Kameha

Kameha — CS2 Stats

76561198129722369[U:1:169456641]Steam profile ↗✓ No bans

4,679Tracked matches38%Win rate2020Tracked since
4,284Hours in CS
CSDB Rating6.8 SolidPositional Player
Premier CS Rating16,945Purple band · top ~20.7% of ranked players (population est.)
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGKamehaFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER16,945 · Purple bandcsdb.gg/stats

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Performance scores

Aim91
Positioning77
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateWWWWLWTLLL

Last 10 vs previous 10: +30pp win rate · −0.09 avg rating · −11.5pp headshot accuracy · +57ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.09), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 27%
  • Avg reaction 531ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 588ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 30%
  • Avg reaction 559ms

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 (+2.1 against its own average).

Aim9.1
Utility2.7
Positioning7.7
Opening Duels7.2
Clutch4.6

Sharp aimerStrong CT-side openerLimited 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

s1mple

Plays most like s1mple 72% playstyle similarity

Most alike: positioning profile, aim profile.

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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 70% T opening-duel success — entries that actually open the round.

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. 561ms 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

Aim9.1
Positioning7.7
Utility2.7
Mechanics7.4
Opening Duels9.6
Win Impact1.0

Composite 6.8/10 (Solid), 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 rating0.05+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time570ms+73ms
first ⅓ avg 497ms → last ⅓ avg 570ms
Headshot accuracy30.8%+5.5%
first ⅓ avg 25.4% → last ⅓ avg 30.8%

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

0.25Best match rating · 6–1 · train, 1 Nov →
76%Best headshot accuracy · 6–1 · train, 1 Nov →
375msFastest reaction time · 16–13 · inferno, 12 Nov →
13–1Biggest win · ancient, 1 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
5–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 60% over 20nukeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2012–860%0.02
mirageC198–1142%0.05
anubisC135–838%0.04
infernoB126–650%-0.01
ancientB115–645%0.03
nukeD102–820%0.04
cacheC94–544%0.00
train—11–0100%0.25
boulder—11–0100%0.01
fachwerk—11–0100%0.03
vertigo—10–10%-0.02
office—10–10%0.04
overpass—11–0100%0.14

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

218,866Lifetime kills
1.15K/D
10,097Matches
50.5%Match win rate
49.8%Headshot %
12.3%Shot accuracy
31,540MVPs
4,284Hours (in match)
6,822Bombs planted
2,304Bombs defused

Most-used weapons

AK-4761,955
AWP33,280
Glock-1810,135
MAC-106,650
MP95,486
P2504,115
Knife3,900

Lifetime map wins

17,472inferno
7,699dust2
6,868nuke
3,674vertigo
2,703train
610cbble
390office
194lake

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

Faceit stats

Combat

2,079Matches
51%Win rate
1.13Avg K/D
85.3ADR
50%Headshot %

Clutches & streaks

43%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage20554%1.1716.8
Anubis11453%1.1316.7
Ancient10746%1.1017.1
Nuke6050%1.1017.8
Vertigo5853%1.1816.3
Dust25062%1.1217.5
Inferno5028%1.0317.1
Overpass2658%1.2617.7

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.

