Psycho-Tomate

Psycho-Tomate — CS2 Stats

AT76561198006384167[U:1:46118439]Steam profile ↗✓ No bans

1,150Tracked matches66%Win rate2020Tracked since
2,004Hours in CS17Hrs last 2 wks
CSDB Rating5.6 SolidSupport
Premier CS Rating18,848Top 50% of 205,052 CSDB-tracked playersPurple band · top ~13.1% of ranked players (population est.)
CSDB Leaderboard#97776 of 252216 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (4 days ago). 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: 18,848 +4,817 11 Apr – 12 Oct · 29 days played
13,02919,168peak 19,16811 Apr12 Oct
Faceit ELO: 1,135 +0 6 Sept – 17 Sept · 2 observations
1,1351,135peak 1,1356 Sept17 Sept
19,168Peak Premier in tracked matches
1,135Highest Faceit ELO seen on CSDB
38Days played since 2026-04-06

Faceit ELO

  • At peak — 1,135
  • Next: Level 6 at 1,201 — 66 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-06
  • Level 4 first seen 2026-09-06

Premier CS Rating

  • 320 below peak (19,168)
  • +3,142 over 30 days · improving
  • Next: Pink band at 20,000 — 1,152 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches45——
Win rate60%——
K/D0.83——
Headshot %42%——

Measured 17 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 rate40.6%44.3%46.9%6.3% short
Shot accuracy15.6%11.9%13.0%above
Kill/death ratio0.791.031.080.29 short
Match win rate46.2%45.2%46.7%meets

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

Widest gap: Kill/death ratio. 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.GGPsycho-TomatePREMIER18,848 · Purple bandPEAK ELO1,135csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58
Positioning45
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateLWLWLWWLWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +4.4pp headshot accuracy · +69ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 678ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 668ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 634ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim5.8
Utility6.0
Positioning4.5
Opening Duels0.0
Clutch5.2

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Reaction time. 611ms 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

Aim5.8
Positioning4.5
Utility6.0
Mechanics5.7
Opening Duels1.7
Win Impact10.0

Composite 5.6/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time613ms−32ms
first ⅓ avg 645ms → last ⅓ avg 613ms
Headshot accuracy14.9%−1.8%
first ⅓ avg 16.7% → last ⅓ avg 14.9%

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

0.13Best match rating · 13–4 · cache, 9 Oct →
41%Best headshot accuracy · 13–9 · ancient, 5 Aug →
375msFastest reaction time · 10–13 · anubis, 29 Aug →
13–0Biggest win · inferno, 17 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 73% over 11nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheB2010–1050%-0.01
infernoB178–947%-0.01
ancientS1410–471%-0.02
anubisC135–838%-0.00
mirageS118–373%-0.01
dust2A116–555%-0.04
nukeD93–633%-0.04
overpass—32–167%-0.04
vertigo—22–0100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,413Lifetime kills
0.79K/D
2,679Matches
46.2%Match win rate · Top 50% of Purple band
40.6%Headshot %
15.6%Shot accuracy · Top 25% of Purple band
4,886MVPs
1,220Hours (in match)
3,703Bombs planted
543Bombs defused

Most-used weapons

Lifetime map wins

5,919inferno
2,670dust2
1,631nuke
1,624train
1,403vertigo
636cbble
112office
105italy

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

Faceit stats

Combat

423Matches
51%Win rate
0.85Avg K/D
65.0ADR
40%Headshot %

Clutches & streaks

46%1v1 clutch win
13%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2268%0.8513.9
Anubis1741%0.9314.6
Ancient1354%0.8711.2
Vertigo1136%0.6912.6
Nuke862%0.9914.5
Mirage3100%1.2719.7
Dust220%0.386.0
Cache10%0.6111.0

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.

