tomate

tomate — CS2 Stats

CA76561198160550112[U:1:200284384]Steam profile ↗✓ No bans

2,517Tracked matches48%Win rate2021Tracked since
CSDB Rating6.9 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

+82Tracked matches · now 2,517
−21.7ppWin rate · 70.0% → 48.3%

Rating over time

34Days played since 2026-08-26

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGtomateFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim93
Positioning58
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateWLLWWWLLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · −73ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 386ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 421ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 458ms

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 (+2.4 against its own average).

Aim9.3
Utility7.2
Positioning5.8
Opening Duels2.0
Clutch4.4

Sharp aimerStrong 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.

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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

Aim9.3
Positioning5.8
Utility7.2
Mechanics7.9
Opening Duels2.9
Win Impact4.4

Composite 6.9/10 (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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time453ms−11ms
first ⅓ avg 464ms → last ⅓ avg 453ms
Headshot accuracy20.0%+1.1%
first ⅓ avg 18.9% → last ⅓ avg 20.0%

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

0.16Best match rating · 13–2 · ancient, 11 Oct →
36%Best headshot accuracy · 13–8 · dust2, 22 Oct →
313msFastest reaction time · 13–2 · nuke, 30 Oct →
13–0Biggest win · cache, 17 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 82% over 33infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
ancientS3327–682%0.02
dust2A2112–957%0.02
infernoD134–931%0.00
cacheC125–742%-0.00
nukeS107–370%0.01
anubisB105–550%0.03
mirage—10–10%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,032Matches
70%Win rate
1.47Avg K/D
92.2ADR
53%Headshot %

Clutches & streaks

42%1v1 clutch win
28%1v2 clutch win
25Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage83972%1.5018.5
Dust221267%1.4217.4
Ancient19271%1.5718.1
Anubis19167%1.4317.8
Nuke10370%1.3916.5
Vertigo4171%1.5817.2
Overpass2669%1.5215.1
Train2080%1.5617.5

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.

19.2%Headshot accuracy
41.7%Accuracy (enemy spotted)
39.8%Spray accuracy
85.7%Counter-strafing
8.6°Preaim
448msReaction time
35.0%T opening success
47.8%CT opening success
0.67Enemies flashed / flash
11.7%Flash assists
8.07HE damage / grenade
14.16Flashes / 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

    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 34.9975% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–80.0327%31 Oct →
inferno14–16-0.0115%31 Oct →
dust26–130.0419%31 Oct →
ancient13–60.0617%30 Oct →
nuke13–20.0536%30 Oct →
ancient13–11-0.0213%29 Oct →
dust217–190.0523%29 Oct →
inferno11–13-0.0128%29 Oct →
dust218–220.0316%24 Oct →
cache8–13-0.0420%24 Oct →
ancient9–13-0.0111%23 Oct →
inferno11–13-0.0219%23 Oct →
dust213–80.0236%22 Oct →
anubis13–90.0316%22 Oct →
inferno9–130.0318%22 Oct →
dust213–100.0624%21 Oct →
inferno6–13-0.0524%21 Oct →
ancient13–60.0118%21 Oct →
cache9–130.0130%21 Oct →
inferno16–140.0313%21 Oct →
anubis8–130.058%21 Oct →
dust210–13-0.0018%15 Oct →
inferno5–130.0222%15 Oct →
ancient13–30.0214%15 Oct →
ancient16–14-0.0316%13 Oct →
dust213–60.0321%13 Oct →
nuke13–80.0410%12 Oct →
cache2–2-0.0214%12 Oct →
ancient9–13-0.0118%12 Oct →
cache11–40.0415%12 Oct →
anubis13–40.0426%11 Oct →
ancient13–20.1632%11 Oct →
nuke13–80.0423%10 Oct →
ancient13–6-0.0419%10 Oct →
dust28–13-0.0618%10 Oct →
nuke13–11-0.0218%9 Oct →
ancient13–100.0211%9 Oct →
ancient25–28-0.0120%7 Oct →
inferno11–13-0.0014%7 Oct →
anubis13–40.0510%4 Oct →
nuke10–13-0.0121%4 Oct →
ancient8–13-0.0218%4 Oct →
inferno13–40.0318%4 Oct →
ancient13–6-0.0026%4 Oct →
ancient13–70.0224%3 Oct →
dust213–6-0.0217%3 Oct →
inferno19–16-0.0129%3 Oct →
ancient13–90.0618%3 Oct →
ancient7–13-0.0119%28 Sept →
anubis10–130.0328%28 Sept →
ancient13–90.0119%27 Sept →
inferno6–130.0116%27 Sept →
dust25–130.0319%27 Sept →
nuke13–8-0.0215%27 Sept →
ancient13–80.0319%27 Sept →
cache7–13-0.0613%27 Sept →
cache9–13-0.0119%26 Sept →
dust25–13-0.0224%26 Sept →
dust213–50.0836%25 Sept →
ancient13–100.0619%25 Sept →
dust213–50.0836%25 Sept →
ancient13–110.0324%25 Sept →
dust213–80.0517%25 Sept →
inferno6–13-0.0320%24 Sept →
cache12–160.0130%24 Sept →
dust213–8-0.0613%23 Sept →
ancient13–70.0326%23 Sept →
cache13–8-0.0116%23 Sept →
ancient13–90.0123%23 Sept →
anubis10–130.0322%23 Sept →
dust213–70.0020%22 Sept →
ancient13–30.0517%22 Sept →
nuke5–13-0.0624%18 Sept →
ancient11–13-0.0214%18 Sept →
cache13–10-0.0216%18 Sept →
dust213–70.0019%18 Sept →
ancient13–10-0.0217%18 Sept →
ancient13–110.0115%17 Sept →
cache13–00.0517%17 Sept →
mirage20–220.0217%13 Sept →
ancient13–50.0721%11 Sept →
dust210–130.0628%10 Sept →
ancient13–10-0.0223%10 Sept →
nuke7–13-0.0222%10 Sept →
anubis5–13-0.0221%9 Sept →
nuke13–20.0717%6 Sept →
ancient13–40.0616%6 Sept →
dust213–10.1117%6 Sept →
ancient13–100.0816%6 Sept →
dust213–90.0123%6 Sept →
ancient16–14-0.0217%6 Sept →
anubis11–130.0120%1 Sept →
dust29–130.0318%1 Sept →
anubis13–40.1020%30 Aug →
inferno13–60.0415%30 Aug →
anubis13–9-0.0326%28 Aug →
nuke13–7-0.0116%28 Aug →
cache9–2-0.0411%26 Aug →
cache5–60.0720%26 Aug →
ancient13–100.0218%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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