ash

ash — CS2 Stats

IN76561198263462082[U:1:303196354]Steam profile ↗✓ No bans

226Tracked matches60%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

+13Tracked matches · now 226
−20.0ppWin rate · 80.0% → 60.0%

Rating over time

37Days played since 2025-01-31

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

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CSDB.GGashFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning54
Utility55

0–100 skill scores via Leetify.

Recent form

COLD66–31–3Last 10066%Win rateLWLLLLWWLL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −3.0pp headshot accuracy · −132ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 499ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 517ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 582ms

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: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim5.7
Utility5.5
Positioning5.4
Opening Duels3.0

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 593ms 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

Aim5.7
Positioning5.4
Utility5.5
Mechanics5.1
Opening Duels3.3
Win Impact8.3

Composite 5.5/10 (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 rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time606ms+15ms
first ⅓ avg 591ms → last ⅓ avg 606ms
Headshot accuracy19.0%+0.1%
first ⅓ avg 18.9% → 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

0.13Best match rating · 13–11 · nuke, 20 Oct →
50%Best headshot accuracy · 13–0 · inferno, 7 May →
328msFastest reaction time · 6–0 · cache, 6 May →
13–0Biggest win · inferno, 7 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
4–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 80% over 5dust2Weakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
infernoS2116–576%0.01
nukeS1814–478%0.01
mirageS1711–665%0.02
dust2C156–940%0.01
cacheS107–370%-0.02
officeB63–350%0.06
ancientS54–180%-0.00
train—22–0100%0.02
vertigo—21–150%-0.01
anubis—10–10%-0.06
overpass—11–0100%0.00
italy—10–10%0.06
palacio—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
67%Win rate
1.95Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

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.

19.0%Headshot accuracy
30.1%Accuracy (enemy spotted)
35.1%Spray accuracy
72.9%Counter-strafing
9.7°Preaim
593msReaction time
49.1%T opening success
37.4%CT opening success
0.51Enemies flashed / flash
8.8%Flash assists
8.49HE damage / grenade
8.41Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.4134% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–130.0116%22 Oct →
nuke13–10-0.0118%22 Oct →
nuke6–13-0.0018%21 Oct →
dust29–13-0.0423%21 Oct →
dust24–13-0.053%21 Oct →
cache1–13-0.0917%21 Oct →
nuke13–70.0211%21 Oct →
nuke13–110.1321%20 Oct →
mirage2–13-0.094%20 Oct →
dust24–130.027%20 Oct →
mirage4–13-0.0019%18 Oct →
mirage13–100.0422%18 Oct →
nuke13–60.0411%18 Oct →
mirage8–130.0417%6 Jul →
inferno13–00.0350%7 May →
cache2–13-0.077%7 May →
cache13–1-0.075%7 May →
cache13–30.0315%7 May →
cache6–0-0.060%6 May →
cache13–6-0.0023%6 May →
cache13–30.0234%1 May →
cache13–7-0.0317%1 May →
cache5–13-0.0939%1 May →
cache13–30.1220%1 May →
dust213–10.0220%26 Apr →
anubis7–13-0.0643%26 Apr →
train13–4-0.0315%26 Apr →
inferno13–80.0019%26 Apr →
inferno13–3-0.0417%15 Apr →
mirage13–30.0625%15 Apr →
mirage13–10.0228%15 Apr →
mirage13–4-0.0313%12 Apr →
inferno13–30.0329%12 Apr →
nuke13–60.0611%12 Apr →
mirage13–11-0.0524%5 Apr →
nuke5–13-0.0714%5 Apr →
nuke13–1-0.0322%5 Apr →
mirage13–2-0.058%4 Apr →
inferno12–1-0.0514%4 Apr →
dust213–20.0319%4 Apr →
mirage13–30.0624%4 Apr →
inferno7–13-0.0233%4 Apr →
inferno13–50.0326%4 Apr →
inferno11–130.0023%4 Apr →
ancient12–12-0.0017%4 Apr →
overpass13–00.0013%4 Apr →
dust213–40.0216%4 Apr →
italy12–120.0630%3 Apr →
dust213–70.0313%3 Apr →
vertigo13–40.0231%3 Apr →
ancient13–3-0.018%3 Apr →
inferno9–13-0.0515%25 Mar →
inferno5–130.0421%25 Mar →
inferno4–0-0.020%25 Mar →
mirage13–10-0.0419%25 Mar →
nuke13–30.1220%23 Mar →
inferno6–1-0.0210%23 Mar →
dust213–30.0418%23 Mar →
office13–40.0831%23 Mar →
mirage13–50.1124%23 Mar →
mirage13–40.0623%20 Mar →
office6–130.0826%13 Mar →
mirage9–130.0216%7 Mar →
nuke13–90.0011%7 Mar →
inferno13–20.0724%5 Mar →
office10–130.0229%3 Mar →
office4–130.1017%28 Feb →
dust213–110.0518%28 Feb →
nuke13–2-0.0712%27 Feb →
dust211–130.0211%26 Feb →
inferno13–60.0527%6 Oct →
inferno13–60.0916%4 Oct →
mirage13–40.1123%4 Oct →
palacio13–50.0424%4 Oct →
nuke15–150.0212%23 Sept →
inferno13–100.0017%23 Sept →
office13–60.0450%18 Sept →
dust210–130.0210%17 Sept →
dust28–130.0124%11 Sept →
ancient13–1-0.017%11 Sept →
inferno13–50.0519%11 Sept →
train13–40.079%6 Sept →
nuke9–130.0714%6 Sept →
nuke13–7-0.037%1 Jul →
office13–50.078%23 Mar →
dust210–13-0.0127%23 Mar →
nuke13–5-0.1133%1 Mar →
nuke13–2-0.0123%1 Mar →
inferno13–11-0.0321%1 Mar →
nuke13–5-0.0020%1 Mar →
inferno13–30.0633%1 Mar →
ancient13–30.0122%1 Mar →
inferno13–7-0.0318%5 Feb →
dust25–13-0.0416%4 Feb →
nuke9–40.083%4 Feb →
inferno11–130.0621%31 Jan →
dust29–130.0217%31 Jan →
mirage10–130.0326%31 Jan →
ancient7–10.0022%31 Jan →
vertigo5–13-0.0317%31 Jan →

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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