15.2%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.7%Spray accuracy
75.8%Counter-strafing
11.1°Preaim
611msReaction time
43.4%T opening success
28.5%CT opening success
0.56Enemies flashed / flash
6.2%Flash assists
8.80HE damage / grenade
12.23Flashes / 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. Advanced Mechanics

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

    CT opening duels 28.5423% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0015%12 Oct →
inferno13–40.0618%12 Oct →
dust26–13-0.0811%12 Oct →
cache13–70.0512%11 Oct →
dust21–13-0.1020%11 Oct →
cache13–80.0013%11 Oct →
dust213–90.0017%9 Oct →
nuke12–16-0.0526%9 Oct →
mirage13–20.0423%9 Oct →
dust213–8-0.0419%9 Oct →
ancient13–60.038%9 Oct →
ancient13–9-0.018%9 Oct →
cache13–40.1314%9 Oct →
anubis11–130.0414%9 Oct →
inferno13–70.0110%9 Oct →
inferno14–16-0.0215%9 Oct →
cache13–11-0.0710%8 Oct →
cache13–100.0021%8 Oct →
mirage16–13-0.0322%5 Oct →
mirage13–11-0.008%5 Oct →
mirage13–80.009%4 Oct →
cache6–130.0327%2 Oct →
inferno9–13-0.0613%30 Sept →
ancient13–7-0.017%28 Sept →
cache11–13-0.0413%28 Sept →
cache9–130.059%28 Sept →
mirage16–12-0.0517%27 Sept →
ancient13–9-0.0617%27 Sept →
ancient13–8-0.067%21 Sept →
inferno15–15-0.0726%20 Sept →
anubis10–13-0.069%20 Sept →
nuke13–6-0.0127%13 Sept →
inferno13–60.024%13 Sept →
anubis12–16-0.0214%13 Sept →
cache4–13-0.0815%12 Sept →
cache1–13-0.0818%12 Sept →
dust213–4-0.068%11 Sept →
mirage6–13-0.073%7 Sept →
mirage13–30.029%7 Sept →
ancient13–8-0.0612%29 Aug →
cache10–13-0.0212%29 Aug →
nuke13–7-0.0115%29 Aug →
inferno13–80.0811%29 Aug →
anubis10–13-0.058%29 Aug →
anubis13–11-0.046%29 Aug →
ancient13–10.0316%29 Aug →
inferno13–9-0.0010%23 Aug →
ancient13–11-0.0215%23 Aug →
dust211–130.018%23 Aug →
anubis8–130.0012%23 Aug →
inferno11–13-0.0121%19 Aug →
cache13–3-0.0312%19 Aug →
anubis7–130.0615%19 Aug →
nuke9–130.0210%19 Aug →
anubis13–100.0217%12 Aug →
inferno13–80.0319%10 Aug →
dust27–13-0.0726%10 Aug →
dust213–10-0.0115%9 Aug →
ancient7–13-0.0520%9 Aug →
anubis5–10-0.0510%9 Aug →
ancient13–9-0.0141%5 Aug →
inferno2–13-0.088%5 Aug →
cache16–14-0.0316%5 Aug →
nuke9–13-0.1014%20 Jul →
cache7–13-0.0110%20 Jul →
cache13–80.0418%18 Jul →
dust213–5-0.0220%17 Jul →
inferno13–0-0.0327%17 Jul →
anubis13–7-0.0015%17 Jul →
ancient16–140.0513%17 Jul →
cache4–13-0.0316%17 Jul →
mirage10–13-0.0613%17 Jul →
dust213–7-0.0016%26 Jun →
anubis13–10.0611%26 Jun →
ancient14–16-0.0811%14 Jun →
inferno6–13-0.0115%14 Jun →
inferno7–13-0.039%12 Jun →
dust213–16-0.0820%12 Jun →
inferno15–15-0.0318%12 Jun →
nuke14–16-0.0116%25 May →
ancient11–13-0.0116%24 May →
nuke11–13-0.0420%24 May →
overpass13–7-0.0115%24 May →
anubis13–90.0219%24 May →
cache13–7-0.0329%24 May →
anubis11–13-0.0211%18 May →
cache12–12-0.0816%4 May →
cache13–4-0.054%4 May →
cache11–13-0.0124%4 May →
ancient10–13-0.0314%19 Apr →
overpass1–13-0.0635%19 Apr →
nuke13–9-0.1026%17 Apr →
overpass13–8-0.0414%17 Apr →
inferno13–10-0.0617%17 Apr →
mirage13–50.0410%12 Apr →
vertigo13–9-0.0118%12 Apr →
inferno11–130.0416%12 Apr →
vertigo13–100.0331%12 Apr →
nuke15–15-0.084%11 Apr →
mirage13–90.0314%6 Apr →

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.