Tom die Mot

Tom die Mot — CS2 Stats

BW76561198797321356[U:1:837055628]Steam profile ↗✓ No bans

1,712Tracked matches57%Win rate2021Tracked since
1,186Hours in CS
CSDB Rating4.7 DevelopingAll-Rounder
Premier CS Rating10,897Blue band · top ~50.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 22 days played since 27 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,897 +6,206 27 Apr16 Sept · 17 days played
4,69111,433peak 11,43327 Apr16 Sept
11,433Peak Premier in tracked matches
22Days played since 2026-04-27

Premier CS Rating

  • 536 below peak (11,433)
  • Next: Purple band at 15,000 4,103 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light Blue band first seen 2026-09-14

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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=19,543), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate32.8%41.9%44.3%11.6% short
Shot accuracy14.6%9.6%11.8%above
Kill/death ratio0.980.981.030.05 short
Match win rate40.6%43.8%45.2%4.6% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGTom die MotPREMIER10,897 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning52
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY55432Last 10055%Win rateLWWLLWWLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −2.2pp headshot accuracy · −29ms 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 688ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 622ms

Last 20

  • 137 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 636ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim4.6
Utility4.8
Positioning5.2
Opening Duels3.6

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

iM

Plays most like iM 76% 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. 620ms 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

Aim4.6
Positioning5.2
Utility4.8
Mechanics5.1
Opening Duels3.5
Win Impact7.2

Composite 4.7/10 (Developing), 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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time632ms+19ms
first ⅓ avg 612ms → last ⅓ avg 632ms
Headshot accuracy16.3%+2.0%
first ⅓ avg 14.3% → last ⅓ avg 16.3%

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.

Personal bests

0.13Best match rating · 13–2 · dust2, 6 Sept
33%Best headshot accuracy · 10–13 · cache, 27 Aug
398msFastest reaction time · 7–13 · inferno, 26 Aug
13–2Biggest win · dust2, 6 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
97In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 67% over 21ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
nukeA2213959%0.00
infernoS2114767%-0.01
cacheB178947%-0.02
mirageB147750%0.01
ancientC125742%-0.02
dust2B126650%-0.01
anubis220100%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,240Lifetime kills
0.98K/D
2,949Matches
40.6%Match win rate
32.8%Headshot %
14.6%Shot accuracy · Top 25% of Blue band
5,732MVPs
1,186Hours (in match)
3,094Bombs planted
485Bombs defused

Most-used weapons

AWP16,195
AK-479,834
MP72,603
P2502,246
MAC-101,625
AUG1,339
P901,255

Lifetime map wins

6,241inferno
3,952dust2
3,575nuke
2,018vertigo
931train
66cbble
17stmarc
11italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.9%Headshot accuracy
34.2%Accuracy (enemy spotted)
24.8%Spray accuracy
73.0%Counter-strafing
10.6°Preaim
620msReaction time
40.2%T opening success
48.0%CT opening success
0.51Enemies flashed / flash
4.2%Flash assists
13.09HE damage / grenade
5.15Flashes / match

Recommended for you

Spend your practice time on Ancient

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–16-0.0415%16 Sept
nuke13–110.0512%16 Sept
inferno13–90.0110%16 Sept
ancient9–13-0.0717%15 Sept
inferno13–16-0.058%15 Sept
inferno13–70.0415%14 Sept
nuke13–70.0619%14 Sept
ancient11–13-0.0412%9 Sept
cache13–7-0.0910%9 Sept
inferno13–6-0.0120%9 Sept
cache4–130.0215%7 Sept
inferno9–13-0.0211%7 Sept
nuke13–9-0.027%7 Sept
mirage13–5-0.0122%7 Sept
inferno13–4-0.0521%6 Sept
cache13–11-0.0113%6 Sept
inferno13–10-0.0213%6 Sept
cache13–70.0119%6 Sept
mirage6–13-0.0522%6 Sept
dust213–20.1316%6 Sept
dust213–70.0422%6 Sept
dust213–70.0025%6 Sept
ancient9–13-0.0214%5 Sept
nuke9–13-0.0228%5 Sept
inferno13–80.0821%5 Sept
cache3–13-0.0510%4 Sept
mirage2–130.0227%4 Sept
ancient5–13-0.0517%4 Sept
nuke8–130.0211%4 Sept
cache13–7-0.0117%4 Sept
nuke13–60.1014%4 Sept
cache13–11-0.018%4 Sept
nuke11–13-0.0426%2 Sept
inferno13–7-0.0411%2 Sept
cache13–16-0.028%2 Sept
ancient11–13-0.0114%2 Sept
nuke13–7-0.0316%31 Aug
ancient13–10-0.0018%31 Aug
mirage4–13-0.0212%31 Aug
inferno13–30.1015%31 Aug
ancient2–13-0.1016%30 Aug
ancient13–5-0.0011%30 Aug
dust28–13-0.0119%30 Aug
dust213–3-0.0312%30 Aug
ancient13–10-0.0520%30 Aug
cache13–80.0126%29 Aug
nuke13–7-0.108%29 Aug
nuke13–3-0.0215%29 Aug
dust213–30.0311%29 Aug
cache9–13-0.0516%29 Aug
nuke10–13-0.0321%29 Aug
cache13–80.0118%29 Aug
inferno16–14-0.0221%29 Aug
ancient9–13-0.0111%28 Aug
inferno11–13-0.015%28 Aug
dust213–9-0.0519%28 Aug
mirage13–100.0613%28 Aug
anubis16–14-0.0515%28 Aug
nuke13–11-0.0420%28 Aug
cache3–13-0.060%28 Aug
cache10–130.0133%27 Aug
nuke13–60.0724%27 Aug
anubis13–7-0.1116%27 Aug
nuke15–15-0.0120%27 Aug
dust26–13-0.0431%27 Aug
ancient13–80.0530%27 Aug
cache8–130.0618%26 Aug
ancient13–30.0611%26 Aug
cache11–13-0.077%26 Aug
inferno13–50.0119%26 Aug
nuke11–13-0.0623%26 Aug
inferno7–130.0118%26 Aug
nuke8–13-0.0413%26 Aug
inferno5–13-0.117%25 Aug
cache16–12-0.0811%25 Aug
dust25–13-0.0715%25 Aug
mirage16–140.0313%25 Aug
dust210–13-0.0116%25 Aug
mirage10–130.0117%24 Aug
inferno16–13-0.0315%24 Aug
inferno6–13-0.0018%24 Aug
inferno2–13-0.0213%23 Aug
mirage7–130.0517%23 Aug
dust28–13-0.1111%23 Aug
dust215–15-0.0114%23 Aug
nuke4–13-0.0116%23 Aug
nuke13–6-0.0121%23 Aug
inferno16–14-0.0216%23 Aug
inferno13–6-0.0118%23 Aug
nuke13–60.0310%23 Aug
mirage11–13-0.0216%23 Aug
inferno13–9-0.019%22 Aug
nuke13–50.0412%21 Aug
mirage8–13-0.0319%21 Aug
mirage13–5-0.0115%21 Aug
mirage13–100.099%28 Apr
nuke10–130.0714%28 Apr
mirage13–9-0.0213%27 Apr
mirage13–80.0413%27 Apr
nuke16–140.0615%27 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 →