Flashy — CS2 Stats

76561197992119016[U:1:31853288]

572Tracked matches50%Win rate2020Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating14,856Blue band · top ~29.2% of ranked players (population est.)
CSDB Leaderboard#17535 of 27472 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFlashyFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER14,856 · Blue bandcsdb.gg/stats

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Performance scores

Aim84
Positioning50
Utility26

0–100 skill scores via Leetify.

Recent form

COLD54433Last 10054%Win rateLWLLLWLWLL

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.4
Aggression5.7
Utility2.6
Positioning5.0
Opening Duels1.8

Excellent counter-strafingLimited 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.

Your pro match

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution.

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 34 points — deaths here waste a strong aim profile.

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

Reaction time. 599ms 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

Aim8.4
Positioning5.0
Utility2.6
Mechanics8.8
Opening Duels1.8
Win Impact5.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time606ms−3ms
first ⅓ avg 609ms → last ⅓ avg 606ms
Headshot accuracy14.2%−2.4%
first ⅓ avg 16.7% → last ⅓ avg 14.2%

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

0.17Best rating — nuke 9–3
131Biggest win — mirage
8Longest win streak
1010In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 71% over 14cacheWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA1811761%0.02
dust2A148657%0.01
nukeS1410471%0.04
trainB137654%0.02
ancientB126650%-0.00
infernoB126650%0.01
cacheC114736%-0.01
office32167%0.01
vertigo1010%-0.11
overpass1010%0.02
grail1010%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

31Matches
58%Win rate
1.23Avg K/D
ADR
36%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

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.

15.2%Headshot accuracy
41.1%Accuracy (enemy spotted)
41.2%Spray accuracy
89.4%Counter-strafing
9.1°Preaim
599msReaction time
32.3%T opening success
42.3%CT opening success
0.35Enemies flashed / flash
1.6%Flash assists
10.86HE damage / grenade
2.08Flashes / 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 0.3506 — 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 32.3129% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0014%23 Aug
dust213–6-0.0013%23 Aug
mirage8–130.0617%23 Aug
cache7–13-0.0616%23 Aug
dust211–13-0.0215%23 Aug
ancient16–140.0112%23 Aug
inferno5–9-0.108%21 Aug
cache13–70.046%17 Aug
inferno10–130.029%16 Aug
cache7–13-0.0511%16 Aug
ancient10–130.0125%16 Aug
mirage13–40.1227%16 Aug
dust213–110.0428%16 Aug
nuke13–8-0.018%16 Aug
mirage7–130.0418%16 Aug
ancient13–30.019%16 Aug
inferno13–40.0115%16 Aug
mirage13–40.016%13 Aug
ancient10–13-0.059%13 Aug
nuke13–40.0726%13 Aug
cache11–13-0.0310%5 Aug
cache13–60.0623%5 Aug
mirage2–11-0.0018%5 Aug
mirage13–10.1321%25 Jul
cache8–130.089%25 Jul
vertigo8–8-0.1114%23 May
nuke9–4-0.0221%23 May
nuke9–30.179%23 May
nuke8–80.1113%23 May
inferno5–90.025%23 May
nuke9–40.1511%23 May
cache13–11-0.0412%2 May
cache10–13-0.0211%2 May
cache8–13-0.0311%1 May
cache4–13-0.0629%1 May
cache13–8-0.0022%1 May
dust213–110.0514%9 Nov
train13–90.0213%9 Nov
train10–13-0.0216%9 Nov
train13–160.0614%24 Oct
inferno3–13-0.0120%24 Oct
dust213–110.0422%24 Oct
inferno13–80.0211%21 Sept
office1–13-0.0519%21 Sept
inferno13–70.0322%21 Sept
inferno13–40.029%21 Sept
ancient13–70.046%21 Sept
mirage13–100.0418%20 Sept
nuke13–90.089%20 Sept
nuke13–80.0223%20 Sept
dust213–60.0117%20 Sept
train13–40.007%20 Sept
train4–13-0.056%20 Sept
dust213–80.0115%20 Sept
train6–130.0118%16 Sept
inferno7–130.0118%16 Sept
mirage9–13-0.0322%16 Sept
ancient13–100.0113%16 Sept
dust211–130.0319%16 Sept
train13–40.0529%15 Sept
nuke13–11-0.0320%8 Sept
ancient13–110.0816%8 Sept
mirage13–80.0118%8 Sept
mirage13–30.0414%8 Sept
inferno13–20.1022%7 Sept
overpass11–130.0219%7 Sept
dust210–130.0124%7 Sept
train5–13-0.0714%7 Sept
nuke13–6-0.0217%7 Sept
ancient11–13-0.0321%7 Sept
mirage13–70.0118%7 Sept
office13–80.0812%3 Sept
office13–40.0020%3 Sept
nuke6–13-0.0214%2 Sept
dust213–70.0215%2 Sept
train16–14-0.0411%2 Sept
grail5–13-0.0616%2 Sept
inferno5–9-0.0419%2 Sept
inferno13–10-0.0123%23 Aug
ancient3–13-0.0723%23 Aug
dust211–130.0210%23 Aug
nuke1–110.008%23 Aug
ancient11–130.0526%23 Aug
train15–15-0.0210%19 Aug
mirage16–140.0015%16 Aug
nuke13–30.0018%16 Aug
nuke6–130.0121%16 Aug
dust24–13-0.0313%16 Aug
mirage11–13-0.0124%16 Aug
ancient13–8-0.0310%16 Aug
train13–110.0116%16 Aug
train13–30.149%15 Aug
ancient4–13-0.0312%11 Aug
mirage13–9-0.0317%10 Aug
mirage11–13-0.0326%10 Aug
dust216–13-0.0125%9 Aug
train13–40.108%9 Aug
mirage16–12-0.0216%5 Aug
mirage13–40.0826%5 Aug
dust211–130.0116%5 Aug

Match data via Leetify.

Recent teammates

Milestones

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