-kameeL

-kameeL — CS2 Stats

PL76561198877210889[U:1:916945161]Steam profile ↗

2,830Tracked matches43%Win rate2020Tracked since
2,079Hours in CS
CSDB Rating6.3 SolidAggressive Rifler
FaceitLevel 10 · 2,345 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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 10 median
Headshot rate53.6%51.9%
Shot accuracy9.2%13.7%
Kill/death ratio0.981.08
Match win rate50.1%48.7%

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CSDB.GG-kameeLFACEITLevel 10 · 2,345 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning65
Utility64

0–100 skill scores via Leetify.

Recent form

COLD4951Last 10049%Win rateLLLLLWWLWL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.6
Aggression9.1
Utility6.4
Positioning6.5
Opening Duels5.0
Clutch2.8

Strong CT-side opener

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 58% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim7.6
Positioning6.5
Utility6.4
Mechanics6.5
Opening Duels5.0
Win Impact2.8

Composite 6.3/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time578ms+6ms
first ⅓ avg 572ms → last ⅓ avg 578ms
Headshot accuracy27.2%−2.0%
first ⅓ avg 29.1% → last ⅓ avg 27.2%

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.

Highlights

0.20Best rating — ancient 13–0
130Biggest win — ancient
5Longest win streak
L5Current streak
610In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB26131350%0.01
ancientB21101148%0.01
infernoB115645%-0.01
dust2B115645%-0.00
nukeB105550%0.02
overpassA95456%0.01
anubisA85363%0.03
train3030%0.01
cache110100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,404Lifetime kills
0.98K/D
4,091Matches
50.1%Match win rate · Top 50% of Level 10 players
53.6%Headshot % · Top 50% of Level 10 players
9.2%Shot accuracy
11,041MVPs
2,079Hours (in match)
7,342Bombs planted
1,361Bombs defused

Most-used weapons

AK-4731,802
AWP6,236
Knife2,487
P2501,666
MP91,555

Lifetime map wins

6,736inferno
4,192dust2
3,041nuke
1,997train
1,416vertigo
42cbble
29lake
22bank

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

Faceit stats

Combat

3,353Matches
51%Win rate
1.05Avg K/D
78.9ADR
55%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage60455%1.0716.1
Anubis30847%1.0415.1
Ancient28147%1.0515.7
Dust222249%1.0515.8
Inferno16548%1.0415.7
Overpass12449%1.0815.9
Nuke11852%1.0515.0
Train2450%1.2417.7

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.

27.1%Headshot accuracy
32.5%Accuracy (enemy spotted)
31.2%Spray accuracy
79.4%Counter-strafing
9.1°Preaim
572msReaction time
42.1%T opening success
57.7%CT opening success
0.64Enemies flashed / flash
8.4%Flash assists
6.38HE damage / grenade
14.45Flashes / match

Recommended for you

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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–130.0521%10 Aug
mirage11–130.1133%15 Jul
nuke6–130.0520%15 Jul
mirage2–13-0.0414%12 Jul
mirage7–13-0.0520%12 Jul
nuke13–90.0932%12 Jul
anubis13–90.1130%9 Jul
ancient10–130.0217%9 Jul
mirage13–100.0527%9 Jul
anubis10–130.0831%9 Jul
nuke10–130.0431%9 Jul
cache13–50.0629%9 Jul
mirage13–80.0821%9 Jun
anubis13–110.0531%9 Jun
ancient11–13-0.0121%8 Jun
mirage13–16-0.0517%26 May
ancient13–80.0724%24 May
inferno12–16-0.0426%24 May
mirage13–50.1235%24 May
anubis13–40.0631%24 May
dust213–7-0.0346%23 May
overpass13–9-0.0026%17 May
mirage13–16-0.0429%16 May
inferno7–13-0.0326%15 May
dust28–130.0335%15 May
dust29–130.0131%15 May
ancient3–13-0.1436%15 May
inferno13–100.0321%10 May
nuke13–30.0328%3 May
inferno11–13-0.0126%3 May
ancient11–13-0.0028%3 May
mirage13–90.0031%19 Apr
mirage13–80.0621%19 Apr
ancient13–90.0229%18 Apr
dust213–11-0.0322%12 Apr
anubis5–13-0.038%12 Apr
mirage11–130.0026%11 Apr
dust214–160.0124%9 Apr
ancient13–100.0221%8 Apr
ancient10–13-0.0715%3 Apr
ancient10–13-0.0216%1 Apr
mirage6–13-0.0331%24 Mar
dust213–10-0.0338%18 Mar
mirage7–130.0825%18 Mar
dust213–8-0.0418%14 Mar
mirage13–8-0.0113%8 Mar
mirage13–90.0329%7 Mar
inferno9–13-0.0319%2 Mar
dust213–30.0019%28 Feb
dust29–130.0128%23 Feb
anubis13–10-0.0228%22 Feb
inferno13–80.0439%7 Feb
overpass13–9-0.0128%3 Feb
ancient13–100.0128%2 Feb
dust28–130.0453%1 Feb
mirage19–150.0317%29 Jan
anubis11–13-0.0016%18 Jan
anubis13–90.0429%17 Jan
ancient3–13-0.0025%14 Jan
mirage3–13-0.0821%4 Jan
mirage13–10-0.0142%16 Dec
inferno6–13-0.0028%14 Dec
nuke13–5-0.0125%23 Nov
overpass4–13-0.0523%12 Nov
ancient10–130.0216%8 Nov
train5–13-0.0130%8 Nov
overpass3–130.0123%25 Oct
ancient8–130.0029%25 Oct
ancient13–7-0.0239%22 Oct
inferno8–130.0329%10 Oct
nuke6–130.0334%5 Oct
overpass11–130.0331%4 Oct
inferno13–11-0.0138%3 Oct
ancient13–40.0841%23 Sept
ancient16–12-0.0025%22 Sept
overpass6–13-0.0620%21 Sept
nuke13–90.0143%14 Sept
mirage13–110.0124%14 Sept
ancient9–13-0.0438%4 Sept
nuke7–13-0.0029%28 Aug
ancient16–19-0.0228%26 Aug
mirage10–130.0319%22 Aug
dust211–13-0.0233%19 Aug
nuke3–130.0117%18 Aug
ancient13–80.0232%6 Aug
nuke13–11-0.0033%6 Aug
ancient13–00.2021%3 Aug
overpass13–60.0431%3 Aug
mirage13–4-0.0219%3 Aug
train8–130.0627%3 Aug
mirage13–70.0220%3 Aug
overpass13–6-0.0229%31 Jul
ancient13–5-0.0132%29 Jul
mirage10–13-0.0330%29 Jul
inferno13–11-0.0121%26 Jul
mirage13–100.0632%26 Jul
inferno13–9-0.0246%23 Jul
overpass13–50.1031%17 Jul
mirage14–16-0.0316%12 Jul
train16–19-0.0223%12 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →