Ash Ketchum

Ash Ketchum — CS2 Stats

DE76561197960869483[U:1:603755]Steam profile ↗✓ No bans

1,193Tracked matches46%Win rate2020Tracked since
4,317Hours in CS9Hrs last 2 wks
CSDB Rating6.7 SolidClutch Specialist
Premier CS Rating22,131Top 50% of 211,827 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#54439 of 258923 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (29 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: 22,131 +2,168 18 Jun – 2 Oct · 7 days played
18,66622,131peak 22,13118 Jun2 Oct
22,131Peak Premier in tracked matches
41Days played since 2026-06-12

Premier CS Rating

  • At peak — 22,131
  • +1,443 over 30 days · improving
  • +3,180 over 90 days
  • Next: Red band at 25,000 — 2,869 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate39.9%43.8%44.8%4.9% short
Shot accuracy11.1%12.0%12.4%1.3% short
Kill/death ratio1.291.021.03above
Match win rate52.5%44.7%45.2%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAsh KetchumFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER22,131 · Pink 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

Aim79
Positioning69
Utility59

0–100 skill scores via Leetify.

Recent form

COLD39–52–9Last 10039%Win rateLTWWWTLLLL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −2.9pp headshot accuracy · +44ms reaction

Win rate down 30pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 545ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 511ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 489ms

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 against its own average).

Aim7.9
Utility5.9
Positioning6.9
Opening Duels7.1
Clutch8.0

Strong CT-side openerReliable in 1v1s

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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 60% T opening-duel success — entries that actually open the round.

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

Aim7.9
Positioning6.9
Utility5.9
Mechanics4.6
Opening Duels8.4
Win Impact3.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.04
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time477ms−57ms
first ⅓ avg 534ms → last ⅓ avg 477ms
Headshot accuracy17.7%−0.3%
first ⅓ avg 18.0% → last ⅓ avg 17.7%

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 · 9–13 · dust2, 2 Oct →
67%Best headshot accuracy · 6–0 · nuke, 28 Sept →
266msFastest reaction time · 6–0 · nuke, 28 Sept →
13–0Biggest win · dust2, 24 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 43% over 7cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C7227–4538%0.02
infernoC73–443%-0.01
cacheD62–433%0.02
mirage—41–325%-0.05
nuke—43–175%0.02
vertigo—41–325%-0.02
eldorado—10–10%-0.05
ancient—11–0100%0.06
anubis—11–0100%-0.03

Across the last 100 tracked matches.

Lifetime stats

41,171Lifetime kills
1.29K/D · Top 25% of Level 5 players
1,988Matches
52.5%Match win rate · Top 10% of Level 5 players
39.9%Headshot %
11.1%Shot accuracy
5,621MVPs
749Hours (in match)
2,472Bombs planted
507Bombs defused

Most-used weapons

Lifetime map wins

13,343dust2
1,652inferno
528nuke
181vertigo
110train
65office
61cbble
56lake

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

Faceit stats

Combat

82Matches
51%Win rate
1.28Avg K/D
94.8ADR
33%Headshot %

Clutches & streaks

60%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%1.6524.0
Anubis20%1.0615.5
Inferno1100%0.9623.0
Train1100%1.6720.0

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.

16.3%Headshot accuracy
36.9%Accuracy (enemy spotted)
38.1%Spray accuracy
70.7%Counter-strafing
7.9°Preaim
472msReaction time
60.3%T opening success
66.7%CT opening success
0.67Enemies flashed / flash
8.0%Flash assists
9.44HE damage / grenade
9.36Flashes / match

