PugBread

PugBread — CS2 Stats

76561198028120803[U:1:67855075]Steam profile ↗✓ No bans

124Tracked matches46%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating13,535Blue band · top ~36.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Jan 2024 (1012 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: 13,535 +7,711 13 Nov – 9 Jan · 17 days played
5,82413,535peak 13,53513 Nov9 Jan
13,535Peak Premier in tracked matches
25Days played since 2020-06-05

Premier CS Rating

  • At peak — 13,535
  • +3,655 over 30 days · improving
  • Next: Purple band at 15,000 — 1,465 to go
  • Reached: 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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Performance scores

Aim32
Positioning32
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY24–27–4Last 5544%Win rateWTLLTWWWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +2.9pp headshot accuracy · −16ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 575ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 654ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 662ms

Newest first, from the last 55 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 (+3.7 against its own average).

Aim3.2
Utility7.1
Positioning3.2
Opening Duels0.0

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 61% 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

T-side openings. Opening success drops from 30% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 660ms 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

Aim3.2
Positioning3.2
Utility7.1
Mechanics7.1
Opening Duels0.0
Win Impact3.7

Composite 3.9/10 (Learning), 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-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time657ms+5ms
first ⅓ avg 652ms → last ⅓ avg 657ms
Headshot accuracy9.6%−0.2%
first ⅓ avg 9.9% → last ⅓ avg 9.6%

Rolling 5-match average across the last 55 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.07Best match rating · 13–4 · inferno, 14 Dec →
21%Best headshot accuracy · 10–13 · vertigo, 6 Dec →
380msFastest reaction time · 5–16 · mirage_scrimmagemap, 5 Jun →
16–5Biggest win · inferno, 26 Sept →

Across the last 55 tracked matches.

Highlights

3Longest win streak
2–5In matches decided by ≤2 rounds
17Overtime games

Map breakdown

mirageBest map · 47% over 17infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB178–947%-0.05
infernoD134–931%-0.05
ancientC73–443%-0.04
anubis—44–0100%-0.05
nuke—43–175%-0.05
dust2—42–250%-0.02
vertigo—30–30%-0.02
overpass—20–20%-0.09
mirage_scrimmagemap—10–10%0.00

Across the last 55 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). 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.

9.4%Headshot accuracy
30.7%Accuracy (enemy spotted)
31.1%Spray accuracy
82.1%Counter-strafing
13.1°Preaim
660msReaction time
0.0%T opening success
30.0%CT opening success
0.66Enemies flashed / flash
2.1%Flash assists
10.47HE damage / grenade
8.09Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0806° — above the 12° mark we flag

    Aim Training →
  2. 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 9.4288% — below the 15% mark we flag

    Aim Training →
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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0114%9 Jan →
ancient15–15-0.016%9 Jan →
mirage9–13-0.0719%7 Jan →
vertigo13–16-0.048%7 Jan →
nuke15–15-0.0815%14 Dec →
inferno13–40.0717%14 Dec →
nuke13–3-0.055%14 Dec →
nuke13–8-0.059%13 Dec →
ancient3–13-0.147%13 Dec →
mirage7–13-0.045%9 Dec →
inferno0–13-0.136%9 Dec →
inferno13–11-0.033%9 Dec →
mirage13–8-0.0517%8 Dec →
mirage13–6-0.0219%8 Dec →
inferno15–15-0.045%7 Dec →
inferno13–6-0.047%7 Dec →
vertigo14–16-0.037%6 Dec →
overpass7–13-0.055%6 Dec →
mirage13–4-0.075%6 Dec →
ancient10–30.003%6 Dec →
vertigo10–130.0121%6 Dec →
mirage9–13-0.0414%4 Dec →
inferno15–15-0.0512%1 Dec →
anubis13–5-0.097%29 Nov →
mirage4–13-0.053%29 Nov →
ancient10–13-0.0710%29 Nov →
mirage13–7-0.028%28 Nov →
overpass3–13-0.120%27 Nov →
inferno5–13-0.0517%27 Nov →
mirage9–13-0.082%27 Nov →
anubis13–5-0.090%21 Nov →
mirage13–7-0.1110%21 Nov →
inferno4–13-0.135%21 Nov →
inferno9–13-0.0712%18 Nov →
ancient13–11-0.048%16 Nov →
inferno11–13-0.016%16 Nov →
inferno11–13-0.0911%16 Nov →
ancient9–13-0.0615%15 Nov →
anubis16–12-0.026%15 Nov →
nuke13–9-0.036%13 Nov →
ancient13–90.039%13 Nov →
mirage10–13-0.0321%28 Sept →
mirage13–3-0.069%28 Sept →
mirage13–60.0212%28 Sept →
inferno16–5-0.0617%26 Sept →
inferno14–16-0.066%26 Sept →
mirage16–120.017%22 Sept →
dust210–16-0.047%21 Sept →
dust27–16-0.056%21 Sept →
dust216–9-0.005%21 Sept →
dust216–110.0314%21 Sept →
mirage14–16-0.075%17 Sept →
mirage12–16-0.096%17 Sept →
mirage6–9-0.027%16 Sept →
mirage_scrimmagemap5–160.0019%5 Jun →

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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