PeetaBread23 — CS2 Stats

76561198257878132[U:1:297612404]

1,258Tracked matches45%Win rate2022Tracked since
1,168Hours in CS
CSDB Rating5.7 SolidAggressive Rifler
FaceitLevel 8 · 1,859 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate59.2%47.2%49.0%above
Shot accuracy10.2%12.3%13.1%2.9% short
Kill/death ratio1.971.071.08above
Match win rate44.0%46.3%46.9%2.9% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPeetaBread23FACEITLevel 8 · 1,859 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning66
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY57403Last 10057%Win rateWLLLWLWWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.1
Aggression7.5
Utility2.9
Positioning6.6
Opening Duels3.4
Clutch2.6

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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. 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

Aim8.1
Positioning6.6
Utility2.9
Mechanics7.4
Opening Duels3.4
Win Impact3.3

Composite 5.7/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time595ms+17ms
first ⅓ avg 578ms → last ⅓ avg 595ms
Headshot accuracy27.7%+2.3%
first ⅓ avg 25.4% → last ⅓ avg 27.7%

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.

Highlights

0.18Best rating — mirage 13–4
131Biggest win — inferno
9Longest win streak
1311In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 65% over 20anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeS2013765%0.02
ancientA1610663%0.01
dust2B168850%0.02
infernoA149564%0.01
mirageB137654%0.02
anubisC83538%0.00
overpassA53260%-0.05
train43175%0.03
cache31233%0.02
vertigo1010%0.17

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

134,747Lifetime kills
1.97K/D · Top 5% of Level 8 players
3,575Matches
44.0%Match win rate
59.2%Headshot % · Top 25% of Level 8 players
10.2%Shot accuracy
9,734MVPs
1,168Hours (in match)
2,713Bombs planted
785Bombs defused

Most-used weapons

AK-4766,261
AWP17,123
SSG 082,187
Knife2,066
P2501,981
SCAR-201,402

Lifetime map wins

8,949dust2
2,451inferno
2,254nuke
1,061train
978lake
460safehouse
431vertigo
305bank

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

Faceit stats

Combat

244Matches
51%Win rate
1.25Avg K/D
85.2ADR
50%Headshot %

Clutches & streaks

33%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient6149%1.3617.9
Dust24738%1.1116.7
Nuke3647%1.2819.3
Inferno3566%1.3219.6
Mirage2948%1.0715.1
Train1681%1.3717.1
Overpass1362%1.2016.1
Anubis520%1.0816.0

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.

26.8%Headshot accuracy
33.8%Accuracy (enemy spotted)
32.8%Spray accuracy
83.3%Counter-strafing
8.6°Preaim
587msReaction time
43.0%T opening success
44.5%CT opening success
0.49Enemies flashed / flash
3.2%Flash assists
6.77HE damage / grenade
4.27Flashes / 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 0.4885 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–110.0115%17 Jul
inferno11–13-0.0220%16 Jul
nuke17–190.0010%6 Jun
ancient11–130.0132%6 Jun
inferno19–170.0143%6 Jun
inferno5–13-0.0531%5 Jun
nuke13–6-0.0228%5 Jun
dust213–10-0.0132%1 Jun
nuke2–130.0530%1 Jun
vertigo11–130.1723%1 Jun
mirage2–13-0.0811%29 May
anubis4–13-0.0235%25 May
overpass3–13-0.1417%4 May
cache13–110.0930%3 May
cache10–13-0.0322%3 May
cache11–130.0128%2 May
inferno15–150.0624%26 Apr
anubis6–130.0331%26 Apr
ancient13–4-0.0327%25 Apr
nuke9–13-0.0329%23 Apr
anubis13–110.0132%23 Apr
mirage13–110.1222%10 Apr
anubis9–13-0.0325%7 Apr
nuke13–2-0.0511%7 Apr
dust27–13-0.0731%7 Apr
ancient8–20.0875%7 Apr
nuke13–50.0031%7 Apr
overpass13–80.0326%7 Apr
ancient13–40.0822%7 Apr
dust26–130.0234%7 Apr
nuke8–130.0227%6 Apr
mirage10–13-0.0422%6 Apr
inferno13–1-0.0140%6 Apr
anubis9–13-0.0625%5 Apr
ancient13–4-0.0317%5 Apr
ancient9–13-0.0836%21 Mar
nuke13–110.0636%3 Mar
dust213–30.1030%3 Mar
mirage12–120.0324%3 Mar
anubis13–110.0431%3 Mar
ancient2–70.0625%28 Feb
nuke13–70.0722%28 Feb
mirage1–13-0.0344%28 Feb
ancient13–4-0.0613%23 Feb
ancient13–11-0.0017%11 Feb
nuke13–7-0.0218%11 Feb
anubis11–13-0.107%30 Jan
inferno13–100.0419%30 Jan
overpass1–13-0.0615%24 Jan
ancient11–130.0621%23 Jan
ancient19–170.0621%23 Jan
ancient13–6-0.0419%23 Jan
dust27–13-0.0216%23 Jan
anubis13–50.1822%23 Jan
nuke13–5-0.0117%23 Jan
nuke13–70.1123%22 Jan
dust213–110.0325%22 Jan
dust216–120.0517%22 Jan
nuke6–13-0.0325%20 Jan
dust28–130.0213%20 Jan
mirage4–13-0.0650%20 Jan
mirage13–80.0329%20 Jan
dust213–80.0316%20 Jan
dust213–80.0727%20 Jan
nuke13–110.0931%20 Jan
nuke13–8-0.029%16 Jan
inferno16–13-0.0419%16 Jan
inferno9–13-0.0233%15 Jan
nuke13–90.0629%15 Jan
mirage13–80.0324%15 Jan
inferno13–100.0318%15 Jan
ancient5–13-0.0350%14 Jan
ancient6–13-0.036%11 Jan
dust27–13-0.0319%11 Jan
dust27–13-0.0030%11 Jan
dust211–130.0327%11 Jan
nuke17–19-0.0017%11 Jan
inferno13–90.0520%11 Jan
dust211–130.0032%11 Jan
dust213–50.0533%11 Jan
nuke6–13-0.0231%11 Jan
inferno13–20.0911%11 Jan
nuke13–70.0524%11 Jan
train13–11-0.0215%10 Jan
dust213–100.0225%10 Jan
ancient13–20.0322%10 Jan
inferno13–100.0122%10 Jan
mirage13–8-0.0521%10 Jan
train16–140.0637%10 Jan
mirage13–10-0.0220%9 Jan
train5–13-0.089%9 Jan
mirage13–40.1832%9 Jan
overpass13–6-0.0525%9 Jan
overpass13–10-0.0331%7 Jan
inferno11–130.0335%7 Jan
ancient11–20.1025%7 Jan
train13–90.1633%2 Jan
mirage13–50.0935%2 Jan
nuke13–20.0726%2 Jan
mirage12–120.0823%2 Jan

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 →