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Couch Tomato

Couch Tomato — CS2 Stats

76561198824433188[U:1:864167460]Steam profile ↗

448Tracked matches72%Win rate2022Tracked since
507Hours in CS3Hrs last 2 wks
CSDB Rating6.0 SolidHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim69
Positioning44
Utility51

0–100 skill scores via Leetify.

Recent form

HOT59–37–4Last 10059%Win rateWLWLLWWWWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9
Aggression6.3
Utility5.1
Positioning4.4
Opening Duels2.4
Clutch1.8

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 88% 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 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim6.9
Positioning4.4
Utility5.1
Mechanics7.0
Opening Duels2.4
Win Impact10.0

Composite 6.0/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time615ms+36ms
first ⅓ avg 579ms → last ⅓ avg 615ms
Headshot accuracy23.3%+3.6%
first ⅓ avg 19.7% → last ⅓ avg 23.3%

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

0.19Best rating — mirage 13–1
13–1Biggest win — mirage
5Longest win streak
3–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 88% over 8anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA1710–759%0.02
dust2C146–843%-0.02
ancientS129–375%0.00
infernoB126–650%-0.02
overpassS118–373%0.02
nukeB84–450%-0.00
cacheS87–188%0.01
vertigoA53–260%0.01
anubisC52–340%-0.02
italy—21–150%0.03
office—20–20%-0.00
train—22–0100%-0.01
warden—10–10%0.09
alpine—11–0100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,065Lifetime kills
0.94K/D
698Matches
47.7%Match win rate · Top 50% of tracked players
58.4%Headshot % · Top 25% of tracked players
4.2%Shot accuracy
1,427MVPs
316Hours (in match)
640Bombs planted
212Bombs defused

Most-used weapons

AK-475,804
M4A4 / M4A1-S2,204
Desert Eagle973
AWP959
P2000 / USP-S788
Glock-18451
Galil AR266
SSG 08249
MAG-7166
MP9155

Lifetime map wins

1,296dust2
942inferno
475nuke
305vertigo
269train
31office
25italy
10lake

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

Faceit stats

Combat

35Matches
74%Win rate
1.09Avg K/D
80.3ADR
53%Headshot %

Clutches & streaks

29%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21164%0.9813.4
Ancient888%1.4819.3
Mirage875%1.0417.9
Nuke3100%1.0315.7
Inferno367%0.7912.3
Anubis10%0.477.0
Train1100%1.1714.0

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.

23.1%Headshot accuracy
32.6%Accuracy (enemy spotted)
35.6%Spray accuracy
81.4%Counter-strafing
10.7°Preaim
598msReaction time
31.2%T opening success
47.9%CT opening success
0.36Enemies flashed / flash
5.0%Flash assists
8.64HE damage / grenade
8.25Flashes / 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 0.3636 — 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 31.2392% — below the 40% mark we flag

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.0022%27 Aug →
mirage8–13-0.0218%25 Aug →
cache13–80.0321%25 Aug →
dust22–13-0.0525%6 Aug →
ancient10–13-0.0819%4 Aug →
dust213–9-0.0519%30 Jul →
ancient13–50.0316%30 Jul →
dust213–5-0.0224%28 Jul →
inferno13–60.0231%23 Jul →
mirage13–110.0022%21 Jul →
inferno11–13-0.0624%28 May →
ancient10–20.0110%28 May →
nuke13–90.0311%12 May →
inferno13–2-0.0448%11 May →
ancient13–2-0.0023%11 May →
mirage13–10.1930%11 May →
italy12–12-0.0415%6 May →
ancient2–13-0.0920%6 May →
dust213–80.0636%5 May →
cache13–3-0.0224%5 May →
vertigo13–5-0.0230%5 May →
office8–130.0618%5 May →
ancient13–80.0019%5 May →
cache13–8-0.0218%4 May →
anubis11–130.0125%4 May →
ancient13–10-0.0223%2 May →
nuke11–13-0.0118%30 Apr →
overpass5–00.1543%30 Apr →
cache13–8-0.0638%29 Apr →
cache13–40.0927%29 Apr →
cache10–13-0.0133%28 Apr →
cache13–50.0310%28 Apr →
cache13–80.039%28 Apr →
anubis12–120.0017%28 Apr →
nuke13–40.0718%28 Apr →
vertigo9–13-0.0426%28 Apr →
nuke13–11-0.0814%27 Apr →
warden10–130.0911%27 Apr →
office6–13-0.0725%27 Apr →
inferno13–60.0622%26 Apr →
train13–80.0013%26 Apr →
italy13–40.1017%26 Apr →
vertigo10–130.0129%26 Apr →
mirage13–80.0717%26 Apr →
alpine13–30.0223%26 Apr →
vertigo13–60.0615%26 Apr →
overpass13–11-0.0416%24 Apr →
dust29–13-0.0614%24 Apr →
mirage13–80.0228%24 Apr →
overpass5–13-0.0612%24 Apr →
ancient13–50.0014%24 Apr →
overpass1–13-0.0115%24 Apr →
dust25–13-0.0728%23 Apr →
mirage7–13-0.0327%23 Apr →
mirage13–90.0826%23 Apr →
ancient13–40.0522%22 Apr →
train13–9-0.0223%22 Apr →
mirage2–13-0.0623%22 Apr →
dust213–10-0.0517%21 Apr →
dust213–10-0.0427%17 Apr →
mirage10–40.1223%16 Apr →
overpass13–40.0431%16 Apr →
nuke3–130.0317%16 Apr →
mirage10–3-0.0132%16 Apr →
inferno14–16-0.0416%15 Apr →
inferno5–130.0322%15 Apr →
dust26–13-0.0418%14 Apr →
nuke11–130.0221%14 Apr →
overpass13–60.0631%13 Apr →
inferno10–13-0.0612%13 Apr →
dust213–160.0128%13 Apr →
mirage7–13-0.0227%12 Apr →
anubis13–60.0226%12 Apr →
ancient11–130.0721%12 Apr →
dust28–13-0.0431%11 Apr →
nuke3–13-0.0814%11 Apr →
mirage15–15-0.0316%9 Apr →
ancient13–70.0317%9 Apr →
overpass13–90.0317%9 Apr →
anubis5–13-0.0820%9 Apr →
inferno10–13-0.0119%8 Apr →
ancient13–90.0215%8 Apr →
vertigo13–30.0115%8 Apr →
overpass7–13-0.0314%8 Apr →
overpass13–100.0217%8 Apr →
overpass13–100.0215%7 Apr →
mirage11–13-0.0111%7 Apr →
dust28–20.0133%7 Apr →
inferno10–13-0.0517%6 Apr →
mirage13–6-0.0028%3 Apr →
inferno13–50.0216%3 Apr →
dust22–130.0115%3 Apr →
mirage15–15-0.0121%3 Apr →
overpass13–90.0820%3 Apr →
dust23–13-0.0126%2 Apr →
inferno13–8-0.0516%2 Apr →
inferno13–9-0.0119%2 Apr →
mirage13–9-0.0321%1 Apr →
anubis13–6-0.0310%1 Apr →
mirage13–40.0119%31 Mar →

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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