Tomato Man — CS2 Stats

76561198353488799[U:1:393223071]

1,672Tracked matches53%Win rate2020Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating11,360Blue band · top ~47.7% of ranked players (population est.)
CSDB Leaderboard#37747 of 54242 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTomato ManFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER11,360 · Blue bandcsdb.gg/stats

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Performance scores

Aim81
Positioning44
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY55414Last 10055%Win rateLWLLLWLWWL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim8.1
Aggression5.4
Utility4.5
Positioning4.4
Opening Duels2.8
Clutch2.0

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

NiKo

Plays most like NiKo 90% playstyle similarity

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

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 582ms 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

Aim8.1
Positioning4.4
Utility4.5
Mechanics7.1
Opening Duels2.8
Win Impact6.1

Composite 5.6/10 (Solid), 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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time582ms−25ms
first ⅓ avg 607ms → last ⅓ avg 582ms
Headshot accuracy11.5%−1.2%
first ⅓ avg 12.7% → last ⅓ avg 11.5%

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

0.11Best rating — cache 13–2
130Biggest win — dust2
6Longest win streak
144In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 67% over 6dust2Weakest map · 50% over 20
MapGradePlayedRecordWin rateAvg rating
mirageA27161159%0.00
dust2B20101050%0.01
ancientA1810856%0.02
cacheB126650%0.02
infernoA117464%0.02
nukeS64267%0.01
anubis41325%0.01
vertigo1010%-0.01
overpass110100%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

177Matches
49%Win rate
0.93Avg K/D
81.3ADR
37%Headshot %

Clutches & streaks

30%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5444%0.9613.8
Inferno3050%1.0515.3
Vertigo2756%0.8813.9
Ancient2446%0.8914.5
Dust22343%0.8513.5
Nuke862%0.8514.1
Anubis520%0.8012.2
Train1100%1.3316.0

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.

10.9%Headshot accuracy
40.3%Accuracy (enemy spotted)
42.3%Spray accuracy
81.9%Counter-strafing
7.0°Preaim
582msReaction time
34.2%T opening success
48.0%CT opening success
0.62Enemies flashed / flash
3.7%Flash assists
10.21HE damage / grenade
4.93Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.9178% — below the 15% mark we flag

    Aim Training
  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 34.1964% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage7–130.0310%28 Aug
ancient13–100.0411%28 Aug
mirage3–13-0.0112%28 Aug
dust29–13-0.0312%24 Aug
mirage7–13-0.0412%24 Aug
nuke13–11-0.0714%23 Aug
anubis7–13-0.017%23 Aug
ancient13–110.0813%23 Aug
inferno13–70.026%23 Aug
cache8–130.0413%23 Aug
cache9–130.0312%23 Aug
mirage11–13-0.009%23 Aug
dust27–13-0.049%22 Aug
cache10–30.0413%22 Aug
mirage13–20.0313%22 Aug
ancient13–80.0014%22 Aug
ancient13–8-0.025%21 Aug
nuke13–60.008%21 Aug
dust23–130.0018%21 Aug
inferno13–70.066%21 Aug
mirage10–13-0.0216%20 Aug
cache16–140.0110%20 Aug
dust213–80.0612%19 Aug
dust24–13-0.1116%19 Aug
mirage5–13-0.057%19 Aug
mirage13–8-0.007%19 Aug
cache13–11-0.019%14 Aug
mirage13–80.028%14 Aug
dust213–70.0414%14 Aug
ancient5–13-0.0216%11 Aug
mirage13–10-0.0020%11 Aug
mirage13–10-0.047%30 Jul
mirage10–130.0321%30 Jul
inferno13–30.067%29 Jul
mirage13–40.034%29 Jul
cache13–20.1116%27 Jul
mirage13–160.068%27 Jul
ancient13–60.117%26 Jul
dust25–13-0.0313%26 Jul
inferno13–110.009%17 Jul
mirage13–20.0011%17 Jul
cache5–130.0113%17 Jul
dust213–80.1110%15 Jul
mirage8–13-0.066%15 Jul
nuke13–50.0218%14 Jul
mirage13–70.058%14 Jul
cache8–130.016%10 Jul
mirage7–130.016%10 Jul
inferno7–13-0.036%19 Jun
mirage13–11-0.0311%18 Jun
dust213–20.0818%18 Jun
dust29–13-0.0212%18 Jun
ancient13–10-0.0113%17 Jun
vertigo9–13-0.0110%16 Jun
cache10–130.0412%16 Jun
nuke6–13-0.0113%14 Jun
anubis13–80.0413%14 Jun
dust213–100.0113%14 Jun
ancient13–11-0.007%14 Jun
nuke13–100.0613%4 Jun
inferno9–130.0512%4 Jun
ancient13–11-0.016%3 Jun
dust213–8-0.0215%3 Jun
inferno15–15-0.066%2 Jun
anubis5–13-0.0311%2 Jun
ancient15–15-0.036%2 Jun
inferno15–15-0.034%1 Jun
ancient9–130.0118%27 May
dust24–130.0517%27 May
inferno13–70.002%26 May
ancient8–130.037%26 May
anubis8–130.0216%22 May
mirage13–110.0233%21 May
ancient10–130.0415%21 May
dust213–00.0824%21 May
overpass13–110.1114%21 May
ancient11–130.1118%21 May
mirage14–160.0415%21 May
dust216–140.0418%21 May
mirage13–50.0115%21 May
ancient13–50.027%14 May
dust210–13-0.026%13 May
inferno13–110.0312%12 May
cache12–12-0.0315%12 May
cache13–80.0310%12 May
mirage5–00.0829%12 May
mirage13–11-0.076%11 May
inferno13–80.079%11 May
mirage13–40.0111%11 May
ancient4–130.044%11 May
nuke8–130.0412%10 May
dust26–13-0.068%10 May
dust29–130.0614%10 May
mirage13–2-0.008%10 May
ancient13–10-0.036%9 May
cache13–7-0.025%9 May
dust213–70.0112%9 May
mirage13–70.0311%8 May
dust216–14-0.0214%8 May
ancient11–13-0.0111%8 May

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 →