Flash_309 — CS2 Stats

76561198077413901[U:1:117148173]✓ No bans

252Tracked matches46%Win rate2020Tracked since
CSDB Rating3.4 LearningAll-Rounder
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,164 -432 22 Jul – 22 Sept · 11 days played
15,17417,641peak 17,64122 Jul22 Sept
18,004Peak Premier in tracked matches
28Days played since 2025-07-17

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

Performance scores

Aim42
Positioning28
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateLWLWLTLWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.1pp headshot accuracy · −84ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 572ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 585ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 627ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.2
Utility2.6
Positioning2.8
Opening Duels1.8
Clutch1.8

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

jL

Plays most like jL 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 43% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 638ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.2
Positioning2.8
Utility2.6
Mechanics4.1
Opening Duels1.6
Win Impact3.8

Composite 3.4/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time639ms−4ms
first ⅓ avg 643ms → last ⅓ avg 639ms
Headshot accuracy17.3%+2.6%
first ⅓ avg 14.6% → last ⅓ avg 17.3%

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.

Personal bests

0.10Best match rating · 13–7 · inferno, 28 Jul →
60%Best headshot accuracy · 7–0 · dust2, 2 May →
469msFastest reaction time · 13–11 · nuke, 20 Mar →
13–0Biggest win · ancient, 20 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 59% over 17nukeWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
overpassC229–1341%-0.04
infernoA1710–759%-0.02
nukeD154–1127%-0.04
ancientC114–736%-0.03
dust2C114–736%-0.04
trainC83–538%-0.04
mirageA74–357%-0.04
cacheC52–340%-0.00
anubis—32–167%-0.01
jura—11–0100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

186Matches
47%Win rate
0.84Avg K/D
61.0ADR
38%Headshot %

Clutches & streaks

29%1v1 clutch win
50%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno367%0.8913.0
Nuke367%0.679.3
Ancient10%0.6817.0
Anubis1100%0.538.0
Cache10%0.6215.0

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.

15.8%Headshot accuracy
30.7%Accuracy (enemy spotted)
35.7%Spray accuracy
68.6%Counter-strafing
10.9°Preaim
638msReaction time
20.8%T opening success
42.6%CT opening success
0.24Enemies flashed / flash
5.6%Flash assists
8.09HE damage / grenade
0.94Flashes / 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 0.2411 — below the 0.5 mark we flag

    Grenade Lineups →
  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 20.7702% — below the 40% mark we flag

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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0411%7 Sept →
nuke13–6-0.0327%29 Jul →
ancient7–13-0.0820%29 Jul →
inferno13–20.0630%29 Jul →
cache14–16-0.0311%23 Jul →
overpass15–15-0.0113%27 Jun →
nuke11–13-0.0314%31 May →
anubis13–9-0.0519%31 May →
dust24–13-0.139%31 May →
inferno13–11-0.0614%31 May →
overpass10–13-0.0214%31 May →
inferno13–11-0.0515%21 May →
cache13–6-0.018%2 May →
dust27–00.0160%2 May →
cache9–13-0.0623%29 Apr →
cache13–60.0814%29 Apr →
cache11–130.0012%29 Apr →
nuke8–13-0.088%12 Apr →
overpass3–13-0.0317%12 Apr →
ancient13–8-0.028%12 Apr →
overpass8–13-0.0516%20 Mar →
ancient2–13-0.0910%20 Mar →
anubis7–10.0431%20 Mar →
dust28–13-0.0912%20 Mar →
nuke13–11-0.0611%20 Mar →
mirage8–1-0.0125%20 Mar →
inferno13–7-0.0422%20 Mar →
train1–13-0.1120%20 Mar →
mirage2–13-0.0223%20 Mar →
nuke12–12-0.0314%22 Sept →
anubis1–13-0.0113%22 Sept →
inferno13–10.0212%22 Sept →
overpass13–80.0715%22 Sept →
train13–70.015%10 Sept →
train5–13-0.016%10 Sept →
train13–2-0.0127%10 Sept →
overpass3–13-0.063%5 Sept →
mirage4–13-0.0523%5 Sept →
overpass13–16-0.0525%6 Aug →
ancient13–6-0.059%4 Aug →
dust22–13-0.0119%4 Aug →
overpass13–8-0.0414%4 Aug →
inferno13–11-0.085%4 Aug →
train1–13-0.1015%4 Aug →
inferno2–80.000%3 Aug →
nuke4–13-0.0111%2 Aug →
overpass13–11-0.0713%1 Aug →
ancient11–13-0.028%1 Aug →
overpass6–13-0.027%1 Aug →
nuke5–13-0.048%1 Aug →
overpass13–6-0.0410%1 Aug →
jura13–60.0013%30 Jul →
dust216–13-0.0419%30 Jul →
dust213–9-0.0116%30 Jul →
nuke14–16-0.0916%28 Jul →
train13–110.0217%28 Jul →
dust213–50.0013%28 Jul →
overpass13–6-0.0018%28 Jul →
mirage13–11-0.0625%28 Jul →
inferno13–70.1011%28 Jul →
inferno8–13-0.0614%26 Jul →
nuke11–13-0.0614%26 Jul →
inferno13–8-0.0613%26 Jul →
nuke7–13-0.0215%26 Jul →
dust211–13-0.0225%26 Jul →
mirage13–10-0.0514%24 Jul →
inferno10–130.0623%24 Jul →
dust215–15-0.0217%24 Jul →
ancient15–15-0.083%24 Jul →
overpass13–7-0.063%24 Jul →
nuke10–13-0.0212%24 Jul →
overpass11–13-0.0611%24 Jul →
nuke7–13-0.0422%23 Jul →
overpass5–13-0.0116%23 Jul →
train0–13-0.0511%23 Jul →
dust22–13-0.0829%23 Jul →
mirage13–3-0.0129%22 Jul →
ancient8–13-0.0313%22 Jul →
nuke13–60.0219%22 Jul →
inferno5–13-0.0414%22 Jul →
ancient1–13-0.033%22 Jul →
overpass7–13-0.0416%22 Jul →
overpass13–7-0.0715%21 Jul →
nuke11–13-0.0917%21 Jul →
mirage8–13-0.0513%21 Jul →
ancient13–70.036%21 Jul →
overpass6–13-0.0126%21 Jul →
ancient13–00.0416%20 Jul →
inferno4–13-0.0812%20 Jul →
train9–13-0.052%20 Jul →
overpass13–5-0.0619%20 Jul →
inferno13–50.0016%20 Jul →
dust24–13-0.0630%20 Jul →
ancient4–13-0.057%20 Jul →
inferno7–13-0.027%19 Jul →
overpass9–4-0.0519%19 Jul →
nuke13–110.0111%17 Jul →
inferno13–10-0.0116%17 Jul →
overpass8–13-0.089%17 Jul →
overpass4–13-0.0523%17 Jul →

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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