TomTom

TomTom — CS2 Stats

AT76561198832949842[U:1:872684114]Steam profile ↗✓ No bans

1,068Tracked matches47%Win rate2020Tracked since
CSDB Rating4.4 DevelopingClutch Specialist
Premier CS Rating12,788Blue band · top ~40.1% of ranked players (population est.)
FaceitLevel 3 · 820 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (11 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: 12,788 -1,644 10 Apr – 29 Sept · 22 days played
12,47914,868peak 14,86810 Apr29 Sept
14,868Peak Premier in tracked matches
820Highest Faceit ELO seen on CSDB
29Days played since 2026-03-23

Faceit ELO

  • At peak — 820
  • Next: Level 4 at 901 — 81 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-20
  • Level 2 first seen 2026-09-20

Premier CS Rating

  • 2,080 below peak (14,868)
  • +154 over 30 days · steady
  • -854 over 90 days
  • Next: Purple band at 15,000 — 2,212 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-09-20

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.

Share this profile

CSDB.GGTomTomFACEITLevel 3 · 820 ELOSTANDINGTop 90.6% of rankedPREMIER12,788 · Blue bandPEAK ELO820csdb.gg/stats

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Performance scores

Aim44
Positioning54
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWLLWLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +1.9pp headshot accuracy · −56ms reaction

Win rate up 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 -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 578ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 594ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 622ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.7 against its own average).

Aim4.4
Utility6.1
Positioning5.4
Opening Duels2.6
Clutch9.6

Reliable in 1v1s

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

NiKo

Plays most like NiKo 68% 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. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.4
Positioning5.4
Utility6.1
Mechanics4.0
Opening Duels2.8
Win Impact3.9

Composite 4.4/10 (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-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time626ms−74ms
first ⅓ avg 700ms → last ⅓ avg 626ms
Headshot accuracy19.1%−1.5%
first ⅓ avg 20.5% → last ⅓ avg 19.1%

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 · 13–1 · inferno, 10 Apr →
36%Best headshot accuracy · 5–13 · nuke, 10 Apr →
453msFastest reaction time · 2–13 · ancient, 23 Mar →
13–1Biggest win · inferno, 10 Apr →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 78% over 9ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2715–1256%0.00
dust2B209–1145%-0.02
nukeC145–936%-0.01
ancientD123–925%-0.03
mirageS97–278%-0.00
cacheB84–450%0.01
anubisD82–625%-0.02
overpass—21–150%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

835Matches
50%Win rate
0.96Avg K/D
88.2ADR
38%Headshot %

Clutches & streaks

68%1v1 clutch win
31%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1362%1.1417.1
Inferno1377%1.1618.1
Ancient1155%1.2918.6
Nuke944%0.8914.3
Mirage714%0.8413.7
Dust2450%1.3222.3
Train367%1.2718.7
Vertigo333%0.7815.7

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.

18.3%Headshot accuracy
30.8%Accuracy (enemy spotted)
29.5%Spray accuracy
68.0%Counter-strafing
10.0°Preaim
629msReaction time
43.9%T opening success
38.9%CT opening success
0.64Enemies flashed / flash
4.5%Flash assists
9.96HE damage / grenade
7.75Flashes / 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 38.8816% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0518%29 Sept →
ancient7–13-0.0020%29 Sept →
nuke7–13-0.0912%27 Sept →
inferno13–60.0217%26 Sept →
mirage8–130.0421%26 Sept →
mirage13–30.0612%26 Sept →
inferno13–6-0.0422%26 Sept →
nuke10–13-0.0222%26 Sept →
inferno13–70.0620%22 Sept →
dust213–9-0.0116%22 Sept →
ancient11–13-0.0412%22 Sept →
cache11–13-0.0411%22 Sept →
inferno13–90.0322%21 Sept →
cache13–10-0.0116%21 Sept →
dust27–13-0.0325%21 Sept →
ancient6–13-0.0712%17 Sept →
inferno13–7-0.069%17 Sept →
anubis13–11-0.0120%10 Sept →
dust21–13-0.085%10 Sept →
inferno8–13-0.0230%10 Sept →
cache13–50.0521%10 Sept →
dust211–13-0.0920%7 Sept →
inferno13–7-0.0217%7 Sept →
dust213–80.0127%7 Sept →
inferno6–13-0.0026%7 Sept →
inferno7–13-0.0213%31 Aug →
dust29–13-0.0427%31 Aug →
dust210–13-0.0015%31 Aug →
anubis4–13-0.018%31 Aug →
nuke9–2-0.0233%31 Aug →
inferno13–90.0131%12 Aug →
nuke13–60.0331%11 Aug →
anubis10–13-0.0118%11 Aug →
inferno14–160.0228%11 Aug →
nuke7–130.0115%11 Aug →
dust213–70.0317%11 Aug →
cache7–130.0429%11 Aug →
ancient6–13-0.068%9 Aug →
anubis4–13-0.0315%9 Aug →
dust216–12-0.0332%9 Aug →
dust213–8-0.0026%9 Aug →
dust213–16-0.045%8 Aug →
cache13–100.0419%8 Aug →
nuke13–4-0.0530%8 Aug →
cache15–150.0318%8 Aug →
inferno13–9-0.0826%5 Aug →
dust211–13-0.0332%5 Aug →
mirage3–13-0.0413%4 Aug →
inferno13–70.0719%4 Aug →
cache13–6-0.0017%4 Aug →
anubis1–13-0.1022%4 Aug →
mirage13–8-0.0223%3 Aug →
inferno8–13-0.0017%3 Aug →
ancient5–13-0.065%3 Aug →
dust213–7-0.0219%31 Jul →
cache15–150.0019%31 Jul →
inferno9–130.0319%31 Jul →
inferno3–13-0.0123%23 Jun →
inferno13–100.0825%23 Jun →
nuke15–15-0.0125%23 Jun →
ancient13–100.0719%23 Jun →
anubis11–13-0.0015%23 Jun →
dust213–11-0.0213%16 Jun →
inferno7–13-0.038%16 Jun →
overpass10–13-0.0817%9 Jun →
inferno11–13-0.0217%9 Jun →
ancient13–80.018%9 Jun →
nuke11–130.0213%9 Jun →
nuke11–13-0.0017%26 May →
inferno13–100.0018%26 May →
mirage13–6-0.0216%19 May →
nuke10–130.1225%19 May →
anubis13–11-0.0219%15 May →
ancient1–13-0.0411%15 May →
dust213–8-0.0127%15 May →
nuke5–13-0.0524%15 May →
ancient8–130.0220%5 May →
inferno5–13-0.0313%5 May →
anubis8–130.0423%5 May →
inferno16–13-0.0414%16 Apr →
inferno13–60.0525%16 Apr →
dust24–13-0.0320%16 Apr →
ancient13–100.0416%13 Apr →
overpass13–5-0.0126%13 Apr →
mirage13–90.0320%13 Apr →
inferno8–130.0122%11 Apr →
dust211–13-0.0626%10 Apr →
dust213–7-0.0532%10 Apr →
inferno16–14-0.0020%10 Apr →
mirage13–20.0215%10 Apr →
ancient4–13-0.1211%10 Apr →
dust28–130.1125%10 Apr →
nuke5–13-0.0336%10 Apr →
inferno13–10.1324%10 Apr →
nuke13–9-0.0617%10 Apr →
inferno4–13-0.0925%23 Mar →
ancient2–13-0.0614%23 Mar →
mirage13–11-0.0222%23 Mar →
dust26–13-0.0228%23 Mar →
mirage13–3-0.0613%23 Mar →

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 →

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