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kiri — CS2 Stats

76561198179346326[U:1:219080598]✓ No bans

1,611Tracked matches43%Win rate2021Tracked since
7,481Hours in CS99Hrs last 2 wks
CSDB Rating4.8 DevelopingHybrid Rifler
FaceitLevel 6 · 1,244 ELOTop 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate47.6%44.7%46.1%above
Shot accuracy5.9%11.9%12.6%6.7% short
Kill/death ratio1.121.041.05above
Match win rate46.6%45.2%45.7%meets

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkiriFACEITLevel 6 · 1,244 ELOSTANDINGTop 54.0% of rankedcsdb.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

Aim67
Positioning59
Utility57

0–100 skill scores via Leetify.

Recent form

COLD51–45–4Last 10051%Win rateLLWWLLWLLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.7
Aggression9.8
Utility5.7
Positioning5.9
Opening Duels4.7
Clutch2.4

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

device

Plays most like device 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

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

Aim6.7
Positioning5.9
Utility5.7
Mechanics3.5
Opening Duels4.7
Win Impact2.8

Composite 4.8/10 (Developing), 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 rating0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time541ms−14ms
first ⅓ avg 555ms → last ⅓ avg 541ms
Headshot accuracy25.1%−5.7%
first ⅓ avg 30.8% → last ⅓ avg 25.1%

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

0.30Best rating — inferno 9–2
13–2Biggest win — anubis
12Longest win streak
L2Current streak
13–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 75% over 8dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%0.05
nukeB1910–953%-0.01
mirageA116–555%0.00
dust2C104–640%-0.02
anubisA95–456%0.01
vertigoC94–544%0.05
ancientS86–275%0.04
train—31–233%0.00
overpass—31–233%0.04
cache—21–150%0.02
poseidon—20–20%0.11
office—10–10%0.03
alpine—10–10%-0.03
italy—11–0100%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,008Lifetime kills
1.12K/D · Top 50% of Level 6 players
3,092Matches
46.6%Match win rate · Top 50% of Level 6 players
47.6%Headshot % · Top 50% of Level 6 players
5.9%Shot accuracy
9,445MVPs
1,305Hours (in match)
2,632Bombs planted
1,593Bombs defused

Most-used weapons

AK-4720,755
AWP13,676
M4A4 / M4A1-S6,593
Desert Eagle4,955
P2000 / USP-S3,227
Glock-182,522
SSG 082,357
P902,272
MP91,329
Galil AR837

Lifetime map wins

4,783dust2
4,038inferno
2,640nuke
2,157vertigo
898train
262office
75cbble
52italy

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

Faceit stats

Combat

274Matches
49%Win rate
1.03Avg K/D
79.1ADR
42%Headshot %

Clutches & streaks

32%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage10549%1.1216.1
Ancient4637%0.9615.6
Inferno3949%1.0417.4
Nuke2962%0.9814.3
Dust22843%0.8513.4
Train1354%1.2013.6
Overpass1060%0.9013.7
Anubis475%0.9615.3

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.

24.5%Headshot accuracy
33.3%Accuracy (enemy spotted)
32.2%Spray accuracy
65.6%Counter-strafing
9.9°Preaim
527msReaction time
41.2%T opening success
56.1%CT opening success
0.44Enemies flashed / flash
6.7%Flash assists
9.08HE damage / grenade
17.29Flashes / 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 0.4388 — below the 0.5 mark we flag

    Grenade Lineups →
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.

