PurpleFlash_88

PurpleFlash_88 — CS2 Stats

DE76561198407858478[U:1:447592750]Steam profile ↗✓ No bans

1,529Tracked matches55%Win rate2021Tracked since
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating3,805Grey band · top ~83.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 3,805 +94 8 Aug – 3 Oct · 29 days played
3,0754,355peak 4,3558 Aug3 Oct
4,482Peak Premier in tracked matches
29Days played since 2026-08-08

Premier CS Rating

  • 550 below peak (4,355)
  • +507 over 30 days · improving
  • Next: Light Blue band at 5,000 — 1,195 to go

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

Share this profile

CSDB.GGPurpleFlash_88FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER3,805 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim41
Positioning66
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY39–54–7Last 10039%Win rateLLLLLWWWTW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −7.5pp headshot accuracy · +16ms reaction

Win rate down 20pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 708ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 704ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 696ms

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 (+3 against its own average).

Aim4.1
Utility3.1
Positioning6.6
Opening Duels3.6
Clutch1.0

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

donk

Plays most like donk 67% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 705ms 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

Aim4.1
Positioning6.6
Utility3.1
Mechanics4.6
Opening Duels6.2
Win Impact6.7

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time701ms−62ms
first ⅓ avg 763ms → last ⅓ avg 701ms
Headshot accuracy21.5%−0.8%
first ⅓ avg 22.3% → last ⅓ avg 21.5%

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

0.08Best match rating · 10–3 · mirage, 7 Sept →
47%Best headshot accuracy · 3–11 · nuke, 11 Aug →
453msFastest reaction time · 1–9 · inferno, 28 Aug →
13–4Biggest win · anubis, 13 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
8–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 50% over 24infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2813–1546%-0.02
dust2B2412–1250%-0.03
nukeD164–1225%-0.04
infernoD102–820%-0.06
cacheD93–633%-0.03
anubisC73–443%-0.03
ancientC52–340%0.00
overpass—10–10%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
20%Win rate
0.57Avg K/D
66.9ADR
58%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage729%0.6510.9
Anubis10%0.377.0
Inferno10%0.213.0
Dust210%0.507.0

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.

21.3%Headshot accuracy
31.0%Accuracy (enemy spotted)
25.8%Spray accuracy
70.7%Counter-strafing
9.9°Preaim
705msReaction time
61.0%T opening success
48.5%CT opening success
0.54Enemies flashed / flash
6.0%Flash assists
5.33HE damage / grenade
2.06Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 704.845ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.0571 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0525%3 Oct →
dust26–13-0.0817%3 Oct →
mirage6–13-0.0026%1 Oct →
nuke3–13-0.078%30 Sept →
cache4–13-0.0516%29 Sept →
anubis13–5-0.0519%29 Sept →
mirage9–20.0425%29 Sept →
mirage13–8-0.0210%27 Sept →
inferno15–15-0.0912%25 Sept →
mirage13–8-0.0214%25 Sept →
cache13–6-0.0728%23 Sept →
mirage13–50.0117%19 Sept →
nuke13–10-0.0319%19 Sept →
mirage13–80.0113%19 Sept →
ancient13–80.0429%18 Sept →
dust210–13-0.0917%18 Sept →
dust28–130.0328%18 Sept →
cache16–14-0.0328%17 Sept →
nuke8–13-0.0342%17 Sept →
inferno4–9-0.2027%17 Sept →
dust213–100.0338%17 Sept →
dust213–50.0622%17 Sept →
mirage13–60.0431%17 Sept →
ancient4–13-0.0320%17 Sept →
anubis3–13-0.068%16 Sept →
cache8–13-0.0418%16 Sept →
dust213–7-0.0118%16 Sept →
dust213–110.0322%16 Sept →
mirage8–13-0.0519%16 Sept →
mirage8–13-0.0123%16 Sept →
ancient13–80.0023%16 Sept →
mirage6–130.0222%16 Sept →
inferno13–70.0526%16 Sept →
inferno5–13-0.0532%15 Sept →
nuke6–13-0.0539%15 Sept →
cache15–150.0129%14 Sept →
anubis13–40.0710%13 Sept →
dust27–13-0.0538%11 Sept →
nuke13–6-0.0413%11 Sept →
dust213–7-0.0117%11 Sept →
inferno6–9-0.0917%11 Sept →
overpass8–80.0714%11 Sept →
inferno8–130.0016%7 Sept →
nuke13–90.0034%7 Sept →
nuke4–13-0.0331%7 Sept →
anubis5–13-0.0330%7 Sept →
mirage10–30.0831%7 Sept →
dust26–13-0.0431%7 Sept →
dust213–11-0.0326%5 Sept →
dust210–30.0022%5 Sept →
mirage6–13-0.0523%2 Sept →
nuke13–9-0.0823%2 Sept →
anubis11–13-0.0825%2 Sept →
dust210–13-0.0432%2 Sept →
nuke13–16-0.0624%1 Sept →
dust28–13-0.0619%1 Sept →
nuke5–13-0.0431%1 Sept →
anubis13–10-0.0216%1 Sept →
nuke9–13-0.0334%1 Sept →
mirage13–11-0.0414%28 Aug →
mirage10–13-0.0613%28 Aug →
cache8–13-0.0611%28 Aug →
mirage13–8-0.0224%28 Aug →
inferno7–13-0.0831%28 Aug →
nuke7–90.0117%28 Aug →
inferno1–9-0.1714%28 Aug →
inferno13–90.0522%28 Aug →
mirage15–150.0225%28 Aug →
dust210–13-0.0527%27 Aug →
mirage13–11-0.0810%27 Aug →
nuke7–13-0.0819%26 Aug →
mirage0–13-0.1311%26 Aug →
mirage13–16-0.0218%26 Aug →
ancient9–130.0220%17 Aug →
dust28–13-0.0710%17 Aug →
mirage11–13-0.0821%17 Aug →
nuke6–13-0.1118%17 Aug →
dust213–8-0.0928%17 Aug →
mirage2–13-0.0528%16 Aug →
dust213–11-0.0429%16 Aug →
cache13–40.0122%16 Aug →
ancient8–13-0.0443%14 Aug →
mirage13–8-0.0421%14 Aug →
mirage15–15-0.0318%14 Aug →
dust213–60.0616%14 Aug →
dust210–13-0.0523%14 Aug →
mirage9–130.0717%14 Aug →
dust27–13-0.1028%12 Aug →
mirage15–15-0.0617%12 Aug →
dust213–11-0.0716%12 Aug →
dust213–100.0423%12 Aug →
mirage13–11-0.0724%12 Aug →
nuke15–15-0.0713%12 Aug →
nuke3–110.0147%11 Aug →
mirage9–13-0.0119%11 Aug →
cache1–130.0322%11 Aug →
mirage13–8-0.0326%11 Aug →
cache10–13-0.0430%9 Aug →
inferno4–13-0.0518%9 Aug →
dust211–13-0.0428%8 Aug →

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 →

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