Bread Pitt

Bread Pitt — CS2 Stats

US76561198278277823[U:1:318012095]Steam profile ↗✓ No bans

1,129Tracked matches52%Win rate2024Tracked since
1,011Hours in CS25Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating17,653Purple band · top ~17.8% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (yesterday). 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: 17,653 -531 31 Aug – 15 Oct · 18 days played
17,65319,049peak 19,04931 Aug15 Oct
19,049Peak Premier in tracked matches
33Days played since 2026-08-31

Premier CS Rating

  • 1,396 below peak (19,049)
  • -276 over 30 days · steady
  • Next: Pink band at 20,000 — 2,347 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches82——
Win rate44%——
K/D1.23——
Headshot %48%——

Measured 16 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate44.9%44.3%46.9%2.0% short
Shot accuracy0.5%11.9%13.0%12.5% short
Kill/death ratio1.281.031.08above
Match win rate51.4%45.2%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBread PittPREMIER17,653 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning53
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateLWLTLLWLWW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −3.7pp headshot accuracy · −13ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 556ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 555ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 561ms

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 (+2.4 against its own average).

Aim7.5
Utility3.7
Positioning5.3
Opening Duels2.5
Clutch0.0

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

ropz

Plays most like ropz 95% 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.

Reaction time. 579ms 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

Aim7.5
Positioning5.3
Utility3.7
Mechanics6.4
Opening Duels4.4
Win Impact5.6

Composite 5.8/10 (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 rating0.03+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time568ms−7ms
first ⅓ avg 574ms → last ⅓ avg 568ms
Headshot accuracy20.4%+3.1%
first ⅓ avg 17.4% → last ⅓ avg 20.4%

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

0.19Best match rating · 13–11 · anubis, 16 Sept →
80%Best headshot accuracy · 5–8 · rush_001, 23 Sept →
438msFastest reaction time · 6–13 · nuke, 12 Sept →
13–0Biggest win · ancient, 13 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 67% over 9infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C3111–2035%0.01
mirageA138–562%-0.00
nukeB126–650%0.02
ancientB105–550%0.02
anubisS96–367%0.08
infernoD71–614%0.03
cacheD51–420%0.06
train—31–233%0.01
vertigo—32–167%0.11
office—32–167%0.02
overpass—32–167%0.03
rush_001—10–10%-0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,916Lifetime kills
1.28K/D · Top 25% of Purple band
1,391Matches
51.4%Match win rate · Top 10% of Purple band
44.9%Headshot % · Top 50% of Purple band
0.5%Shot accuracy
3,582MVPs
486Hours (in match)
1,663Bombs planted
311Bombs defused

Most-used weapons

Lifetime map wins

4,479dust2
2,115inferno
1,463nuke
449vertigo
337train
133office
56italy
1lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3Matches
0%Win rate
0.89Avg K/D
82.4ADR
51%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%1.1919.0
Dust210%0.6213.0
Nuke10%0.8517.0

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.

20.3%Headshot accuracy
34.8%Accuracy (enemy spotted)
40.1%Spray accuracy
79.0%Counter-strafing
9.6°Preaim
579msReaction time
50.5%T opening success
44.8%CT opening success
0.41Enemies flashed / flash
4.8%Flash assists
7.00HE damage / grenade
9.38Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4113 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
train5–13-0.0526%16 Oct →
nuke13–100.0620%16 Oct →
ancient6–13-0.0425%15 Oct →
dust212–120.0027%15 Oct →
dust213–16-0.0217%15 Oct →
anubis11–130.0614%15 Oct →
dust213–60.0017%14 Oct →
cache3–130.0812%14 Oct →
dust213–40.0822%13 Oct →
nuke13–10-0.0513%13 Oct →
ancient13–00.0714%13 Oct →
dust28–130.0520%12 Oct →
dust210–13-0.0131%11 Oct →
dust213–100.0322%11 Oct →
dust213–80.0723%11 Oct →
nuke12–120.1334%9 Oct →
vertigo13–20.1425%9 Oct →
anubis7–130.0730%9 Oct →
inferno5–130.0524%9 Oct →
ancient13–110.017%8 Oct →
dust212–12-0.0415%8 Oct →
office13–50.0134%8 Oct →
dust25–13-0.1013%7 Oct →
anubis13–30.0712%7 Oct →
train10–13-0.0421%7 Oct →
nuke13–8-0.0116%6 Oct →
cache1–130.0119%6 Oct →
mirage13–110.0116%6 Oct →
dust213–8-0.0319%6 Oct →
cache5–130.0922%5 Oct →
mirage6–13-0.0315%5 Oct →
anubis13–100.1424%4 Oct →
inferno11–130.1127%4 Oct →
ancient9–130.0113%2 Oct →
mirage13–80.0031%2 Oct →
ancient13–10-0.0310%1 Oct →
nuke12–12-0.0418%1 Oct →
dust213–80.029%1 Oct →
ancient13–100.1616%29 Sept →
ancient10–13-0.0211%28 Sept →
mirage13–30.0912%28 Sept →
inferno6–9-0.026%28 Sept →
overpass13–100.0219%26 Sept →
office10–130.0420%26 Sept →
anubis13–80.0814%26 Sept →
ancient11–130.0316%25 Sept →
dust213–80.0518%25 Sept →
cache12–120.0819%25 Sept →
mirage13–6-0.087%25 Sept →
nuke8–130.0721%25 Sept →
dust28–13-0.0119%24 Sept →
dust213–40.1417%24 Sept →
rush_0015–8-0.1280%23 Sept →
overpass7–130.0222%23 Sept →
dust211–130.0121%23 Sept →
inferno8–130.0825%21 Sept →
ancient5–13-0.0014%21 Sept →
vertigo9–130.0320%20 Sept →
dust29–130.0628%20 Sept →
dust21–13-0.0226%19 Sept →
inferno10–13-0.0525%19 Sept →
inferno7–130.0033%19 Sept →
cache13–70.0310%19 Sept →
dust27–13-0.0219%18 Sept →
dust211–130.0111%18 Sept →
anubis13–90.0513%17 Sept →
ancient13–80.0529%17 Sept →
dust213–9-0.0213%17 Sept →
mirage13–70.0614%17 Sept →
dust25–130.0114%17 Sept →
mirage5–13-0.0219%17 Sept →
dust213–1-0.0411%17 Sept →
mirage2–13-0.0520%16 Sept →
anubis13–110.1921%16 Sept →
mirage9–130.0615%15 Sept →
overpass13–90.0315%14 Sept →
dust213–110.1125%14 Sept →
dust27–13-0.0714%13 Sept →
mirage13–10-0.0517%13 Sept →
nuke10–13-0.0212%13 Sept →
dust25–130.0523%12 Sept →
nuke9–50.0519%12 Sept →
nuke13–70.0316%12 Sept →
dust28–130.0114%12 Sept →
anubis12–12-0.0112%12 Sept →
dust212–12-0.0017%12 Sept →
nuke6–130.0321%12 Sept →
mirage13–6-0.0112%12 Sept →
vertigo8–00.1722%12 Sept →
dust25–130.019%10 Sept →
mirage6–13-0.0311%10 Sept →
nuke3–9-0.1919%10 Sept →
anubis13–30.0521%9 Sept →
inferno13–50.0527%9 Sept →
nuke13–60.1427%9 Sept →
train13–30.1322%9 Sept →
office13–3-0.0020%9 Sept →
mirage13–10.0220%9 Sept →
dust25–130.1020%6 Sept →
dust28–13-0.0214%6 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.