soggy bread

soggy bread — CS2 Stats

76561199037547004[U:1:1077281276]Steam profile ↗

893Tracked matches47%Win rate2020Tracked since
859Hours in CS3Hrs last 2 wks
CSDB Rating4.8 DevelopingHybrid Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate45.4%42.1%42.5%above
Shot accuracy13.8%12.1%10.9%above
Kill/death ratio1.150.990.99above
Match win rate42.4%43.9%44.2%1.8% short

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsoggy breadFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning52
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY46531Last 10046%Win rateLWWLLWLWLL

Last 10 vs previous 10: +0pp win rate · +0.05 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression6.9
Utility1.1
Positioning5.2
Opening Duels2.6
Clutch0.0

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 80% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; 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. 628ms 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

Aim6.6
Positioning5.2
Utility1.1
Mechanics6.5
Opening Duels2.6
Win Impact3.9

Composite 4.8/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time625ms−10ms
first ⅓ avg 635ms → last ⅓ avg 625ms
Headshot accuracy21.4%+5.6%
first ⅓ avg 15.8% → last ⅓ avg 21.4%

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.

Highlights

0.45Best rating — inferno 9–2
132Biggest win — nuke
4Longest win streak
816In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 78% over 9ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA27151256%0.00
nukeC1981142%0.01
infernoC145936%0.04
overpassC146843%0.01
dust2D93633%-0.02
trainS97278%0.01
ancientD5050%0.02
anubis21150%0.01
cache110100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,195Lifetime kills
1.15K/D · Top 25% of Level 3 players
1,626Matches
42.4%Match win rate
45.4%Headshot % · Top 50% of Level 3 players
13.8%Shot accuracy · Top 50% of Level 3 players
4,335MVPs
541Hours (in match)
1,602Bombs planted
394Bombs defused

Most-used weapons

Lifetime map wins

1,866nuke
1,649inferno
1,354dust2
594train
444vertigo
247cbble
106lake
44office

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

Faceit stats

Combat

9Matches
33%Win rate
1.14Avg K/D
82.2ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.6715.0
Inferno10%1.1622.0
Dust21100%3.1422.0
Nuke10%0.538.0

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.

21.6%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.8%Spray accuracy
79.0%Counter-strafing
11.2°Preaim
628msReaction time
44.2%T opening success
36.7%CT opening success
0.17Enemies flashed / flash
0.0%Flash assists
5.75HE damage / grenade
0.55Flashes / 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 0.1733 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.6635% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–130.1139%29 Aug
inferno9–50.0025%26 Aug
mirage13–50.0323%25 Aug
inferno11–130.0923%24 Aug
ancient10–130.0512%17 Jul
cache13–100.0421%16 Jul
nuke4–9-0.0812%5 Apr
inferno9–50.2223%5 Apr
inferno7–9-0.0717%5 Apr
mirage5–130.0414%14 Mar
dust213–100.0033%13 Mar
mirage13–11-0.0427%13 Mar
ancient6–130.0220%24 Feb
overpass5–13-0.0816%23 Feb
mirage13–60.0324%22 Feb
nuke13–160.0219%22 Feb
anubis4–130.0616%22 Feb
dust28–13-0.0430%20 Feb
mirage13–10-0.0010%19 Feb
inferno14–16-0.0532%16 Feb
anubis13–8-0.0412%16 Feb
nuke13–100.0112%14 Feb
mirage7–13-0.0228%14 Feb
nuke13–3-0.0238%14 Feb
mirage13–10-0.0016%14 Feb
inferno4–13-0.066%14 Feb
dust213–9-0.0525%14 Feb
mirage9–130.0423%9 Feb
dust213–110.0719%9 Feb
nuke7–130.0039%9 Feb
mirage11–13-0.0217%20 Dec
mirage13–11-0.0123%14 Dec
nuke9–13-0.0114%26 Oct
mirage13–8-0.0117%23 Oct
train13–60.0223%23 Oct
overpass10–130.0326%21 Oct
mirage13–90.0218%20 Oct
nuke16–14-0.0136%20 Oct
mirage11–13-0.0625%11 Oct
train11–13-0.0222%10 Oct
overpass13–70.0526%10 Oct
inferno11–130.0413%10 Oct
overpass13–80.0424%5 Oct
nuke11–130.0115%5 Oct
inferno7–90.0615%5 Oct
train13–11-0.0226%3 Oct
nuke10–130.0622%29 Sept
train13–60.0112%29 Sept
nuke8–130.0233%24 Sept
inferno13–11-0.0225%23 Sept
ancient9–130.019%12 Sept
mirage13–70.0821%12 Sept
ancient6–130.0526%8 Sept
overpass2–5-0.0813%8 Sept
mirage15–150.0213%8 Sept
nuke5–13-0.0218%1 Sept
mirage5–13-0.0312%1 Sept
dust211–13-0.0515%28 Aug
overpass10–130.0020%27 Aug
mirage13–70.0011%26 Aug
overpass5–13-0.0312%26 Aug
mirage13–6-0.0114%23 Aug
nuke4–13-0.0117%23 Aug
overpass11–130.0014%22 Aug
ancient11–13-0.0210%17 Aug
train8–13-0.0315%17 Aug
dust29–130.0420%16 Aug
mirage13–30.0227%16 Aug
nuke13–40.0528%15 Aug
dust27–13-0.0518%15 Aug
dust211–13-0.0129%14 Aug
overpass13–30.0913%14 Aug
train16–140.0411%14 Aug
dust28–13-0.0517%7 Aug
mirage5–13-0.0223%7 Aug
nuke13–20.0020%6 Aug
overpass13–40.0826%6 Aug
overpass11–13-0.0213%31 Jul
train13–9-0.0411%30 Jul
nuke13–6-0.0521%29 Jul
mirage11–130.0017%29 Jul
nuke8–13-0.0219%28 Jul
nuke13–6-0.0221%28 Jul
mirage16–13-0.0212%27 Jul
mirage13–80.0212%27 Jul
overpass13–80.0218%23 Jul
mirage3–13-0.018%19 Jul
overpass13–50.0511%17 Jul
mirage5–130.0113%17 Jul
train13–60.055%17 Jul
overpass13–160.0010%16 Jul
mirage13–110.0011%14 Jul
inferno16–12-0.0011%13 Jul
inferno1–9-0.1110%13 Jul
inferno7–90.0110%13 Jul
inferno9–20.4518%13 Jul
nuke9–40.1929%13 Jul
inferno9–130.0316%13 Jul
mirage8–13-0.0411%13 Jul
train13–50.055%13 Jul

Match data via Leetify.

Recent teammates

Milestones

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