Ashley

Ashley — CS2 Stats

LV76561198288576205[U:1:328310477]Steam profile ↗✓ No bans

151Tracked matches66%Win rate2020Tracked since
1,678Hours in CS7Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,835 +4,192 9 Jun – 28 Sept · 19 days played
9,64314,071peak 14,0719 Jun28 Sept
14,071Peak Premier in tracked matches
46Days played since 2026-05-28

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

Performance scores

Aim52
Positioning50
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateLWWWLWWWLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +1.1pp headshot accuracy · +37ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 597ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 567ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 549ms

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 (+2.6 against its own average).

Aim5.2
Utility2.1
Positioning5.0
Opening Duels0.0

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

iM

Plays most like iM 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

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

Aim5.2
Positioning5.0
Utility2.1
Mechanics4.7
Opening Duels0.0
Win Impact10.0

Composite 4.6/10 (Developing), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time526ms−51ms
first ⅓ avg 577ms → last ⅓ avg 526ms
Headshot accuracy15.2%+2.4%
first ⅓ avg 12.8% → last ⅓ avg 15.2%

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.

Personal bests

0.22Best match rating · 6–1 · nuke, 13 Jul →
40%Best headshot accuracy · 6–0 · office, 18 Aug →
305msFastest reaction time · 0–3 · train, 7 Oct →
13–0Biggest win · shelter, 7 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 83% over 6cacheWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
nukeB2714–1352%-0.01
mirageB2210–1245%-0.00
cacheC167–944%-0.00
officeB105–550%0.01
anubisS65–183%-0.00
inferno—43–175%-0.00
overpass—43–175%-0.00
train—32–167%0.01
shelter—32–167%0.04
vertigo—31–233%0.04
ancient—10–10%-0.02
dust2—10–10%0.09

Across the last 100 tracked matches.

Lifetime stats

70,665Lifetime kills
1.18K/D · Top 25% of tracked players
4,126Matches
30.0%Match win rate
34.7%Headshot %
19.9%Shot accuracy · Top 5% of tracked players
2,837MVPs
1,025Hours (in match)
1,483Bombs planted
333Bombs defused

Most-used weapons

AK-4714,593
AWP8,704
AUG3,413
SG 5533,402
MP72,411
UMP-452,140

Lifetime map wins

3,258nuke
2,262dust2
959inferno
946vertigo
457cbble
300train
175office
72lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.7%Headshot accuracy
30.6%Accuracy (enemy spotted)
30.3%Spray accuracy
71.3%Counter-strafing
10.2°Preaim
542msReaction time
18.0%T opening success
29.4%CT opening success
0.40Enemies flashed / flash
6.2%Flash assists
5.28HE damage / grenade
0.89Flashes / 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 0.4019 — 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 18.007% — 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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0217%25 Oct →
nuke13–70.0322%25 Oct →
nuke13–40.0110%22 Oct →
cache13–80.1018%22 Oct →
cache5–13-0.0319%22 Oct →
nuke13–9-0.0314%7 Oct →
cache13–80.0513%7 Oct →
train13–100.0518%7 Oct →
train0–3-0.050%7 Oct →
cache10–130.0622%28 Sept →
nuke13–3-0.025%22 Sept →
mirage13–40.0222%22 Sept →
nuke14–16-0.0415%18 Sept →
mirage15–150.0319%18 Sept →
cache13–70.004%4 Sept →
inferno13–90.0119%4 Sept →
office12–10.0518%2 Sept →
office13–11-0.0018%2 Sept →
office9–130.058%23 Aug →
office13–110.0613%23 Aug →
office1–100.000%22 Aug →
office10–130.0123%22 Aug →
office13–50.0011%22 Aug →
office9–13-0.0312%20 Aug →
office7–13-0.0720%18 Aug →
office6–00.0840%18 Aug →
nuke8–20.0220%18 Aug →
cache13–80.0317%18 Aug →
inferno13–10-0.0312%17 Aug →
mirage13–50.0012%17 Aug →
anubis13–60.0110%17 Aug →
ancient11–13-0.0218%9 Aug →
nuke11–13-0.0715%9 Aug →
nuke11–13-0.0212%8 Aug →
mirage3–130.006%8 Aug →
shelter13–50.0326%7 Aug →
shelter13–00.0713%7 Aug →
shelter11–130.0115%7 Aug →
vertigo13–10.1215%7 Aug →
nuke4–13-0.0814%7 Aug →
cache5–13-0.038%2 Aug →
vertigo5–13-0.0211%29 Jul →
cache10–13-0.0410%29 Jul →
cache12–120.0010%29 Jul →
nuke13–11-0.0214%23 Jul →
mirage2–13-0.0613%20 Jul →
nuke9–13-0.059%20 Jul →
mirage15–15-0.047%19 Jul →
nuke13–80.0215%18 Jul →
mirage12–160.0112%17 Jul →
cache7–13-0.017%17 Jul →
cache4–13-0.079%15 Jul →
mirage2–13-0.0310%15 Jul →
anubis13–8-0.053%14 Jul →
mirage16–13-0.0611%13 Jul →
mirage13–70.0012%13 Jul →
nuke6–10.2220%13 Jul →
mirage13–70.0316%12 Jul →
cache2–13-0.100%12 Jul →
mirage13–10-0.0213%12 Jul →
dust28–130.0914%12 Jul →
cache7–13-0.0413%10 Jul →
nuke10–13-0.0413%10 Jul →
anubis13–50.039%10 Jul →
cache13–10-0.0111%9 Jul →
mirage6–13-0.058%9 Jul →
cache13–3-0.0318%9 Jul →
cache13–60.1023%7 Jul →
train13–40.029%7 Jul →
nuke13–20.0116%5 Jul →
anubis13–8-0.0313%5 Jul →
anubis13–50.037%30 Jun →
mirage8–13-0.044%30 Jun →
mirage8–130.024%29 Jun →
overpass13–90.0013%29 Jun →
inferno9–130.0011%26 Jun →
nuke12–120.0413%22 Jun →
nuke13–40.1014%22 Jun →
nuke8–13-0.0510%19 Jun →
inferno16–130.0110%18 Jun →
mirage13–10.1413%18 Jun →
mirage5–13-0.0328%15 Jun →
nuke13–60.016%15 Jun →
mirage13–50.008%12 Jun →
nuke15–15-0.0015%9 Jun →
mirage13–40.0413%9 Jun →
overpass13–70.0513%9 Jun →
mirage13–7-0.0515%5 Jun →
nuke13–9-0.0215%5 Jun →
mirage15–150.0418%5 Jun →
vertigo5–130.0217%3 Jun →
mirage10–130.0215%3 Jun →
overpass13–30.0022%3 Jun →
nuke8–130.057%2 Jun →
nuke13–8-0.0420%1 Jun →
nuke0–13-0.0311%29 May →
nuke9–13-0.038%29 May →
nuke12–12-0.0810%29 May →
nuke8–1-0.048%28 May →
overpass5–13-0.0617%28 May →

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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