Tomatost

Tomatost — CS2 Stats

76561198196993129[U:1:236727401]Steam profile ↗✓ No bans

705Tracked matches41%Win rate2020Tracked since
3,578Hours in CS1Hrs last 2 wks
CSDB Rating3.6 LearningPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 705
−0.6ppWin rate · 41.4% → 40.7%

Rating over time

56Days played since 2026-05-19

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate39.9%46.8%48.2%8.3% short
Shot accuracy17.7%13.0%13.2%above
Kill/death ratio1.011.061.070.06 short
Match win rate45.7%46.3%46.9%1.2% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTomatostFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.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

Aim34
Positioning47
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateLLWTWWLWTL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +0.1pp headshot accuracy · −13ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 595ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 604ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 610ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim3.4
Utility4.4
Positioning4.7
Opening Duels2.0
Clutch4.0

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

jL

Plays most like jL 67% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.4
Positioning4.7
Utility4.4
Mechanics3.8
Opening Duels2.3
Win Impact1.9

Composite 3.6/10 (Learning), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time610ms−19ms
first ⅓ avg 628ms → last ⅓ avg 610ms
Headshot accuracy15.0%−4.2%
first ⅓ avg 19.2% → last ⅓ avg 15.0%

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

0.11Best match rating · 13–8 · anubis, 10 Jun →
36%Best headshot accuracy · 13–7 · warden, 14 Jun →
430msFastest reaction time · 13–10 · inferno, 14 Aug →
13–0Biggest win · train, 7 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–6In matches decided by ≤2 rounds

Map breakdown

wardenBest map · 100% over 7dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
nukeC188–1044%-0.04
cacheC177–1041%-0.02
dust2C104–640%-0.02
boulderA106–460%-0.01
anubisB84–450%0.01
trainA85–363%-0.02
wardenS77–0100%0.00
infernoC52–340%-0.02
mirageC52–340%-0.02
ancient—42–250%-0.01
shelter—22–0100%0.01
overpass—21–150%-0.02
fachwerk—21–150%-0.01
vertigo—10–10%-0.17
office—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,187Lifetime kills
1.01K/D
4,087Matches
45.7%Match win rate
39.9%Headshot %
17.7%Shot accuracy · Top 25% of Level 8 players
9,672MVPs
1,220Hours (in match)
2,885Bombs planted
536Bombs defused

Most-used weapons

AK-4716,200
AWP7,520
XM10142,838
P901,624
MAC-101,471
Knife1,429

Lifetime map wins

7,558inferno
3,020dust2
2,951vertigo
1,768nuke
1,440train
258office
164cbble
81safehouse

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

Faceit stats

Combat

199Matches
57%Win rate
0.98Avg K/D
70.7ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
35%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1656%1.0114.3
Anubis1283%0.9815.9
Inferno850%1.0413.9
Dust2250%0.5612.5
Ancient250%0.8112.5
Nuke2100%0.7011.0
Vertigo10%1.4237.0

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.

15.6%Headshot accuracy
30.4%Accuracy (enemy spotted)
32.9%Spray accuracy
67.0%Counter-strafing
13.1°Preaim
614msReaction time
38.9%T opening success
39.5%CT opening success
0.52Enemies flashed / flash
5.0%Flash assists
5.81HE damage / grenade
11.87Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0564° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Dust 2

