(>^_^)>Ashley

(>^_^)>Ashley — CS2 Stats

US76561198050545937[U:1:90280209]Steam profile ↗✓ No bans

1,159Tracked matches40%Win rate2020Tracked since
CSDB Rating4.2 DevelopingSupport
WingmanSilver IV
Ladder ranks via Leetify

Performance scores

Aim49
Positioning38
Utility50

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLWLWLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +0.3pp headshot accuracy · −51ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 711ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 663ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 688ms

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 (+2.1 against its own average).

Aim4.9
Utility5.0
Positioning3.8
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

Twistzz

Plays most like Twistzz 81% 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. 696ms 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

Aim4.9
Positioning3.8
Utility5.0
Mechanics6.9
Opening Duels0.6
Win Impact1.7

Composite 4.2/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time675ms−84ms
first ⅓ avg 759ms → last ⅓ avg 675ms
Headshot accuracy9.3%−0.9%
first ⅓ avg 10.2% → last ⅓ avg 9.3%

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

0.11Best match rating · 13–6 · mirage, 24 May →
24%Best headshot accuracy · 13–4 · dust2, 31 Jul →
500msFastest reaction time · 5–13 · inferno, 7 Sept →
13–1Biggest win · mirage, 29 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 51% over 51infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B5126–2551%-0.01
mirageB3216–1650%-0.01
infernoD92–722%-0.02
ancient—31–233%-0.04
nuke—20–20%-0.01
anubis—11–0100%0.03
cache—11–0100%0.03
overpass—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.5%Headshot accuracy
33.1%Accuracy (enemy spotted)
39.7%Spray accuracy
81.2%Counter-strafing
10.2°Preaim
696msReaction time
25.0%T opening success
34.7%CT opening success
0.68Enemies flashed / flash
4.8%Flash assists
16.44HE damage / grenade
4.83Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.5224% — below the 15% mark we flag

    Aim Training →
  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 24.9522% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0516%9 Oct →
mirage13–11-0.036%6 Oct →
inferno9–13-0.0215%6 Oct →
mirage13–9-0.0017%5 Oct →
nuke8–13-0.0612%5 Oct →
dust22–70.000%4 Oct →
dust25–13-0.100%4 Oct →
mirage13–30.0110%4 Oct →
nuke13–160.0411%26 Sept →
ancient4–13-0.053%26 Sept →
mirage11–130.0011%26 Sept →
dust21–13-0.024%26 Sept →
dust29–20.0314%26 Sept →
dust24–3-0.000%26 Sept →
dust213–60.0116%26 Sept →
dust213–70.056%26 Sept →
dust25–13-0.068%26 Sept →
dust213–80.027%20 Sept →
dust213–3-0.0312%20 Sept →
mirage2–130.0210%20 Sept →
dust27–13-0.055%20 Sept →
mirage0–20.000%20 Sept →
mirage13–70.0115%7 Sept →
inferno5–13-0.0113%7 Sept →
inferno8–13-0.028%7 Sept →
mirage7–13-0.0412%7 Sept →
mirage13–5-0.0320%7 Sept →
dust28–13-0.0316%7 Sept →
inferno13–60.0411%7 Sept →
dust210–13-0.062%7 Sept →
mirage13–9-0.0115%4 Sept →
mirage13–10.086%29 Aug →
anubis13–80.037%29 Aug →
ancient5–13-0.1116%29 Aug →
dust213–80.0312%29 Aug →
dust213–70.045%27 Aug →
dust213–4-0.057%25 Aug →
mirage9–130.049%23 Aug →
dust22–6-0.0322%23 Aug →
dust211–130.052%16 Aug →
mirage8–13-0.0212%7 Aug →
dust25–13-0.0413%7 Aug →
mirage13–9-0.0512%7 Aug →
dust27–13-0.0315%7 Aug →
dust213–9-0.037%5 Aug →
mirage8–13-0.0511%5 Aug →
mirage13–11-0.0519%2 Aug →
dust29–130.0016%2 Aug →
mirage13–9-0.036%1 Aug →
dust29–13-0.0523%1 Aug →
dust213–40.0324%31 Jul →
inferno5–13-0.0915%12 Jul →
dust210–13-0.029%12 Jul →
mirage7–130.029%12 Jul →
mirage13–7-0.0110%7 Jul →
mirage5–13-0.0616%7 Jul →
dust213–60.026%7 Jul →
mirage4–13-0.095%6 Jul →
mirage7–13-0.089%6 Jul →
mirage6–100.1018%6 Jul →
dust213–9-0.0114%6 Jul →
mirage15–15-0.016%27 Jun →
inferno13–3-0.034%27 Jun →
dust24–13-0.0815%21 Jun →
mirage13–90.0213%21 Jun →
dust213–7-0.0412%11 Jun →
dust23–8-0.0311%11 Jun →
dust213–9-0.024%10 Jun →
mirage11–13-0.020%10 Jun →
dust213–11-0.0122%9 Jun →
mirage13–110.089%7 Jun →
dust213–70.098%7 Jun →
dust210–13-0.014%7 Jun →
dust213–80.0311%4 Jun →
dust26–13-0.0619%4 Jun →
dust212–12-0.0218%31 May →
mirage11–13-0.012%29 May →
dust213–50.026%29 May →
dust213–6-0.0111%28 May →
dust25–13-0.0610%28 May →
dust213–40.0413%28 May →
cache13–80.037%25 May →
dust210–13-0.074%25 May →
dust213–90.0017%25 May →
dust213–10-0.0312%25 May →
mirage13–60.1113%24 May →
mirage16–13-0.008%23 May →
mirage4–13-0.068%23 May →
overpass9–13-0.0815%23 May →
inferno8–13-0.0110%23 May →
dust210–13-0.0116%12 May →
inferno1–13-0.0110%10 May →
ancient13–90.0314%10 May →
dust22–13-0.076%10 May →
mirage13–60.029%10 May →
dust213–50.058%10 May →
dust213–110.0112%7 May →
dust213–8-0.017%7 May →
dust212–12-0.0115%5 May →
dust210–13-0.0310%5 May →

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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