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Flame — CS2 Stats

76561198181716765[U:1:221451037]Steam profile ↗

3,773Tracked matches48%Win rate2020Tracked since
CSDB Rating5.7 SolidAggressive Rifler
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFlameFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning40
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY50455Last 10050%Win rateLWWLLWWWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

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

Aim7.6
Aggression6.6
Utility7.1
Positioning4.0
Opening Duels2.8
Clutch4.0

Strong CT-side openerEffective flashes

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning4.0
Utility7.1
Mechanics5.6
Opening Duels2.8
Win Impact4.4

Composite 5.7/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time548ms−32ms
first ⅓ avg 580ms → last ⅓ avg 548ms
Headshot accuracy21.9%−2.6%
first ⅓ avg 24.5% → last ⅓ avg 21.9%

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

0.21Best rating — ancient 13–3
130Biggest win — inferno
4Longest win streak
44In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 63% over 19anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA1912763%-0.01
nukeC167944%-0.02
cacheB157847%0.00
vertigoC125742%0.02
mirageC94544%-0.01
dust2A95456%0.00
anubisD62433%-0.01
overpass43175%0.02
ancient43175%0.07
train31233%-0.01
office21150%-0.07
fachwerk1010%0.10

Across the last 100 tracked matches.

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

Faceit stats

Combat

434Matches
56%Win rate
1.11Avg K/D
84.5ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3546%1.2016.7
Anubis2774%1.2817.8
Inferno2343%1.1015.4
Ancient2055%0.9515.1
Dust21776%1.2517.4
Vertigo1050%0.9613.6
Nuke633%1.3116.2
Overpass250%0.5612.0

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.

22.6%Headshot accuracy
35.7%Accuracy (enemy spotted)
41.9%Spray accuracy
75.4%Counter-strafing
11.5°Preaim
538msReaction time
29.7%T opening success
52.5%CT opening success
0.72Enemies flashed / flash
9.9%Flash assists
10.42HE damage / grenade
14.38Flashes / 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 29.7406% — below the 40% mark we flag

Spend your practice time on Anubis

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 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke2–8-0.120%25 Aug
inferno13–8-0.0116%16 Aug
vertigo3–2-0.070%15 Aug
train0–13-0.0525%15 Aug
vertigo1–4-0.0220%15 Aug
overpass13–40.0018%15 Aug
inferno13–00.0726%15 Aug
train13–100.1033%15 Aug
vertigo13–40.0530%15 Aug
ancient8–13-0.0122%15 Aug
mirage13–3-0.0127%15 Aug
nuke13–100.0420%15 Aug
nuke11–13-0.0213%15 Aug
inferno13–9-0.0231%15 Aug
nuke12–30.0225%15 Aug
train1–13-0.0718%15 Aug
overpass13–100.0018%14 Aug
cache12–120.0115%14 Aug
mirage8–13-0.0132%14 Aug
mirage5–13-0.0414%11 Aug
vertigo7–13-0.0219%11 Aug
vertigo11–130.0838%11 Aug
dust213–110.0131%11 Aug
dust210–130.0123%11 Aug
dust26–130.0220%10 Aug
inferno5–13-0.1024%10 Aug
vertigo6–130.0312%10 Aug
inferno13–7-0.0725%10 Aug
cache2–13-0.0823%10 Aug
vertigo13–60.1320%9 Aug
vertigo13–6-0.0433%9 Aug
anubis6–13-0.0721%4 Aug
cache13–70.0533%4 Aug
nuke4–13-0.0225%3 Aug
cache5–10.0329%3 Aug
vertigo5–13-0.0026%3 Aug
overpass13–40.0623%3 Aug
inferno13–80.0616%3 Aug
vertigo6–130.0414%2 Aug
cache13–8-0.0618%1 Aug
anubis13–50.0424%1 Aug
inferno13–10-0.0618%31 Jul
anubis8–130.0022%27 Jul
nuke13–3-0.0329%27 Jul
cache13–90.1113%26 Jul
anubis9–13-0.0317%25 Jul
dust24–130.0227%25 Jul
inferno3–13-0.0722%25 Jul
mirage13–110.0021%25 Jul
cache13–9-0.0023%25 Jul
dust213–60.0731%21 Jul
cache6–130.0218%21 Jul
cache7–13-0.0124%21 Jul
ancient13–80.0713%20 Jul
overpass11–130.0323%20 Jul
nuke13–6-0.0715%20 Jul
anubis13–8-0.0412%19 Jul
inferno3–13-0.0537%19 Jul
nuke11–13-0.0713%14 Jul
nuke13–110.0224%14 Jul
cache12–120.0119%14 Jul
nuke7–13-0.0619%13 Jul
office0–13-0.0537%13 Jul
fachwerk9–130.1015%13 Jul
cache6–13-0.0213%13 Jul
dust28–13-0.0829%12 Jul
dust213–9-0.055%12 Jul
inferno13–10.015%12 Jul
office13–9-0.0924%11 Jul
nuke12–12-0.0114%11 Jul
nuke5–00.0647%9 Jul
inferno1–80.0540%9 Jul
inferno11–20.0635%9 Jul
mirage13–80.0324%8 Jul
inferno9–130.0530%8 Jul
cache13–6-0.0416%8 Jul
cache12–120.0225%8 Jul
cache13–10-0.0010%8 Jul
inferno13–6-0.0133%7 Jul
nuke13–40.0136%4 Jul
anubis10–130.0618%4 Jul
dust213–9-0.0121%3 Jul
ancient13–30.2125%2 Jul
vertigo7–130.0025%2 Jul
mirage4–130.0523%2 Jul
dust213–40.0325%29 Jun
inferno13–100.0013%29 Jun
nuke7–130.0028%29 Jun
inferno4–13-0.0323%29 Jun
inferno13–100.0215%28 Jun
nuke6–13-0.0318%28 Jun
inferno13–9-0.0620%28 Jun
ancient13–80.0121%28 Jun
cache8–13-0.0318%28 Jun
mirage13–50.0323%24 Jun
nuke12–120.0329%24 Jun
inferno6–130.0526%24 Jun
mirage5–13-0.0913%24 Jun
vertigo13–10.0864%22 Jun
mirage7–13-0.0223%22 Jun

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
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