Cameli

Cameli — CS2 Stats

US76561198306472543[U:1:346206815]Steam profile ↗✓ No bans

1,357Tracked matches69%Win rate2020Tracked since
CSDB Rating6.3 SolidHybrid Rifler
Premier CS Rating20,582Pink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#4218 of 9990 tracked
FaceitLevel 8 · 1,722 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGCameliFACEITLevel 8 · 1,722 ELOSTANDINGTop 31.2% of rankedPREMIER20,582 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning41
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY56431Last 10056%Win rateWTLWLWLLWW

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.6
Aggression4.5
Utility5.1
Positioning4.1
Opening Duels1.4
Clutch1.0

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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
Positioning4.1
Utility5.1
Mechanics7.9
Opening Duels1.7
Win Impact10.0

Composite 6.3/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time586ms−46ms
first ⅓ avg 631ms → last ⅓ avg 586ms
Headshot accuracy20.3%−5.7%
first ⅓ avg 26.0% → last ⅓ avg 20.3%

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

0.23Best rating — nuke 2–0
130Biggest win — cache
9Longest win streak
84In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 78% over 9infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC27121544%-0.01
dust2A2214864%0.02
ancientA148657%0.01
cacheA127558%0.02
anubisS97278%0.02
nukeA95456%0.00
infernoC73443%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

40Matches
60%Win rate
0.98Avg K/D
78.8ADR
49%Headshot %

Clutches & streaks

25%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient250%0.8212.5
Mirage250%1.0317.0
Dust22100%1.0816.5
Nuke250%0.8818.5
Anubis20%0.9416.5
Inferno1100%0.7911.0

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.

19.2%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.8%Spray accuracy
85.4%Counter-strafing
8.0°Preaim
581msReaction time
27.4%T opening success
43.9%CT opening success
0.51Enemies flashed / flash
6.7%Flash assists
8.89HE damage / grenade
7.74Flashes / 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. 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 27.3961% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–80.0723%18 Aug
dust215–15-0.0127%18 Aug
mirage2–6-0.0018%18 Aug
anubis13–1-0.0814%4 Aug
mirage4–13-0.1115%4 Aug
mirage13–9-0.0224%4 Aug
mirage11–130.0122%4 Aug
cache10–13-0.0220%4 Aug
dust213–10-0.0415%4 Aug
ancient13–9-0.0320%4 Aug
cache10–130.0819%4 Aug
nuke2–00.2317%3 Aug
dust216–12-0.0522%3 Aug
mirage13–3-0.0125%3 Aug
anubis4–00.0150%3 Aug
nuke3–3-0.0533%3 Aug
inferno11–130.0215%3 Aug
ancient13–4-0.028%3 Aug
nuke13–4-0.0130%3 Aug
ancient13–110.0210%2 Aug
anubis13–5-0.037%2 Aug
dust213–80.0118%2 Aug
ancient13–8-0.0310%1 Aug
mirage1–13-0.0715%31 Jul
mirage7–13-0.0514%31 Jul
ancient9–13-0.0720%31 Jul
mirage13–7-0.0327%31 Jul
nuke8–0-0.0026%31 Jul
mirage13–1-0.0114%31 Jul
cache13–30.0930%31 Jul
mirage13–60.0830%31 Jul
dust29–13-0.0318%31 Jul
mirage13–110.0314%31 Jul
inferno9–13-0.0615%30 Jul
anubis13–110.0522%30 Jul
cache6–13-0.0519%30 Jul
cache8–60.0819%30 Jul
dust28–130.0134%30 Jul
nuke2–13-0.0716%30 Jul
mirage11–130.0724%29 Jul
dust213–90.0716%29 Jul
nuke9–130.0113%29 Jul
mirage2–13-0.0622%29 Jul
dust26–13-0.0023%29 Jul
cache13–60.0125%29 Jul
mirage6–13-0.0830%29 Jul
inferno6–13-0.0320%29 Jul
anubis13–110.0720%28 Jul
ancient10–13-0.0226%27 Jul
dust213–9-0.0023%27 Jul
dust213–110.0119%27 Jul
ancient16–13-0.0123%27 Jul
mirage11–13-0.0115%27 Jul
inferno13–20.0122%27 Jul
dust213–40.0129%27 Jul
mirage13–20.0116%27 Jul
mirage13–4-0.0018%27 Jul
ancient8–130.0219%27 Jul
inferno13–50.0326%26 Jul
dust213–80.0031%26 Jul
dust213–40.0117%26 Jul
mirage13–5-0.0314%25 Jul
cache5–13-0.0221%25 Jul
dust210–130.0930%25 Jul
anubis13–40.1837%25 Jul
mirage10–13-0.0216%25 Jul
mirage13–16-0.0319%25 Jul
dust213–50.1330%25 Jul
cache13–00.000%24 Jul
dust213–10.0244%24 Jul
inferno7–1-0.020%24 Jul
cache13–0-0.000%24 Jul
mirage6–00.03100%24 Jul
dust213–00.0150%24 Jul
ancient13–90.0721%24 Jul
cache13–90.0523%24 Jul
cache7–13-0.0218%24 Jul
ancient5–130.0830%24 Jul
dust25–13-0.0520%24 Jul
ancient7–130.0020%24 Jul
mirage13–8-0.0015%24 Jul
ancient6–13-0.0216%24 Jul
nuke6–13-0.0333%24 Jul
ancient13–40.0317%23 Jul
mirage9–13-0.0525%23 Jul
dust29–130.0416%23 Jul
anubis2–13-0.0313%23 Jul
mirage13–4-0.0213%23 Jul
cache13–70.0529%23 Jul
ancient13–10.1321%23 Jul
inferno10–130.0315%23 Jul
mirage13–160.0628%23 Jul
nuke13–10-0.0418%22 Jul
anubis13–70.0330%22 Jul
nuke8–13-0.0416%22 Jul
mirage6–13-0.0128%22 Jul
anubis4–9-0.0424%22 Jul
dust213–100.1019%22 Jul
mirage0–13-0.05100%22 Jul
dust26–130.0025%22 Jul

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 →