kami

kami — CS2 Stats

76561199123222090[U:1:1162956362]Steam profile ↗✓ No bans

1,518Tracked matches52%Win rate2023Tracked since
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating15,211Purple band · top ~27.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 15,211 +1,071 4 Sept – 13 Nov · 27 days played
11,12715,467peak 15,4674 Sept13 Nov
16,195Peak Premier in tracked matches
25Days played since 2026-09-04

Premier CS Rating

  • 256 below peak (15,467)
  • +3,678 over 30 days · improving
  • Next: Pink band at 20,000 — 4,789 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-04
  • Light Blue band first seen 2026-09-04

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

Share this profile

CSDB.GGkamiPREMIER15,211 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning46
Utility31

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateWWLLWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +0.0pp headshot accuracy · +36ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 510ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 571ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 553ms

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 (+2.4 against its own average).

Aim5.6
Utility3.1
Positioning4.6
Opening Duels1.0
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

iM

Plays most like iM 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

CT openings. Opening success drops from 48% on T to 33% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 57% 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

Aim5.6
Positioning4.6
Utility3.1
Mechanics1.6
Opening Duels2.7
Win Impact5.6

Composite 4.1/10 (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 rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time545ms−7ms
first ⅓ avg 552ms → last ⅓ avg 545ms
Headshot accuracy16.2%−3.2%
first ⅓ avg 19.4% → last ⅓ avg 16.2%

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

0.12Best match rating · 13–7 · ancient, 29 Sept →
100%Best headshot accuracy · 3–0 · mirage, 3 Oct →
406msFastest reaction time · 13–4 · inferno, 1 Nov →
13–1Biggest win · ancient, 5 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 74% over 19dust2Weakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
ancientS1914–574%-0.01
mirageB1910–953%-0.02
dust2C197–1237%-0.00
anubisB179–853%-0.03
infernoA148–657%-0.03
nukeC83–538%-0.02
cache—42–250%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
33%Win rate
0.49Avg K/D
44.6ADR
43%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1100%0.444.0
Mirage10%0.5610.0
Inferno10%0.477.0

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.

15.0%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.6%Spray accuracy
57.3%Counter-strafing
9.4°Preaim
546msReaction time
48.2%T opening success
33.1%CT opening success
0.45Enemies flashed / flash
1.3%Flash assists
7.50HE damage / grenade
3.72Flashes / 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 0.4451 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.1014% — 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.

37% win rate across 19 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
ancient13–8-0.009%13 Nov →
mirage13–70.0122%13 Nov →
inferno11–13-0.0212%13 Nov →
ancient9–130.0024%13 Nov →
anubis13–20.0520%13 Nov →
dust213–16-0.0410%12 Nov →
inferno13–10-0.0411%12 Nov →
cache13–6-0.009%12 Nov →
dust213–110.0123%12 Nov →
ancient13–70.0317%10 Nov →
inferno7–130.0015%10 Nov →
anubis5–13-0.0216%10 Nov →
ancient13–60.0614%10 Nov →
nuke5–13-0.1021%10 Nov →
mirage13–8-0.039%9 Nov →
anubis13–80.0314%9 Nov →
anubis13–16-0.0913%9 Nov →
nuke15–15-0.0615%9 Nov →
anubis13–10-0.0519%8 Nov →
cache5–13-0.0521%8 Nov →
ancient13–9-0.0610%8 Nov →
dust213–70.0320%8 Nov →
ancient13–3-0.0215%8 Nov →
ancient16–13-0.0114%8 Nov →
dust211–13-0.0216%8 Nov →
inferno9–13-0.0815%8 Nov →
dust213–160.0114%8 Nov →
ancient7–13-0.0310%8 Nov →
anubis11–13-0.065%8 Nov →
dust21–60.0350%5 Nov →
ancient13–10.0118%5 Nov →
anubis4–13-0.0714%5 Nov →
dust26–13-0.0022%5 Nov →
mirage13–100.0416%4 Nov →
mirage10–13-0.0619%4 Nov →
nuke13–10.0530%4 Nov →
anubis13–9-0.0412%3 Nov →
inferno13–9-0.0217%2 Nov →
nuke13–80.039%2 Nov →
mirage13–9-0.0418%2 Nov →
dust210–13-0.052%1 Nov →
anubis8–13-0.058%1 Nov →
dust26–13-0.0116%1 Nov →
ancient13–50.0311%1 Nov →
dust213–60.0420%1 Nov →
nuke15–15-0.0315%1 Nov →
inferno13–30.0223%1 Nov →
mirage10–13-0.0120%1 Nov →
inferno13–4-0.0119%1 Nov →
dust213–8-0.0215%30 Oct →
mirage13–11-0.0215%30 Oct →
ancient13–4-0.0119%30 Oct →
dust211–130.0425%30 Oct →
ancient6–13-0.0110%29 Oct →
inferno8–13-0.0617%29 Oct →
mirage13–11-0.0316%29 Oct →
inferno13–10-0.0516%28 Oct →
mirage5–13-0.0313%27 Oct →
mirage11–130.0110%27 Oct →
dust211–13-0.0024%27 Oct →
mirage13–100.0225%27 Oct →
dust213–70.0014%27 Oct →
mirage13–60.0426%25 Oct →
inferno4–13-0.0120%25 Oct →
anubis13–9-0.0020%25 Oct →
cache13–11-0.0313%25 Oct →
anubis10–13-0.017%25 Oct →
ancient13–100.018%25 Oct →
anubis13–9-0.0525%22 Oct →
mirage16–13-0.0114%22 Oct →
anubis13–40.0421%21 Oct →
mirage10–13-0.0420%20 Oct →
nuke13–7-0.047%20 Oct →
mirage6–13-0.0614%20 Oct →
dust213–60.0718%20 Oct →
mirage6–13-0.0513%20 Oct →
ancient13–8-0.099%20 Oct →
cache15–15-0.0416%20 Oct →
nuke11–13-0.0219%20 Oct →
ancient13–9-0.0515%20 Oct →
mirage7–13-0.0313%13 Oct →
anubis10–130.0016%13 Oct →
dust20–13-0.1128%13 Oct →
dust213–30.0439%13 Oct →
ancient9–13-0.0515%13 Oct →
dust211–13-0.0422%13 Oct →
mirage3–13-0.0115%13 Oct →
dust210–13-0.0423%13 Oct →
anubis16–12-0.0313%12 Oct →
inferno10–13-0.0418%12 Oct →
ancient7–13-0.0318%11 Oct →
ancient13–8-0.0320%9 Oct →
anubis7–13-0.0210%3 Oct →
inferno16–13-0.0315%3 Oct →
nuke10–13-0.0310%3 Oct →
mirage3–0-0.04100%3 Oct →
inferno13–9-0.0214%1 Oct →
ancient13–70.1214%29 Sept →
inferno13–9-0.0132%29 Sept →
anubis13–11-0.077%29 Sept →

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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