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 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0724%4 Nov →
nuke7–13-0.0520%29 Oct →
dust213–4-0.0611%21 Oct →
cache12–120.0318%18 Oct →
mirage13–110.0717%8 Oct →
dust213–60.0613%6 Oct →
vertigo5–9-0.175%23 Sept →
inferno9–60.0517%23 Sept →
cache12–12-0.0415%19 Sept →
cache8–7-0.1011%17 Sept →
anubis10–13-0.0110%16 Sept →
dust211–130.0123%14 Sept →
cache13–11-0.0126%10 Sept →
nuke9–13-0.0313%10 Sept →
mirage4–13-0.0112%10 Sept →
dust29–13-0.0915%6 Sept →
train8–13-0.0812%3 Sept →
ancient8–13-0.067%1 Sept →
anubis13–40.0317%31 Aug →
nuke11–13-0.0114%31 Aug →
mirage10–13-0.0717%30 Aug →
cache13–9-0.0213%30 Aug →
dust26–130.0429%25 Aug →
anubis8–13-0.079%24 Aug →
train9–130.0212%24 Aug →
boulder13–80.016%23 Aug →
cache4–13-0.0225%23 Aug →
shelter13–60.0717%22 Aug →
overpass13–60.0513%22 Aug →
overpass12–12-0.0931%20 Aug →
dust213–4-0.077%20 Aug →
anubis13–9-0.0010%19 Aug →
office13–8-0.027%19 Aug →
nuke13–3-0.0517%16 Aug →
cache13–7-0.0210%16 Aug →
dust210–13-0.0418%16 Aug →
anubis4–13-0.0516%16 Aug →
nuke6–13-0.098%14 Aug →
inferno13–100.0414%14 Aug →
nuke5–13-0.0516%13 Aug →
cache12–120.0319%13 Aug →
train13–9-0.0618%9 Aug →
nuke13–8-0.0113%8 Aug →
dust212–12-0.0115%8 Aug →
inferno4–13-0.0421%8 Aug →
nuke4–13-0.0716%8 Aug →
boulder13–8-0.0316%8 Aug →
train13–00.0217%7 Aug →
nuke10–13-0.069%4 Aug →
nuke13–3-0.0129%4 Aug →
boulder11–130.0515%3 Aug →
nuke13–5-0.0421%3 Aug →
mirage13–9-0.0223%31 Jul →
nuke9–130.099%31 Jul →
anubis6–13-0.014%31 Jul →
boulder10–13-0.0510%29 Jul →
train4–13-0.0626%26 Jul →
anubis13–110.0412%26 Jul →
boulder6–13-0.0921%26 Jul →
boulder13–50.0210%25 Jul →
train13–8-0.0129%25 Jul →
cache7–13-0.0726%24 Jul →
boulder8–130.0128%24 Jul →
boulder13–40.0320%21 Jul →
fachwerk6–13-0.1013%21 Jul →
boulder13–6-0.0421%18 Jul →
train13–60.0324%18 Jul →
nuke12–12-0.0611%18 Jul →
boulder13–11-0.0420%9 Jul →
shelter13–11-0.0619%9 Jul →
fachwerk5–00.0733%9 Jul →
nuke4–13-0.1127%5 Jul →
cache13–6-0.0810%25 Jun →
nuke13–9-0.0427%24 Jun →
dust210–130.0222%23 Jun →
mirage3–13-0.0721%17 Jun →
cache11–130.0831%15 Jun →
nuke13–8-0.0714%15 Jun →
nuke13–11-0.0717%14 Jun →
cache12–12-0.0513%14 Jun →
warden13–7-0.0636%14 Jun →
anubis13–80.1114%10 Jun →
warden13–7-0.0631%10 Jun →
warden13–30.0420%8 Jun →
cache3–13-0.0812%8 Jun →
cache13–7-0.0515%7 Jun →
warden13–50.0624%2 Jun →
inferno5–13-0.086%2 Jun →
nuke13–60.0220%2 Jun →
warden13–4-0.0316%31 May →
dust213–10-0.0415%28 May →
warden13–60.0426%28 May →
ancient7–13-0.0318%27 May →
warden13–10.0313%27 May →
train13–10-0.0413%23 May →
cache13–11-0.0012%23 May →
ancient13–10-0.0311%20 May →
cache13–11-0.0318%20 May →
ancient13–50.0920%19 May →
cache11–130.0032%19 May →

Match data via Leetify.

Recent teammates

Milestones

500 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.