Pugstoppable

Pugstoppable — CS2 Stats

US76561198037294222[U:1:77028494]Steam profile ↗✓ No bans

254Tracked matches60%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,164 +9,043 11 Nov – 9 Jan · 31 days played
9,12118,686peak 18,68611 Nov9 Jan
18,686Peak Premier in tracked matches
45Days played since 2023-11-11

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

Performance scores

Aim61
Positioning48
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLWWWLWWLLL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · +4.3pp headshot accuracy · +106ms reaction

Win rate down 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 667ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 675ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 622ms

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 (+1.3 against its own average).

Aim6.1
Utility3.0
Positioning4.8
Opening Duels2.6

Excellent counter-strafing

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

donk

Plays most like donk 97% playstyle similarity

Most alike: opening-duel success, positioning profile.

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.

T-side openings. Opening success drops from 42% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim6.1
Positioning4.8
Utility3.0
Mechanics8.6
Opening Duels1.5
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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time615ms+7ms
first ⅓ avg 608ms → last ⅓ avg 615ms
Headshot accuracy17.2%+1.8%
first ⅓ avg 15.3% → last ⅓ avg 17.2%

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

0.12Best match rating · 13–5 · anubis, 21 Nov →
33%Best headshot accuracy · 13–5 · mirage, 5 Dec →
398msFastest reaction time · 9–13 · inferno, 18 Nov →
13–1Biggest win · vertigo, 5 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 70% over 10ancientWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA3219–1359%0.00
infernoB2513–1252%0.01
ancientC146–843%0.01
nukeS107–370%0.02
vertigoS64–267%0.03
dust2A53–260%-0.02
anubisA53–260%0.04
overpass—32–167%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

36Matches
58%Win rate
0.98Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

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.

17.7%Headshot accuracy
30.1%Accuracy (enemy spotted)
33.0%Spray accuracy
88.7%Counter-strafing
10.4°Preaim
620msReaction time
17.0%T opening success
41.7%CT opening success
0.69Enemies flashed / flash
4.3%Flash assists
9.51HE damage / grenade
11.18Flashes / 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

    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 17.0222% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0814%29 Jun →
mirage13–10-0.0023%29 Jun →
mirage13–4-0.0623%5 Apr →
dust216–12-0.0016%4 Apr →
mirage12–16-0.0530%6 Aug →
nuke13–100.0114%5 Aug →
mirage13–6-0.0615%5 Aug →
ancient10–130.0620%5 Aug →
mirage10–13-0.0020%30 Jul →
nuke6–13-0.0015%18 May →
dust213–110.0223%8 May →
inferno11–20.088%1 May →
mirage13–50.0523%1 May →
inferno13–110.0716%30 Apr →
mirage13–60.0215%30 Apr →
inferno12–30.009%27 Mar →
dust213–5-0.004%27 Mar →
dust211–13-0.0225%25 Mar →
ancient11–130.0313%13 Nov →
inferno8–130.0613%12 Nov →
mirage8–130.0521%9 Jan →
inferno13–80.0718%27 Dec →
nuke10–130.0618%27 Dec →
mirage13–7-0.0210%26 Dec →
mirage13–80.0115%26 Dec →
nuke13–70.1016%26 Dec →
mirage11–13-0.0514%26 Dec →
mirage13–2-0.039%22 Dec →
mirage12–160.0231%22 Dec →
mirage13–3-0.0220%22 Dec →
inferno11–130.0123%21 Dec →
inferno13–10-0.0815%20 Dec →
vertigo13–100.0116%17 Dec →
overpass13–50.0418%17 Dec →
inferno13–50.0817%17 Dec →
ancient10–13-0.0017%16 Dec →
mirage11–130.0213%16 Dec →
nuke13–10-0.0324%16 Dec →
nuke15–150.0618%14 Dec →
inferno13–40.0422%14 Dec →
nuke13–30.0213%14 Dec →
nuke13–8-0.0224%13 Dec →
ancient3–13-0.0610%13 Dec →
mirage13–10-0.059%12 Dec →
vertigo13–11-0.0110%12 Dec →
mirage7–130.0118%9 Dec →
inferno0–13-0.1310%9 Dec →
inferno13–110.0220%9 Dec →
mirage13–8-0.0211%8 Dec →
mirage13–60.0314%8 Dec →
inferno15–150.0013%7 Dec →
inferno13–60.0129%7 Dec →
mirage13–40.0620%6 Dec →
ancient10–3-0.0817%6 Dec →
vertigo10–130.0627%6 Dec →
vertigo13–10.0829%5 Dec →
mirage13–5-0.0433%5 Dec →
inferno3–120.1014%5 Dec →
mirage9–13-0.0613%4 Dec →
inferno5–13-0.0715%30 Nov →
inferno13–70.0214%30 Nov →
ancient13–40.1117%30 Nov →
anubis13–50.1013%29 Nov →
mirage4–13-0.078%29 Nov →
ancient10–130.0620%29 Nov →
mirage13–70.0615%28 Nov →
inferno13–100.0814%28 Nov →
anubis3–13-0.0114%28 Nov →
overpass3–13-0.0518%27 Nov →
inferno5–13-0.048%27 Nov →
mirage9–13-0.0211%27 Nov →
mirage13–70.0915%22 Nov →
inferno12–16-0.0316%22 Nov →
ancient13–30.129%22 Nov →
anubis13–50.1212%21 Nov →
mirage13–70.0321%21 Nov →
inferno4–13-0.0527%21 Nov →
inferno9–13-0.0014%18 Nov →
mirage13–50.0817%18 Nov →
ancient8–13-0.0513%18 Nov →
mirage6–130.0221%18 Nov →
mirage7–130.0519%17 Nov →
nuke13–80.0013%17 Nov →
ancient13–10.0218%17 Nov →
ancient13–11-0.0515%16 Nov →
inferno11–130.0222%16 Nov →
inferno11–13-0.0119%16 Nov →
ancient9–13-0.0413%15 Nov →
anubis16–120.0112%15 Nov →
mirage13–90.0312%14 Nov →
inferno13–40.0217%14 Nov →
nuke13–90.0013%13 Nov →
ancient13–9-0.0010%13 Nov →
anubis6–130.0023%12 Nov →
ancient11–13-0.0020%12 Nov →
vertigo9–13-0.0223%12 Nov →
overpass13–4-0.0217%12 Nov →
inferno13–4-0.028%12 Nov →
vertigo13–80.089%12 Nov →
mirage9–13-0.037%11 Nov →

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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