Puglovable

Puglovable — CS2 Stats

76561198245786406[U:1:285520678]Steam profile ↗✓ No bans

62Tracked matches57%Win rate2023Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating14,336Blue band · top ~31.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 May 2025 (510 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: 14,336 +412 18 May – 25 May · 5 days played
13,92415,021peak 15,02118 May25 May
15,483Peak Premier in tracked matches
16Days played since 2023-09-17

Premier CS Rating

  • 685 below peak (15,021)
  • Next: Purple band at 15,000 — 664 to go
  • Reached: 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.

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CSDB.GGPuglovablePREMIER14,336 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning35
Utility76

0–100 skill scores via Leetify.

Recent form

COLD31–27–3Last 6151%Win rateTLLLWLWLLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +1.6pp headshot accuracy · −60ms reaction

Win rate down 50pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 31%
  • Avg reaction 628ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 616ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 646ms

Newest first, from the last 61 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 (+3.9 against its own average).

Aim5.9
Utility7.6
Positioning3.5
Opening Duels0.0

Excellent counter-strafingHigh utility contribution

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 68% 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

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Reaction time. 645ms 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

Aim5.9
Positioning3.5
Utility7.6
Mechanics8.8
Opening Duels0.0
Win Impact7.4

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.07
first ⅓ avg 0.05 → last ⅓ avg -0.02
Reaction time646ms+7ms
first ⅓ avg 639ms → last ⅓ avg 646ms
Headshot accuracy20.1%+6.1%
first ⅓ avg 13.9% → last ⅓ avg 20.1%

Rolling 5-match average across the last 61 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.19Best match rating · 13–3 · anubis, 27 Dec →
100%Best headshot accuracy · 5–13 · ancient, 25 May →
313msFastest reaction time · 10–1 · mirage, 25 May →
13–0Biggest win · mirage, 23 May →

Across the last 61 tracked matches.

Highlights

6Longest win streak
4–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 67% over 18infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB1910–953%0.01
dust2S1812–667%0.00
infernoD103–730%0.01
anubisA53–260%0.03
ancient—41–325%-0.03
nuke—42–250%0.02
vertigo—10–10%0.01

Across the last 61 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). 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.

17.1%Headshot accuracy
29.5%Accuracy (enemy spotted)
33.1%Spray accuracy
89.8%Counter-strafing
10.1°Preaim
645msReaction time
20.9%T opening success
26.2%CT opening success
0.64Enemies flashed / flash
7.1%Flash assists
8.72HE damage / grenade
9.67Flashes / 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 20.9063% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0211%25 May →
mirage11–130.0015%25 May →
ancient5–13-0.11100%25 May →
inferno6–130.0113%25 May →
dust213–50.0117%25 May →
ancient11–130.0111%25 May →
mirage10–1-0.090%25 May →
inferno3–8-0.0918%25 May →
nuke9–13-0.0018%24 May →
anubis7–13-0.007%24 May →
nuke8–9-0.0216%24 May →
dust213–10-0.0516%24 May →
mirage13–11-0.0514%24 May →
mirage13–11-0.0314%24 May →
mirage13–00.0138%23 May →
dust25–0-0.0333%23 May →
dust213–40.0312%20 May →
anubis9–13-0.024%20 May →
dust213–60.0824%18 May →
dust21–13-0.0121%18 May →
inferno7–13-0.0413%18 May →
dust213–20.0524%18 May →
ancient13–9-0.025%18 May →
dust24–13-0.0526%18 May →
dust213–4-0.0618%18 May →
mirage13–60.0312%17 May →
anubis13–30.029%3 May →
dust213–100.0213%3 May →
nuke13–30.0011%3 May →
dust215–15-0.0614%3 May →
mirage4–13-0.0215%3 May →
inferno7–130.0331%3 May →
mirage4–13-0.104%3 May →
inferno8–130.0414%3 May →
mirage11–13-0.0218%3 May →
dust213–20.0717%3 May →
dust213–11-0.0517%2 May →
mirage4–13-0.0317%2 May →
mirage16–130.0318%2 May →
anubis13–10-0.026%9 Jan →
ancient15–15-0.0115%9 Jan →
inferno13–100.0617%7 Jan →
mirage9–13-0.0312%7 Jan →
inferno13–90.0316%7 Jan →
mirage9–130.0411%7 Jan →
vertigo13–160.0119%7 Jan →
inferno11–130.0214%28 Dec →
mirage13–50.0520%28 Dec →
mirage13–110.0820%27 Dec →
mirage13–1-0.009%27 Dec →
anubis13–30.1912%27 Dec →
nuke13–10.0820%27 Dec →
inferno16–50.076%26 Sept →
inferno14–16-0.0414%26 Sept →
mirage16–120.1514%22 Sept →
dust210–160.0210%21 Sept →
dust27–160.0511%21 Sept →
dust216–9-0.0216%21 Sept →
dust216–110.1011%21 Sept →
mirage14–160.1011%17 Sept →
mirage12–160.1115%17 Sept →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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