Recommended for you

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust23–7-0.090%30 Oct →
dust212–120.0614%30 Oct →
dust213–90.1015%29 Oct →
dust213–9-0.0116%29 Oct →
dust213–100.0111%29 Oct →
dust212–120.1014%29 Oct →
dust27–13-0.0427%27 Oct →
eldorado7–9-0.0515%26 Oct →
dust22–8-0.0117%25 Oct →
dust210–13-0.0514%25 Oct →
dust27–13-0.029%25 Oct →
dust212–120.0111%19 Oct →
dust213–60.0710%19 Oct →
inferno13–20.0515%19 Oct →
ancient13–90.0617%19 Oct →
dust213–80.0720%17 Oct →
dust213–50.0816%15 Oct →
dust28–130.0622%15 Oct →
dust213–90.0319%12 Oct →
dust27–130.0632%12 Oct →
dust22–130.109%5 Oct →
dust213–90.0116%3 Oct →
dust211–130.1321%3 Oct →
dust213–60.1014%3 Oct →
dust22–13-0.1218%3 Oct →
dust210–130.0830%3 Oct →
cache10–13-0.0117%3 Oct →
dust29–130.1012%3 Oct →
dust212–120.0718%3 Oct →
dust29–130.1316%2 Oct →
mirage13–6-0.0114%2 Oct →
nuke6–00.0267%28 Sept →
vertigo5–13-0.0020%28 Sept →
vertigo3–13-0.1110%28 Sept →
vertigo12–120.0316%28 Sept →
dust213–30.1223%28 Sept →
dust211–13-0.0212%28 Sept →
cache6–13-0.0323%28 Sept →
dust213–40.0528%28 Sept →
dust210–13-0.0219%27 Sept →
dust213–90.0412%27 Sept →
dust210–13-0.0221%27 Sept →
dust213–80.0211%27 Sept →
cache13–9-0.0219%26 Sept →
dust213–5-0.0310%26 Sept →
dust213–100.0926%23 Sept →
dust29–130.0941%23 Sept →
dust23–13-0.0728%23 Sept →
dust26–130.0122%16 Sept →
dust27–13-0.0019%10 Sept →
dust23–13-0.0016%10 Sept →
dust212–120.0311%10 Sept →
dust210–130.0217%9 Sept →
dust24–13-0.0411%9 Sept →
nuke13–110.0521%29 Aug →
dust213–50.0126%28 Aug →
cache13–80.0726%28 Aug →
dust213–40.0625%25 Aug →
dust213–100.0618%24 Aug →
dust213–00.0320%24 Aug →
inferno13–80.1013%17 Aug →
dust26–130.0118%17 Aug →
dust216–120.0129%16 Aug →
dust212–12-0.0114%2 Aug →
dust26–130.0922%29 Jul →
vertigo13–7-0.0217%29 Jul →
dust29–130.0811%28 Jul →
dust26–13-0.120%23 Jul →
dust28–13-0.0212%21 Jul →
cache10–130.1014%21 Jul →
dust213–110.0227%21 Jul →
dust213–11-0.0219%21 Jul →
dust212–120.0215%21 Jul →
dust28–130.0518%20 Jul →
dust216–140.0623%19 Jul →
nuke13–70.0220%19 Jul →
nuke9–13-0.0012%19 Jul →
inferno4–11-0.0515%19 Jul →
dust213–40.0019%11 Jul →
mirage9–13-0.057%11 Jul →
mirage11–13-0.0933%4 Jul →
cache8–130.0311%28 Jun →
dust29–13-0.0820%28 Jun →
dust29–20.0313%28 Jun →
inferno2–13-0.0321%28 Jun →
dust27–13-0.0020%27 Jun →
mirage14–16-0.0417%21 Jun →
inferno5–13-0.1118%21 Jun →
dust210–13-0.0117%21 Jun →
inferno7–13-0.0115%21 Jun →
dust213–7-0.0122%21 Jun →
dust20–5-0.0560%20 Jun →
dust210–130.0520%20 Jun →
dust212–120.0517%20 Jun →
inferno16–140.019%18 Jun →
anubis13–8-0.0316%18 Jun →
dust20–13-0.030%18 Jun →
dust213–100.0018%16 Jun →
dust23–120.0218%16 Jun →
dust211–130.0228%12 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.