40% win rate across 10 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
anubis14–16-0.0019%2 Jul →
cache3–13-0.0313%8 May →
vertigo13–60.0324%2 May →
cache13–50.0738%2 May →
nuke11–13-0.0228%1 May →
train9–13-0.0222%28 Apr →
mirage13–70.0023%28 Apr →
mirage9–130.0624%26 Apr →
anubis5–13-0.0329%16 Apr →
inferno4–9-0.1425%16 Apr →
inferno5–9-0.0445%16 Apr →
vertigo8–80.0229%16 Apr →
nuke5–9-0.1521%16 Apr →
nuke9–70.0814%16 Apr →
nuke9–70.0326%11 Apr →
nuke4–9-0.0127%11 Apr →
inferno2–9-0.1267%11 Apr →
inferno7–9-0.0333%11 Apr →
office11–130.0343%11 Apr →
vertigo13–10-0.0025%11 Apr →
vertigo9–130.0519%11 Apr →
vertigo6–130.0123%9 Apr →
vertigo9–130.1429%9 Apr →
anubis13–20.1018%9 Apr →
anubis9–130.0319%9 Apr →
ancient13–110.0818%6 Apr →
overpass13–70.0717%6 Apr →
inferno13–9-0.076%6 Apr →
anubis13–30.0427%6 Apr →
alpine8–13-0.0315%6 Apr →
mirage2–13-0.1017%16 Mar →
train13–6-0.0021%25 Feb →
inferno9–70.0723%25 Feb →
ancient11–130.0314%25 Feb →
vertigo13–50.0125%18 Feb →
poseidon8–80.1385%16 Feb →
poseidon8–80.0936%16 Feb →
inferno9–10.1525%16 Feb →
nuke2–9-0.078%14 Feb →
vertigo2–130.0630%14 Feb →
nuke13–40.1229%6 Feb →
nuke4–130.0050%6 Feb →
nuke3–13-0.0364%5 Feb →
nuke13–11-0.0224%5 Feb →
overpass9–130.0744%26 Jan →
dust213–6-0.0267%26 Jan →
anubis13–90.0736%25 Jan →
mirage13–110.0230%25 Jan →
dust213–60.0636%25 Jan →
dust210–13-0.0725%24 Jan →
ancient13–100.0036%24 Jan →
dust211–13-0.0130%23 Jan →
mirage16–13-0.0132%23 Jan →
inferno16–130.0542%23 Jan →
overpass12–16-0.0238%23 Jan →
inferno9–130.0733%22 Jan →
dust216–13-0.0561%22 Jan →
inferno4–13-0.0145%22 Jan →
nuke2–13-0.0450%22 Jan →
dust23–13-0.0532%22 Jan →
anubis3–13-0.1033%22 Jan →
nuke13–9-0.0238%22 Jan →
mirage16–14-0.0153%22 Jan →
italy13–80.0018%21 Jan →
anubis13–11-0.0228%21 Jan →
mirage2–13-0.0633%21 Jan →
nuke12–120.0050%21 Jan →
dust26–13-0.0121%19 Jan →
anubis13–6-0.0120%18 Jan →
nuke13–80.0826%18 Jan →
mirage13–60.0621%18 Jan →
vertigo9–60.0946%16 Jan →
inferno9–70.0656%16 Jan →
inferno9–40.0557%16 Jan →
inferno9–20.3073%16 Jan →
inferno9–50.2423%16 Jan →
inferno9–70.0750%16 Jan →
inferno9–70.0575%16 Jan →
inferno9–10.2871%16 Jan →
inferno9–4-0.0810%16 Jan →
inferno5–9-0.0318%16 Jan →
ancient13–70.0737%16 Jan →
ancient16–140.0319%16 Jan →
dust216–19-0.0621%14 Jan →
nuke13–6-0.0213%14 Jan →
mirage7–130.0220%14 Jan →
dust216–14-0.0420%13 Jan →
nuke8–13-0.0830%13 Jan →
nuke13–80.0522%13 Jan →
nuke13–7-0.0223%13 Jan →
nuke13–9-0.0615%12 Jan →
ancient13–40.0313%12 Jan →
inferno7–9-0.0722%12 Jan →
ancient13–60.1038%10 Jan →
dust25–130.0521%10 Jan →
inferno12–160.1530%10 Jan →
mirage13–90.0740%10 Jan →
train14–160.0430%10 Jan →
mirage10–130.0014%9 Jan →
ancient9–13-0.0520%8 Jan →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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