Flake

Flake — CS2 Stats

HK76561199174259095[U:1:1213993367]Steam profile ↗✓ No bans

222Tracked matches80%Win rate2025Tracked since
484Hours in CS11Hrs last 2 wks
CSDB Rating6.4 SolidClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

+55Tracked matches · now 222
+3.1ppWin rate · 76.9% → 80.0%

Rating over time

49Days played since 2026-06-04

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim81
Positioning53
Utility45

0–100 skill scores via Leetify.

Recent form

HOT64–22–14Last 10064%Win rateWWWWWWTTTW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.0pp headshot accuracy · −105ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 541ms

Last 10

  • 7–0–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 497ms

Last 20

  • 13–2–5 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 550ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim8.1
Utility4.5
Positioning5.3
Opening Duels1.0
Clutch6.0

Effective flashesLimited 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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.1
Positioning5.3
Utility4.5
Mechanics7.5
Opening Duels1.2
Win Impact10.0

Composite 6.4/10 (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+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time539ms−150ms
first ⅓ avg 689ms → last ⅓ avg 539ms
Headshot accuracy14.8%−1.0%
first ⅓ avg 15.8% → last ⅓ avg 14.8%

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

0.15Best match rating · 13–4 · dust2, 28 Sept →
33%Best headshot accuracy · 2–1 · dust2, 26 Aug →
336msFastest reaction time · 12–12 · dust2, 4 Nov →
13–2Biggest win · dust2, 15 Nov →

Across the last 100 tracked matches.

Highlights

12Longest win streak
W6Current streak
7–0In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A5837–2164%0.03
mirageA148–657%-0.05
infernoS86–275%-0.02
ancientC73–443%-0.03
anubisS64–267%0.00
nukeS54–180%-0.02
cache—22–0100%0.03

Across the last 100 tracked matches.

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

Lifetime stats

18,211Lifetime kills
1.06K/D · Top 50% of tracked players
1,220Matches
57.4%Match win rate · Top 5% of tracked players
36.1%Headshot %
0.0%Shot accuracy
2,717MVPs
279Hours (in match)
462Bombs planted
406Bombs defused

Most-used weapons

Lifetime map wins

5,786dust2
1,003inferno
347vertigo
78nuke
7train
3ar_shoots
2office

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

Faceit stats

Combat

10Matches
20%Win rate
0.54Avg K/D
49.6ADR
17%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.627.0
Ancient20%0.4410.0
Anubis20%0.5810.5
Dust2250%0.707.5
Inferno10%0.142.0

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.

15.0%Headshot accuracy
37.1%Accuracy (enemy spotted)
35.5%Spray accuracy
83.7%Counter-strafing
7.5°Preaim
542msReaction time
35.4%T opening success
34.2%CT opening success
0.78Enemies flashed / flash
11.2%Flash assists
2.21HE damage / grenade
4.84Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.9787% — below the 15% mark we flag

    Aim Training →
  2. 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 35.4101% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0315%15 Nov →
dust213–2-0.075%15 Nov →
anubis13–50.0215%14 Nov →
mirage13–90.0215%14 Nov →
dust213–50.0915%13 Nov →
dust213–80.1115%8 Nov →
dust212–120.1222%4 Nov →
nuke12–120.0214%30 Oct →
anubis12–12-0.0113%30 Oct →
anubis13–100.0517%25 Oct →
cache13–110.0917%25 Oct →
dust213–50.0319%25 Oct →
dust210–130.0218%25 Oct →
inferno13–100.0617%24 Oct →
ancient12–120.0210%24 Oct →
mirage13–9-0.115%24 Oct →
dust212–120.0512%22 Oct →
mirage9–13-0.095%22 Oct →
dust213–90.007%21 Oct →
dust213–20.0616%21 Oct →
dust29–130.0730%20 Oct →
dust213–70.1122%18 Oct →
dust213–4-0.009%13 Oct →
dust210–130.0827%11 Oct →
dust213–40.125%11 Oct →
anubis4–13-0.0214%10 Oct →
anubis13–11-0.106%10 Oct →
ancient13–10-0.0613%10 Oct →
dust213–90.0731%10 Oct →
dust213–80.0316%7 Oct →
dust212–120.0721%7 Oct →
nuke13–8-0.0410%4 Oct →
dust213–11-0.0313%4 Oct →
ancient2–13-0.014%4 Oct →
dust25–13-0.0510%4 Oct →
anubis13–100.0814%2 Oct →
dust213–8-0.0119%2 Oct →
mirage13–110.0011%2 Oct →
dust213–100.1314%2 Oct →
dust212–120.0320%2 Oct →
inferno13–7-0.0426%30 Sept →
dust213–70.0415%30 Sept →
dust29–00.078%28 Sept →
dust213–70.0612%28 Sept →
dust213–40.1513%28 Sept →
dust213–30.119%28 Sept →
dust213–90.1012%28 Sept →
inferno12–12-0.0113%27 Sept →
mirage13–40.0214%26 Sept →
mirage10–13-0.089%24 Sept →
nuke13–7-0.1011%24 Sept →
mirage5–13-0.0815%24 Sept →
dust213–8-0.0318%22 Sept →
inferno12–12-0.0511%18 Sept →
ancient10–13-0.0418%18 Sept →
mirage4–13-0.0914%13 Sept →
ancient13–7-0.0712%13 Sept →
inferno13–11-0.0816%13 Sept →
nuke9–10.0112%9 Sept →
mirage12–12-0.0813%9 Sept →
mirage13–11-0.040%6 Sept →
mirage12–12-0.0913%6 Sept →
inferno13–100.0115%6 Sept →
dust210–13-0.0513%6 Sept →
dust213–9-0.0020%4 Sept →
ancient12–12-0.0417%30 Aug →
nuke13–10-0.0015%30 Aug →
inferno13–4-0.0317%30 Aug →
cache13–10-0.0324%30 Aug →
mirage13–6-0.0215%29 Aug →
ancient13–4-0.0413%29 Aug →
dust213–9-0.0013%29 Aug →
dust213–40.013%29 Aug →
inferno13–6-0.0314%29 Aug →
dust210–6-0.0429%29 Aug →
mirage13–8-0.0514%26 Aug →
dust22–10.1133%26 Aug →
dust213–100.0019%26 Aug →
dust28–130.0424%26 Aug →
dust27–13-0.0514%24 Aug →
dust27–13-0.0415%16 Aug →
dust213–70.098%14 Aug →
dust213–90.1221%8 Aug →
dust27–130.0113%5 Aug →
dust212–12-0.0119%21 Jul →
dust213–6-0.0223%16 Jul →
dust212–12-0.0125%11 Jul →
dust26–13-0.0211%9 Jul →
dust213–60.0311%25 Jun →
dust29–130.0114%24 Jun →
dust21–13-0.078%24 Jun →
dust213–80.0217%24 Jun →
dust213–50.0418%23 Jun →
dust25–130.0712%23 Jun →
dust24–13-0.0211%18 Jun →
dust213–90.058%17 Jun →
dust28–13-0.0720%16 Jun →
dust213–80.0224%16 Jun →
dust213–10-0.027%8 Jun →
dust213–100.055%4 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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