SLOPPY STEAKS

SLOPPY STEAKS — CS2 Stats

76561198074301430[U:1:114035702]Steam profile ↗

3,123Tracked matches43%Win rate2020Tracked since
CSDB Rating4.4 Developing
Premier CS Rating14,454Blue band · top ~31.3% of ranked players (population est.)
CSDB Leaderboard#10916 of 16478 tracked
Ladder ranks via Leetify

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CSDB.GGSLOPPY STEAKSPREMIER14,454 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning46
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY44533Last 10044%Win rateWLWWWLLLLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim5.9
Aggression4.0
Utility3.5
Positioning4.6
Opening Duels1.8
Clutch1.6

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

NiKo

Plays most like NiKo 83% playstyle similarity

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

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

T-side openings. Opening success drops from 49% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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
Positioning4.6
Utility3.5
Mechanics6.3
Opening Duels2.4
Win Impact2.8

Composite 4.4/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time564ms−51ms
first ⅓ avg 615ms → last ⅓ avg 564ms
Headshot accuracy15.2%−3.5%
first ⅓ avg 18.7% → last ⅓ avg 15.2%

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

0.12Best rating — dust2 13–5
132Biggest win — dust2
7Longest win streak
710In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 58% over 12infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C25101540%0.01
mirageB24121250%-0.00
cacheA127558%0.01
infernoD112918%0.02
anubisB105550%-0.01
ancientA95456%-0.01
nukeC73443%-0.01
train1010%0.00
office1010%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

586Matches
49%Win rate
1.10Avg K/D
74.9ADR
41%Headshot %

Clutches & streaks

28%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21650%1.0115.6
Mirage1443%0.9314.1
Inferno1060%1.0616.8
Nuke944%0.9913.8
Ancient743%1.0117.6
Vertigo540%1.1015.8
Overpass560%0.8112.2
Anubis333%1.6220.3

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.

15.5%Headshot accuracy
32.3%Accuracy (enemy spotted)
32.7%Spray accuracy
78.3%Counter-strafing
10.3°Preaim
563msReaction time
25.7%T opening success
48.9%CT opening success
0.45Enemies flashed / flash
7.4%Flash assists
9.13HE damage / grenade
2.75Flashes / 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 0.4476 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 25.7467% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–90.0822%28 Aug
inferno14–160.0619%28 Aug
ancient13–100.0119%27 Aug
dust213–90.0011%27 Aug
inferno13–110.0511%27 Aug
dust210–13-0.066%26 Aug
anubis7–13-0.0119%25 Aug
nuke11–13-0.0513%24 Aug
ancient13–16-0.067%24 Aug
dust27–130.0020%23 Aug
cache13–60.0213%23 Aug
anubis1–13-0.0612%20 Aug
dust24–130.0113%20 Aug
train10–130.0011%20 Aug
cache10–13-0.0220%20 Aug
mirage5–13-0.0228%20 Aug
dust213–20.0512%20 Aug
mirage7–13-0.0320%20 Aug
cache9–13-0.0318%20 Aug
nuke5–13-0.0218%20 Aug
mirage13–70.068%20 Aug
ancient11–13-0.066%19 Aug
dust212–16-0.0625%19 Aug
mirage13–8-0.0014%18 Aug
ancient13–110.0614%18 Aug
nuke13–50.0115%18 Aug
cache13–4-0.0213%18 Aug
anubis13–11-0.0219%17 Aug
dust26–13-0.0122%14 Aug
nuke13–10-0.0217%14 Aug
ancient6–13-0.097%13 Aug
mirage8–13-0.0213%13 Aug
inferno11–13-0.0314%13 Aug
mirage11–130.0211%13 Aug
inferno12–16-0.0214%12 Aug
mirage4–130.024%12 Aug
mirage4–13-0.069%12 Aug
mirage9–13-0.0912%12 Aug
dust215–15-0.0018%12 Aug
cache13–9-0.0118%12 Aug
dust215–15-0.079%12 Aug
mirage10–3-0.009%12 Aug
dust211–130.0422%12 Aug
mirage13–80.0023%12 Aug
cache13–100.0127%11 Aug
mirage14–160.0510%11 Aug
inferno3–130.0817%11 Aug
dust23–130.0726%11 Aug
inferno4–130.0010%10 Aug
dust27–13-0.0236%8 Aug
anubis13–8-0.0311%8 Aug
anubis4–13-0.0739%8 Aug
cache8–130.0622%8 Aug
dust213–50.0140%8 Aug
anubis5–13-0.0519%7 Aug
dust26–130.0211%7 Aug
mirage13–70.0922%7 Aug
mirage13–6-0.0218%7 Aug
nuke9–13-0.0327%6 Aug
dust25–13-0.0117%6 Aug
anubis16–120.0724%6 Aug
cache13–90.0821%6 Aug
anubis16–140.0218%6 Aug
inferno10–130.0014%30 Jul
mirage14–160.0919%30 Jul
dust25–130.0211%30 Jul
mirage5–2-0.0367%30 Jul
cache13–30.0418%30 Jul
dust27–13-0.0213%30 Jul
mirage13–90.0322%30 Jul
dust213–30.1125%30 Jul
inferno13–80.0516%30 Jul
ancient13–110.0815%30 Jul
anubis13–7-0.0214%30 Jul
mirage13–110.0118%30 Jul
dust213–5-0.0121%30 Jul
anubis9–130.0114%30 Jul
inferno11–130.0118%30 Jul
dust213–30.0419%30 Jul
dust213–50.0113%30 Jul
office8–130.0323%30 Jul
inferno11–130.0217%30 Jul
dust213–50.1224%30 Jul
mirage15–150.0116%29 Jul
mirage13–10-0.0314%29 Jul
cache13–10-0.0118%29 Jul
ancient13–5-0.0614%29 Jul
mirage13–6-0.0118%29 Jul
dust213–9-0.0216%29 Jul
nuke16–14-0.0116%29 Jul
dust26–13-0.0611%28 Jul
mirage8–13-0.0425%28 Jul
cache12–160.0013%28 Jul
inferno4–130.0131%27 Jul
nuke5–130.0222%27 Jul
cache2–13-0.0322%27 Jul
mirage10–13-0.0329%27 Jul
dust213–30.0729%27 Jul
mirage13–7-0.0611%27 Jul
ancient8–13-0.0419%27 Jul

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 →