flambé

flambé — CS2 Stats

76561198070464547[U:1:110198819]Steam profile ↗✓ No bans

440Tracked matches56%Win rate2021Tracked since
CSDB Rating6.5 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

+11Tracked matches · now 440
+12.7ppWin rate · 42.9% → 55.6%

Rating over time

Premier CS Rating: 10,591 +0 16 Jan – 8 Sept · 3 days played
10,59110,591peak 10,59116 Jan8 Sept
10,591Peak Premier in tracked matches
44Days played since 2025-11-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim71
Positioning68
Utility41

0–100 skill scores via Leetify.

Recent form

HOT41–50–9Last 10041%Win rateWWWWWTLWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +0.9pp headshot accuracy · +20ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 613ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 622ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 612ms

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 (+1.1 against its own average).

Aim7.1
Utility4.1
Positioning6.8
Opening Duels6.3

Limited 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 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim7.1
Positioning6.8
Utility4.1
Mechanics7.3
Opening Duels5.9
Win Impact6.9

Composite 6.5/10 (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+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time629ms−18ms
first ⅓ avg 648ms → last ⅓ avg 629ms
Headshot accuracy19.0%−0.3%
first ⅓ avg 19.4% → last ⅓ avg 19.0%

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.

Personal bests

0.31Best match rating · 9–2 · rooftop, 18 Jan →
50%Best headshot accuracy · 4–0 · dust2, 21 Jan →
453msFastest reaction time · 2–13 · vertigo, 16 Dec →
13–2Biggest win · train, 8 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
3–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 80% over 5nukeWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B2412–1250%0.06
nukeD164–1225%0.02
mirageC156–940%0.03
infernoD123–925%0.04
trainC83–538%0.07
cacheD72–529%0.05
overpassS64–267%0.01
ancientS54–180%0.05
vertigo—41–325%0.02
anubis—11–0100%0.05
rooftop—11–0100%0.31
office—10–10%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.2%Headshot accuracy
38.5%Accuracy (enemy spotted)
35.0%Spray accuracy
82.9%Counter-strafing
10.5°Preaim
629msReaction time
45.8%T opening success
61.2%CT opening success
0.49Enemies flashed / flash
6.1%Flash assists
9.25HE damage / grenade
4.61Flashes / 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 0.495 — 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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–90.0219%8 Oct →
train13–20.0818%8 Oct →
ancient13–110.1019%6 Oct →
mirage13–40.0720%6 Oct →
nuke13–9-0.0116%18 Sept →
cache12–120.1217%18 Sept →
cache8–130.0616%10 Sept →
dust213–50.0829%10 Sept →
mirage13–4-0.0414%8 Sept →
cache9–130.0316%8 Sept →
dust211–10.045%8 Sept →
vertigo13–80.0413%26 Jul →
nuke6–13-0.049%26 Jul →
inferno3–13-0.009%30 Jun →
ancient13–10-0.0618%30 Jun →
nuke6–13-0.0523%30 Jun →
cache13–30.0215%30 Jun →
mirage3–130.0431%17 Jun →
inferno10–130.1323%4 Jun →
cache6–130.0630%4 Jun →
cache12–120.0214%5 May →
ancient8–130.0816%2 Apr →
mirage5–130.0814%20 Feb →
dust213–110.1325%19 Feb →
mirage13–90.0617%4 Feb →
dust25–130.0326%2 Feb →
nuke4–130.0719%2 Feb →
anubis13–90.0513%22 Jan →
dust213–20.0013%22 Jan →
nuke12–120.0222%21 Jan →
dust24–00.0550%21 Jan →
nuke8–80.0711%18 Jan →
rooftop9–20.3127%18 Jan →
inferno9–40.1618%18 Jan →
mirage4–13-0.0415%18 Jan →
overpass13–10-0.0312%16 Jan →
dust29–13-0.0116%16 Jan →
train7–130.0631%16 Jan →
dust213–90.1316%16 Jan →
inferno8–80.0828%16 Jan →
dust22–13-0.0519%16 Jan →
overpass13–4-0.0014%16 Jan →
ancient13–40.1533%16 Jan →
nuke2–10.010%15 Jan →
nuke8–13-0.0415%14 Jan →
mirage1–13-0.0133%8 Jan →
nuke5–13-0.0515%8 Jan →
nuke9–130.1025%6 Jan →
dust24–13-0.0123%2 Jan →
mirage13–80.0416%2 Jan →
dust27–130.0516%31 Dec →
nuke7–130.1021%31 Dec →
train9–130.0421%31 Dec →
train11–13-0.0910%29 Dec →
mirage13–90.0519%24 Dec →
mirage9–130.0241%24 Dec →
office5–13-0.0311%23 Dec →
inferno13–80.0815%23 Dec →
inferno6–130.0417%22 Dec →
dust213–80.1222%21 Dec →
dust29–13-0.0213%21 Dec →
dust29–130.0818%18 Dec →
train12–120.0726%18 Dec →
train13–60.0822%18 Dec →
dust24–130.0313%16 Dec →
inferno8–130.0126%16 Dec →
vertigo2–13-0.0210%16 Dec →
overpass13–7-0.0314%16 Dec →
overpass7–130.0415%15 Dec →
mirage13–20.1440%15 Dec →
inferno9–130.0620%15 Dec →
mirage4–130.0431%15 Dec →
train13–30.2038%15 Dec →
dust213–40.1518%15 Dec →
dust212–12-0.0623%15 Dec →
inferno6–9-0.0518%12 Dec →
dust214–16-0.028%11 Dec →
mirage12–120.1014%11 Dec →
nuke13–3-0.0527%10 Dec →
inferno4–130.0221%9 Dec →
dust213–90.1415%9 Dec →
mirage9–13-0.0217%9 Dec →
dust213–40.2416%9 Dec →
ancient13–5-0.0123%9 Dec →
nuke13–9-0.0312%6 Dec →
inferno13–8-0.0021%6 Dec →
nuke11–130.0220%4 Dec →
dust212–120.0720%4 Dec →
nuke13–110.0622%3 Dec →
dust213–90.1425%3 Dec →
mirage5–10-0.038%3 Dec →
train11–130.0813%25 Nov →
dust213–50.1217%25 Nov →
overpass13–70.0619%25 Nov →
vertigo2–130.0319%25 Nov →
inferno8–13-0.0512%24 Nov →
vertigo3–130.0312%24 Nov →
dust27–13-0.0116%23 Nov →
nuke5–130.0723%22 Nov →
overpass3–130.0224%22 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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