Kami

Kami — CS2 Stats

76561198108120564[U:1:147854836]Steam profile ↗VAC banned

2,798Tracked matches54%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
FaceitLevel 10 · 2,509 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,509 → 2,509
+27Tracked matches · now 2,798
+1.8ppWin rate · 51.7% → 53.6%

Rating over time

27,296Peak Premier in tracked matches
2,509Highest Faceit ELO seen on CSDB
56Days played since 2025-09-27

Faceit ELO

  • At peak — 2,509
  • Next: 3,000 ELO at 3,000 — 491 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-20
  • Level 10 first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGKamiFACEITLevel 10 · 2,509 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,509csdb.gg/stats

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Performance scores

Aim83
Positioning58
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateTWWLLWWWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −0.1pp headshot accuracy · −46ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 29%
  • Avg reaction 644ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 620ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 643ms

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 (+1.8 against its own average).

Aim8.3
Utility3.9
Positioning5.8
Opening Duels3.4
Clutch3.0

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

sh1ro

Plays most like sh1ro 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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. 628ms 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

Aim8.3
Positioning5.8
Utility3.9
Mechanics7.4
Opening Duels2.8
Win Impact6.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time648ms−28ms
first ⅓ avg 676ms → last ⅓ avg 648ms
Headshot accuracy29.1%−0.3%
first ⅓ avg 29.5% → last ⅓ avg 29.1%

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.

Personal bests

0.11Best match rating · 11–13 · dust2, 30 Oct →
65%Best headshot accuracy · 13–11 · cache, 14 May →
469msFastest reaction time · 11–13 · dust2, 30 Oct →
13–2Biggest win · dust2, 22 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 67% over 24infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2S2416–867%0.00
ancientB2010–1050%-0.02
cacheA149–564%-0.00
overpassB126–650%-0.01
nukeB105–550%0.01
infernoD93–633%0.01
mirageB84–450%0.00
anubis—20–20%0.01
train—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,683Matches
52%Win rate
1.06Avg K/D
72.0ADR
52%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient28853%1.0015.1
Dust225857%0.9514.5
Inferno12354%0.9714.7
Nuke11247%0.9013.7
Mirage10852%0.9414.3
Overpass8953%1.0015.6
Train6856%1.0514.9
Anubis5951%0.9715.2

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.

28.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.5%Spray accuracy
83.1%Counter-strafing
8.7°Preaim
628msReaction time
35.3%T opening success
47.0%CT opening success
0.39Enemies flashed / flash
6.4%Flash assists
6.20HE damage / grenade
8.34Flashes / 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 0.3912 — below the 0.5 mark we flag

    Grenade Lineups →
  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 35.3391% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient12–120.0829%30 Oct →
overpass13–90.0029%30 Oct →
mirage13–70.0535%30 Oct →
dust211–130.1133%30 Oct →
ancient4–13-0.0023%29 Oct →
nuke13–11-0.0418%25 Oct →
ancient13–8-0.0141%27 Sept →
cache16–130.0418%27 Sept →
dust28–13-0.0433%28 Aug →
cache4–13-0.0317%9 Aug →
cache13–100.0525%9 Aug →
cache13–11-0.0120%5 Aug →
ancient13–11-0.0621%5 Aug →
cache13–90.0431%2 Aug →
nuke13–90.0422%2 Aug →
dust21–8-0.0343%31 Jul →
ancient11–130.0042%4 Jul →
dust211–13-0.0130%26 Jun →
mirage15–15-0.0227%26 Jun →
mirage10–13-0.0416%14 Jun →
ancient13–9-0.0331%14 Jun →
overpass16–190.0622%12 Jun →
dust213–110.0126%3 Jun →
ancient4–13-0.0928%3 Jun →
cache7–130.0524%24 May →
nuke13–90.0224%18 May →
cache13–11-0.0416%14 May →
dust210–13-0.0137%14 May →
cache13–110.0265%14 May →
ancient10–130.0331%14 May →
dust213–9-0.0139%14 May →
dust213–11-0.0325%14 May →
overpass6–13-0.0243%14 May →
cache13–70.0838%13 May →
dust213–50.0930%13 May →
nuke6–13-0.0333%13 May →
cache13–6-0.0515%13 May →
ancient8–13-0.0940%13 May →
inferno10–13-0.0128%8 May →
mirage11–13-0.0325%8 May →
cache5–13-0.0228%7 May →
ancient9–13-0.0033%6 May →
cache4–13-0.1016%5 May →
anubis7–130.0220%5 May →
dust213–8-0.0127%3 May →
ancient11–130.0032%2 May →
cache5–13-0.0513%1 May →
ancient13–10-0.0222%1 May →
cache13–7-0.0128%1 May →
dust213–3-0.0727%1 May →
dust27–13-0.0431%27 Apr →
inferno16–120.0723%26 Apr →
nuke10–130.0219%26 Apr →
overpass20–22-0.0810%24 Apr →
ancient13–11-0.0120%24 Apr →
ancient13–5-0.0217%24 Apr →
dust213–7-0.0030%24 Apr →
dust22–13-0.0410%24 Apr →
dust213–20.0928%22 Apr →
inferno8–13-0.0825%22 Apr →
inferno13–8-0.0438%10 Apr →
inferno16–13-0.0316%29 Mar →
ancient13–6-0.0327%29 Mar →
ancient11–13-0.0430%28 Mar →
ancient19–16-0.0227%22 Mar →
dust213–11-0.0427%22 Mar →
dust216–120.0331%17 Mar →
overpass13–100.0218%14 Mar →
overpass9–13-0.0536%7 Mar →
dust213–7-0.0129%27 Feb →
nuke13–110.0430%27 Feb →
dust213–10-0.0133%26 Feb →
mirage10–130.0027%20 Feb →
inferno15–150.1123%15 Feb →
dust213–40.0240%8 Feb →
nuke13–30.0543%6 Feb →
anubis19–220.0031%29 Jan →
overpass13–70.1117%22 Jan →
inferno4–130.0336%22 Jan →
dust213–80.0235%22 Jan →
overpass13–60.0116%24 Dec →
nuke7–130.0124%23 Dec →
train7–13-0.0836%23 Dec →
inferno8–13-0.0819%20 Dec →
nuke3–13-0.0138%14 Dec →
mirage13–10-0.0323%13 Dec →
ancient13–60.0526%25 Oct →
nuke5–130.0229%24 Oct →
dust213–100.0131%24 Oct →
ancient13–11-0.0523%19 Oct →
inferno11–130.0739%17 Oct →
overpass8–13-0.0733%17 Oct →
ancient11–13-0.0426%17 Oct →
overpass22–20-0.0426%8 Oct →
overpass13–60.0029%6 Oct →
mirage13–60.0641%6 Oct →
dust29–130.0026%6 Oct →
mirage13–80.0540%6 Oct →
overpass13–16-0.0127%27 Sept →
dust213–110.0026%27 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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