PA

PA — CS2 Stats

KY76561198354715340[U:1:394449612]Steam profile ↗✓ No bans

497Tracked matches31%Win rate2023Tracked since
CSDB Rating5.2 DevelopingPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 497
0.0ppWin rate · 31.0% → 31.0%

Rating over time

Premier CS Rating: 16,367 -533 15 Mar – 16 Apr · 11 days played
15,19118,165peak 18,16515 Mar16 Apr
18,165Peak Premier in tracked matches
50Days played since 2026-03-15

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

Performance scores

Aim53
Positioning66
Utility57

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateWLLLWLLLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −4.6pp headshot accuracy · +5ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 587ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 580ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 577ms

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 (+0.9 against its own average).

Aim5.3
Utility5.7
Positioning6.6
Opening Duels4.7

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

jL

Plays most like jL 76% 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. 587ms 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

Aim5.3
Positioning6.6
Utility5.7
Mechanics6.3
Opening Duels4.8
Win Impact0.0

Composite 5.2/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time593ms−39ms
first ⅓ avg 632ms → last ⅓ avg 593ms
Headshot accuracy18.0%+3.4%
first ⅓ avg 14.6% → last ⅓ avg 18.0%

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

0.27Best match rating · 7–0 · anubis, 20 Aug →
36%Best headshot accuracy · 13–10 · cache, 22 Jul →
414msFastest reaction time · 8–13 · train, 7 Oct →
13–0Biggest win · cache, 24 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 80% over 5mirageWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
cacheB4018–2245%-0.01
mirageD153–1220%-0.01
infernoB136–746%0.01
dust2C83–538%-0.02
anubisC52–340%0.02
ancientS54–180%-0.03
train—42–250%-0.02
overpass—41–325%0.01
vertigo—31–233%-0.01
nuke—22–0100%-0.01
alpine—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 15). Start with the 5 essential Mirage 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.

17.5%Headshot accuracy
27.9%Accuracy (enemy spotted)
28.4%Spray accuracy
78.5%Counter-strafing
9.2°Preaim
587msReaction time
47.7%T opening success
50.7%CT opening success
0.62Enemies flashed / flash
1.6%Flash assists
13.74HE damage / grenade
6.48Flashes / match

Recommended for you

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–40.0412%11 Nov →
cache11–13-0.108%2 Nov →
dust26–13-0.0312%2 Nov →
mirage5–130.0215%2 Nov →
inferno13–110.028%29 Oct →
dust27–130.0118%29 Oct →
mirage4–130.0022%29 Oct →
mirage10–13-0.009%26 Oct →
cache13–10.1320%26 Oct →
vertigo7–13-0.0222%24 Oct →
vertigo5–13-0.0424%19 Oct →
dust26–13-0.0615%18 Oct →
train8–13-0.0821%7 Oct →
train6–13-0.0712%6 Oct →
dust213–10-0.0115%7 Sept →
cache5–13-0.0618%7 Sept →
inferno13–50.0124%7 Sept →
inferno4–130.0220%6 Sept →
cache11–130.0221%1 Sept →
mirage5–13-0.0221%1 Sept →
mirage7–13-0.0525%31 Aug →
anubis9–13-0.0727%31 Aug →
overpass4–130.0111%30 Aug →
inferno9–130.0427%30 Aug →
overpass10–13-0.0215%27 Aug →
mirage13–80.0421%27 Aug →
inferno13–110.0915%27 Aug →
train13–80.0619%26 Aug →
inferno12–12-0.0313%25 Aug →
train13–80.0023%24 Aug →
cache13–00.0415%24 Aug →
anubis4–13-0.0616%24 Aug →
anubis7–00.2731%20 Aug →
dust25–13-0.0220%20 Aug →
vertigo13–10.0124%20 Aug →
nuke13–80.0311%18 Aug →
dust21–13-0.0617%13 Aug →
ancient13–40.0111%13 Aug →
mirage11–13-0.0412%10 Aug →
anubis9–13-0.0810%10 Aug →
cache8–130.0117%9 Aug →
dust213–5-0.0010%3 Aug →
mirage2–13-0.056%3 Aug →
cache3–13-0.0922%3 Aug →
mirage12–120.0725%31 Jul →
cache3–13-0.0521%31 Jul →
mirage7–13-0.0313%23 Jul →
cache13–10-0.0336%22 Jul →
alpine5–13-0.0515%8 Jul →
cache6–13-0.0119%8 Jul →
cache13–8-0.0222%8 Jul →
cache12–120.0215%1 Jul →
cache7–130.017%1 Jul →
cache10–13-0.049%30 Jun →
inferno4–13-0.019%15 Jun →
mirage6–13-0.0710%15 Jun →
cache6–13-0.0010%15 Jun →
cache13–40.1428%15 Jun →
cache9–13-0.0617%27 May →
cache9–13-0.0113%27 May →
cache5–13-0.0516%18 May →
cache13–100.0321%18 May →
cache11–13-0.0319%17 May →
cache13–60.0820%17 May →
cache1–13-0.0715%17 May →
cache13–8-0.0422%14 May →
cache13–9-0.0220%14 May →
cache13–60.0213%14 May →
cache13–8-0.048%14 May →
cache13–6-0.0120%14 May →
cache12–120.0716%12 May →
cache13–11-0.0520%12 May →
cache10–130.068%12 May →
cache13–8-0.0515%11 May →
cache13–7-0.0213%11 May →
cache13–40.0324%11 May →
cache6–13-0.0221%7 May →
cache9–13-0.019%7 May →
cache10–13-0.0214%7 May →
cache13–100.0719%29 Apr →
cache13–9-0.0217%29 Apr →
cache6–13-0.0213%29 Apr →
mirage13–5-0.0222%16 Apr →
inferno13–60.0316%16 Apr →
inferno13–90.0211%13 Apr →
ancient13–10-0.048%12 Apr →
overpass6–13-0.0116%9 Apr →
inferno4–13-0.0613%9 Apr →
inferno8–13-0.0615%6 Apr →
mirage3–13-0.0518%6 Apr →
mirage13–70.0715%1 Apr →
overpass13–80.0412%29 Mar →
ancient13–90.0222%29 Mar →
dust213–70.0011%26 Mar →
inferno13–7-0.0111%26 Mar →
inferno8–130.0114%23 Mar →
ancient13–3-0.0118%22 Mar →
mirage7–13-0.0915%22 Mar →
nuke13–6-0.0410%15 Mar →
ancient7–13-0.115%15 Mar →

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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