30.9%Headshot accuracy
37.7%Accuracy (enemy spotted)
36.6%Spray accuracy
83.3%Counter-strafing
8.0°Preaim
561msReaction time
70.4%T opening success
66.5%CT opening success
0.36Enemies flashed / flash
5.2%Flash assists
4.28HE damage / grenade
3.35Flashes / 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 0.3567 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–2-0.0333%12 Nov →
inferno16–130.1137%12 Nov →
cache13–20.0526%12 Nov →
ancient13–50.1719%12 Nov →
dust211–130.0119%11 Nov →
mirage16–13-0.0128%11 Nov →
nuke8–80.0226%11 Nov →
nuke1–9-0.2216%11 Nov →
inferno1–9-0.1613%11 Nov →
mirage8–130.2227%11 Nov →
inferno5–13-0.0223%11 Nov →
mirage8–130.2044%11 Nov →
dust25–130.0926%11 Nov →
anubis4–130.0136%11 Nov →
mirage4–130.2229%11 Nov →
nuke11–130.0929%1 Nov →
mirage13–50.1229%1 Nov →
cache9–130.0331%1 Nov →
nuke13–160.1137%1 Nov →
train6–10.2576%1 Nov →
ancient4–130.0357%1 Nov →
anubis11–130.1432%1 Nov →
ancient13–10.1534%1 Nov →
inferno13–70.0936%31 Oct →
nuke12–120.1731%31 Oct →
nuke2–13-0.0638%31 Oct →
mirage3–130.0118%31 Oct →
mirage13–10-0.0823%31 Oct →
ancient7–13-0.0416%31 Oct →
anubis8–130.0223%31 Oct →
mirage13–20.0438%30 Oct →
ancient3–13-0.0750%29 Oct →
dust23–13-0.1320%29 Oct →
dust213–30.0824%28 Oct →
cache10–13-0.0356%28 Oct →
dust213–50.0333%27 Oct →
dust213–9-0.0224%22 Oct →
mirage5–13-0.0022%22 Oct →
inferno7–13-0.0738%19 Oct →
dust213–40.0038%19 Oct →
dust213–90.0725%19 Oct →
dust213–3-0.0223%19 Oct →
ancient13–3-0.0220%19 Oct →
boulder13–90.0134%18 Oct →
fachwerk13–10.0333%18 Oct →
anubis1–130.0015%18 Oct →
cache4–130.0843%18 Oct →
ancient1–13-0.0616%18 Oct →
vertigo5–13-0.0218%18 Oct →
mirage10–13-0.0127%18 Oct →
office12–120.0427%18 Oct →
overpass13–50.1419%18 Oct →
dust22–13-0.0525%18 Oct →
mirage13–40.0615%18 Oct →
ancient13–110.0527%18 Oct →
anubis13–60.0431%17 Oct →
dust216–13-0.0234%17 Oct →
mirage13–50.0324%17 Oct →
dust215–15-0.0217%17 Oct →
mirage10–13-0.0036%17 Oct →
inferno4–13-0.048%17 Oct →
mirage13–9-0.0327%16 Oct →
anubis7–130.0324%16 Oct →
nuke13–90.0819%16 Oct →
dust213–40.0727%16 Oct →
anubis13–30.0215%16 Oct →
mirage9–130.0429%16 Oct →
mirage13–70.0943%16 Oct →
anubis16–140.1330%16 Oct →
anubis9–130.0028%15 Oct →
inferno13–9-0.039%15 Oct →
ancient13–20.1222%15 Oct →
ancient10–13-0.0425%15 Oct →
inferno13–9-0.0124%15 Oct →
inferno13–9-0.0028%15 Oct →
mirage10–130.0424%15 Oct →
nuke13–60.1026%15 Oct →
mirage11–13-0.0225%15 Oct →
dust214–16-0.0125%15 Oct →
dust213–90.0412%14 Oct →
anubis4–130.0031%14 Oct →
dust213–30.0135%14 Oct →
nuke9–130.0935%14 Oct →
ancient6–130.0129%14 Oct →
inferno5–130.0515%14 Oct →
mirage7–13-0.0322%14 Oct →
inferno13–110.0033%14 Oct →
dust26–130.0524%14 Oct →
cache16–14-0.0125%14 Oct →
dust213–90.0520%14 Oct →
dust25–13-0.0638%14 Oct →
nuke11–130.0612%14 Oct →
dust213–40.2029%14 Oct →
anubis16–120.0719%14 Oct →
anubis13–110.0315%14 Oct →
inferno10–13-0.0526%14 Oct →
cache13–4-0.0225%14 Oct →
cache15–150.0222%14 Oct →
anubis8–13-0.0336%13 Oct →
cache6–13-0.0622%13 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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