Flaming0

Flaming0 — CS2 Stats

US76561198041935427[U:1:81669699]Steam profile ↗

1,084Tracked matches52%Win rate2023Tracked since
970Hours in CS
CSDB Rating4.7 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate35.9%42.5%44.2%8.3% short
Shot accuracy14.9%10.9%11.2%above
Kill/death ratio1.240.991.04above
Match win rate44.8%44.2%45.3%meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFlaming0FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim51
Positioning51
Utility45

0–100 skill scores via Leetify.

Recent form

HOT454510Last 10045%Win rateWLWLWWLWWW

Last 10 vs previous 10: +40pp win rate · -0.03 avg rating

Player DNA

Aim5.1
Aggression6.7
Utility4.5
Positioning5.1
Opening Duels3.2
Clutch0.0

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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1
Positioning5.1
Utility4.5
Mechanics4.0
Opening Duels3.2
Win Impact5.6

Composite 4.7/10 (Developing), 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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time602ms+25ms
first ⅓ avg 577ms → last ⅓ avg 602ms
Headshot accuracy17.0%+3.5%
first ⅓ avg 13.5% → last ⅓ avg 17.0%

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

0.22Best rating — nuke 8–8
133Biggest win — cache
5Longest win streak
108In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 77% over 13anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB178947%0.02
cacheD1651131%0.00
dust2C135838%0.01
infernoS1310377%0.03
ancientD93633%-0.02
overpassD93633%0.03
shelterA85363%-0.01
anubisD51420%-0.03
vertigo43175%0.02
mirage2020%0.03
italy110100%-0.02
alpine1010%-0.03
office110100%0.09
train1010%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,914Lifetime kills
1.24K/D · Top 25% of Level 4 players
2,811Matches
44.8%Match win rate · Top 50% of Level 4 players
35.9%Headshot %
14.9%Shot accuracy · Top 25% of Level 4 players
6,074MVPs
970Hours (in match)
2,364Bombs planted
499Bombs defused

Most-used weapons

AK-4713,254
AWP6,761
AUG2,048
SG 5532,028
MAC-101,204
UMP-451,180

Lifetime map wins

5,165dust2
3,115nuke
2,697inferno
911office
830train
572vertigo
334italy
306cbble

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

Faceit stats

Combat

8Matches
50%Win rate
1.08Avg K/D
78.7ADR
32%Headshot %

Clutches & streaks

0%1v1 clutch win
60%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno333%1.2416.7
Nuke250%0.589.5
Anubis1100%1.2117.0
Train1100%1.7925.0
Dust210%0.8012.0

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.

17.1%Headshot accuracy
32.5%Accuracy (enemy spotted)
35.6%Spray accuracy
67.8%Counter-strafing
10.6°Preaim
603msReaction time
33.5%T opening success
52.2%CT opening success
0.55Enemies flashed / flash
4.0%Flash assists
7.04HE damage / grenade
4.13Flashes / 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 33.5488% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
shelter13–40.0826%11 Aug
shelter8–13-0.0419%27 Jul
shelter13–90.0241%26 Jul
shelter6–13-0.0526%25 Jul
italy13–11-0.0218%25 Jul
shelter13–6-0.0320%25 Jul
shelter7–13-0.0518%22 Jul
nuke13–110.0415%22 Jul
anubis13–60.0414%22 Jul
shelter13–4-0.039%22 Jul
shelter13–110.0416%21 Jul
nuke16–140.0419%12 Jul
dust24–13-0.0117%12 Jul
inferno7–13-0.018%12 Jul
cache4–13-0.0217%11 Jul
cache3–130.0115%5 Jul
dust211–13-0.0216%5 Jul
nuke9–50.1013%2 Jul
nuke8–80.2228%2 Jul
ancient7–13-0.0610%28 Jun
inferno14–160.018%27 Jun
nuke16–140.0015%27 Jun
inferno16–14-0.0410%27 Jun
ancient2–13-0.080%27 Jun
inferno13–110.0318%26 Jun
inferno13–50.0322%26 Jun
nuke8–13-0.0618%25 Jun
cache12–120.0422%25 Jun
inferno13–100.0423%24 Jun
anubis8–13-0.0714%24 Jun
vertigo13–7-0.0221%21 Jun
cache11–130.0119%21 Jun
nuke13–6-0.029%21 Jun
overpass13–40.0311%21 Jun
nuke13–5-0.0116%21 Jun
inferno13–50.0514%21 Jun
anubis2–13-0.0823%21 Jun
dust211–13-0.0017%20 Jun
nuke13–100.0914%14 Jun
overpass13–70.0220%14 Jun
nuke9–130.0415%14 Jun
dust215–150.0016%14 Jun
nuke8–130.0326%14 Jun
cache13–30.0314%14 Jun
ancient13–10-0.0216%14 Jun
vertigo13–50.0422%13 Jun
cache3–13-0.0138%13 Jun
overpass9–130.0612%13 Jun
nuke10–130.0011%10 Jun
ancient13–30.0618%10 Jun
dust213–90.1420%10 Jun
inferno9–50.1030%10 Jun
inferno16–140.0612%9 Jun
inferno9–40.1113%9 Jun
anubis9–13-0.0218%8 Jun
nuke10–130.0014%7 Jun
dust210–130.0620%7 Jun
dust27–13-0.0525%6 Jun
nuke12–12-0.0213%6 Jun
vertigo13–110.0921%6 Jun
nuke13–40.0129%4 Jun
inferno13–90.0111%4 Jun
overpass10–130.0414%2 Jun
ancient11–13-0.016%1 Jun
dust213–60.0710%1 Jun
cache6–13-0.0413%1 Jun
ancient11–13-0.0510%31 May
anubis4–13-0.0216%31 May
cache13–5-0.0214%30 May
nuke2–13-0.0417%30 May
inferno11–130.0213%30 May
alpine8–13-0.039%30 May
vertigo12–12-0.028%30 May
cache12–120.033%27 May
ancient8–13-0.069%25 May
dust23–13-0.0213%25 May
office13–90.0912%24 May
overpass13–70.0614%24 May
ancient13–80.0212%24 May
dust26–13-0.0816%24 May
cache12–12-0.049%24 May
dust213–90.0121%23 May
overpass6–90.073%23 May
overpass4–90.0216%23 May
train3–13-0.007%23 May
mirage12–120.0211%23 May
inferno13–60.0117%23 May
dust213–8-0.0121%23 May
cache2–13-0.108%22 May
nuke5–130.0112%22 May
cache13–30.0019%21 May
cache12–12-0.0112%20 May
overpass12–120.0110%20 May
cache8–13-0.0212%19 May
dust213–110.0012%19 May
overpass5–13-0.0325%19 May
cache13–90.0313%19 May
cache13–30.1120%18 May
ancient11–13-0.0116%18 May
mirage8–130.0425%17 May

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 →