peak 18,58123 Jul26 Apr
18,581Peak Premier in tracked matches
27Days played since 2025-07-21

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

Performance scores

Aim37
Positioning43
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY44551Last 10044%Win rateLWWWWLLLLL

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating · −4.7pp headshot accuracy · +52ms reaction

Win rate up 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

  • 41 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 736ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 672ms

Last 20

  • 515 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 646ms

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: SupportUtility contribution stands above the rest of this profile (+2.9 against its own average).

Aim3.7
Utility5.9
Positioning4.3
Opening Duels1.7
Clutch0.0

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

NiKo

Plays most like NiKo 66% 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. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.7
Positioning4.3
Utility5.9
Mechanics3.7
Opening Duels1.6
Win Impact0.0

Composite 3.6/10 (Learning), 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-0.04−0.04
first ⅓ avg 0.00 → last ⅓ avg -0.04
Reaction time605ms−20ms
first ⅓ avg 626ms → last ⅓ avg 605ms
Headshot accuracy14.2%−1.8%
first ⅓ avg 16.0% → last ⅓ avg 14.2%

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

0.18Best match rating · 13–5 · inferno, 27 Jul
50%Best headshot accuracy · 0–5 · cache, 29 Apr
422msFastest reaction time · 3–13 · ancient, 25 Jul
13–1Biggest win · nuke, 25 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
75In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 73% over 26cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS2619773%0.00
nukeC1981142%-0.01
dust2B147750%-0.02
overpassD1331023%-0.04
trainD82625%-0.03
ancientD82625%-0.03
cacheD5050%-0.04
mirageA53260%-0.01
vertigo1010%-0.07
anubis1010%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

17Matches
29%Win rate
0.79Avg K/D
65.1ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno425%0.9814.8
Anubis250%0.629.0
Mirage20%0.6310.0
Nuke1100%0.759.0

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.

14.2%Headshot accuracy
29.7%Accuracy (enemy spotted)
29.7%Spray accuracy
66.6%Counter-strafing
10.8°Preaim
596msReaction time
37.9%T opening success
34.6%CT opening success
0.63Enemies flashed / flash
2.8%Flash assists
8.82HE damage / grenade
9.83Flashes / 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 14.156% — 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 37.9406% — below the 40% mark we flag

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache3–12-0.0918%25 Jul
mirage13–9-0.029%25 Jul
inferno13–80.0416%25 Jul
mirage10–80.0717%25 Jul
inferno13–8-0.025%25 Jul
mirage5–13-0.0521%24 Jul
nuke10–130.1416%24 Jul
cache3–130.0518%24 Jul
overpass1–11-0.110%20 Jul
nuke6–9-0.088%20 Jul
dust26–13-0.073%20 Jul
cache10–13-0.0823%20 Jul
dust29–13-0.0418%20 Jul
inferno2–9-0.2115%20 Jul
vertigo6–9-0.079%17 Jul
train0–9-0.050%16 Jul
overpass6–13-0.0524%16 Jul
cache6–130.0120%29 Apr
cache0–5-0.0850%29 Apr
inferno13–11-0.0715%26 Apr
train10–13-0.0117%26 Apr
train5–13-0.0713%26 Apr
train3–13-0.135%26 Apr
inferno11–13-0.038%26 Apr
overpass5–13-0.0310%26 Apr
nuke3–13-0.0614%25 Apr
nuke13–11-0.0617%25 Apr
inferno13–16-0.0412%25 Apr
nuke13–1-0.0412%25 Apr
inferno13–4-0.0216%25 Apr
inferno13–20.0112%25 Apr
inferno13–5-0.0217%25 Apr
overpass5–13-0.0611%24 Apr
nuke16–12-0.0712%24 Apr
inferno13–8-0.0416%24 Apr
overpass13–6-0.0515%24 Apr
inferno12–120.0125%24 Apr
overpass11–13-0.0514%23 Apr
overpass10–13-0.066%23 Apr
ancient3–13-0.0312%23 Apr
dust29–130.0317%23 Apr
nuke13–110.0314%23 Apr
ancient7–13-0.0412%23 Apr
dust216–13-0.0025%23 Apr
anubis10–13-0.0312%23 Apr
ancient4–13-0.0811%22 Apr
ancient13–6-0.0119%22 Apr
nuke9–13-0.0711%22 Apr
overpass13–9-0.0411%21 Apr
dust213–9-0.0518%21 Apr
dust213–10-0.0510%27 Mar
mirage13–90.0023%17 Sept
train6–13-0.0822%15 Sept
nuke10–130.0210%15 Sept
mirage5–13-0.0515%15 Sept
ancient8–130.0120%14 Sept
inferno13–70.0629%14 Sept
inferno13–7-0.0219%14 Sept
ancient9–130.0217%14 Sept
inferno13–10.0325%13 Sept
overpass13–50.0121%13 Sept
nuke13–20.1112%13 Sept
inferno13–11-0.0222%13 Sept
ancient13–1-0.0112%11 Sept
dust21–13-0.0122%7 Sept
inferno13–80.1215%7 Sept
train9–130.0321%3 Sept
dust21–130.0111%27 Jul
inferno4–13-0.0338%27 Jul
nuke4–13-0.028%27 Jul
inferno13–50.1818%27 Jul
dust26–13-0.0416%26 Jul
overpass7–130.0117%26 Jul
overpass14–160.0018%26 Jul
nuke13–4-0.0012%26 Jul
inferno14–16-0.038%26 Jul
train13–110.0622%25 Jul
ancient3–13-0.1012%25 Jul
inferno13–70.0412%25 Jul
nuke13–6-0.0716%25 Jul
overpass8–13-0.0516%25 Jul
nuke5–13-0.039%25 Jul
train13–7-0.0012%25 Jul
inferno13–10.1214%25 Jul
dust216–130.0222%25 Jul
inferno13–11-0.0022%24 Jul
nuke7–130.0317%24 Jul
dust213–90.0418%24 Jul
nuke13–50.1217%24 Jul
inferno13–30.0411%23 Jul
dust210–4-0.0818%23 Jul
overpass6–130.0014%22 Jul
inferno13–50.0013%22 Jul
inferno11–130.009%22 Jul
dust25–13-0.0619%22 Jul
nuke7–13-0.0920%22 Jul
inferno13–10-0.0410%22 Jul
dust213–80.0323%22 Jul
nuke3–130.0218%21 Jul
nuke3–130.0218%21 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →