♔Tom

♔Tom — CS2 Stats

76561198172161005[U:1:211895277]Steam profile ↗✓ No bans

1,873Tracked matches50%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating21,209Top 50% of 180,525 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#59904 of 227208 tracked
FaceitLevel 8 · 1,653 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (3 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. 51 days played since 7 Jun 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: 21,209 -1,889 7 Jun16 Sept · 42 days played
17,74323,098peak 23,0987 Jun16 Sept
23,098Peak Premier in tracked matches
1,653Highest Faceit ELO seen on CSDB
51Days played since 2026-06-07

Faceit ELO

  • At peak — 1,653
  • Next: Level 9 at 1,751 98 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-03
  • Level 7 first seen 2026-09-03

Premier CS Rating

  • 1,889 below peak (23,098)
  • +1,923 over 30 days · improving
  • +430 over 90 days
  • Next: Red band at 25,000 3,791 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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.GG♔TomFACEITLevel 8 · 1,653 ELOSTANDINGTop 31.2% of rankedPREMIER21,209 · Pink bandPEAK ELO1,653csdb.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

Aim69
Positioning53
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateWWLLLLWLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +4.1pp headshot accuracy · +65ms 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 -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 594ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 638ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 605ms

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: SupportUtility contribution stands above the rest of this profile (+1.9 against its own average).

Aim6.9
Utility6.9
Positioning5.3
Opening Duels4.4
Clutch3.4

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 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 592ms 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

Aim6.9
Positioning5.3
Utility6.9
Mechanics6.4
Opening Duels4.6
Win Impact5.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time607ms−24ms
first ⅓ avg 631ms → last ⅓ avg 607ms
Headshot accuracy23.3%+3.8%
first ⅓ avg 19.4% → last ⅓ avg 23.3%

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

0.14Best match rating · 13–7 · mirage, 9 Aug
50%Best headshot accuracy · 2–1 · mirage, 5 Aug
383msFastest reaction time · 4–13 · inferno, 13 Sept
13–1Biggest win · mirage, 11 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
610In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 83% over 6ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB39211854%0.03
dust2B26131350%-0.01
infernoC156940%-0.00
ancientD61517%-0.01
nukeS65183%0.00
anubisD51420%-0.02
cache21150%0.06
overpass1010%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,567Matches
50%Win rate
1.04Avg K/D
74.0ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
21Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage18155%1.0315.5
Ancient5956%1.0615.9
Anubis5250%0.8914.2
Dust25139%0.9815.1
Inferno4144%1.0914.8
Nuke3030%0.8314.7
Overpass1747%0.8113.0
Vertigo1338%1.0515.6

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.

22.6%Headshot accuracy
33.1%Accuracy (enemy spotted)
34.8%Spray accuracy
79.0%Counter-strafing
10.4°Preaim
592msReaction time
53.1%T opening success
43.9%CT opening success
0.55Enemies flashed / flash
9.6%Flash assists
14.16HE damage / grenade
14.74Flashes / 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient10–4-0.0223%16 Sept
inferno16–140.0627%15 Sept
mirage14–16-0.0321%14 Sept
inferno4–13-0.0211%13 Sept
inferno11–13-0.0519%13 Sept
mirage13–160.0822%13 Sept
dust213–20.0825%12 Sept
dust23–13-0.0647%12 Sept
inferno13–30.0317%12 Sept
mirage13–40.0523%12 Sept
mirage13–30.0321%12 Sept
dust213–90.1019%11 Sept
inferno13–80.0526%10 Sept
dust210–130.0120%10 Sept
inferno9–13-0.0612%10 Sept
mirage13–40.1227%10 Sept
dust216–13-0.0329%9 Sept
mirage13–60.1016%9 Sept
mirage6–13-0.0117%8 Sept
inferno9–13-0.086%7 Sept
ancient4–13-0.0030%7 Sept
dust28–13-0.1217%7 Sept
mirage8–130.0113%7 Sept
dust213–11-0.0321%7 Sept
dust213–8-0.0127%6 Sept
inferno11–13-0.0517%5 Sept
dust213–90.0239%5 Sept
dust212–160.0118%5 Sept
inferno13–11-0.0033%2 Sept
nuke10–13-0.0434%2 Sept
dust213–80.0627%1 Sept
dust213–11-0.0426%1 Sept
anubis3–13-0.0135%31 Aug
mirage9–13-0.0025%31 Aug
mirage16–12-0.0120%30 Aug
inferno10–13-0.0233%30 Aug
mirage13–8-0.0515%30 Aug
inferno7–130.0336%30 Aug
nuke13–4-0.0134%30 Aug
mirage7–13-0.0316%30 Aug
ancient14–160.0119%29 Aug
mirage13–90.0721%29 Aug
mirage13–40.0122%29 Aug
mirage10–60.0635%29 Aug
ancient15–15-0.0227%29 Aug
anubis6–13-0.0412%28 Aug
nuke13–5-0.0016%28 Aug
inferno7–13-0.0226%27 Aug
mirage15–150.0218%26 Aug
mirage13–50.0515%26 Aug
mirage15–150.0921%24 Aug
nuke13–9-0.0125%24 Aug
mirage13–90.0928%23 Aug
mirage9–130.0421%23 Aug
dust26–13-0.0021%23 Aug
mirage13–5-0.0027%22 Aug
nuke13–110.0516%20 Aug
inferno13–100.0327%19 Aug
mirage16–130.0520%18 Aug
dust210–13-0.0519%18 Aug
mirage13–10.0432%11 Aug
dust213–10-0.0617%10 Aug
mirage13–70.1419%9 Aug
mirage13–50.1426%7 Aug
mirage13–70.0928%6 Aug
mirage2–1-0.0350%5 Aug
mirage13–160.1129%4 Aug
dust213–60.0424%4 Aug
dust211–13-0.0223%1 Aug
inferno11–130.0416%1 Aug
cache13–30.1025%31 Jul
mirage4–130.0735%30 Jul
cache11–130.0321%29 Jul
mirage7–4-0.0114%12 Jul
mirage11–13-0.0615%12 Jul
inferno13–4-0.0110%12 Jul
mirage12–12-0.0610%10 Jul
dust27–13-0.0314%5 Jul
anubis13–2-0.0121%4 Jul
dust28–13-0.0110%4 Jul
dust23–13-0.0510%1 Jul
mirage13–70.0721%1 Jul
mirage2–130.0339%1 Jul
dust213–6-0.0617%22 Jun
anubis6–12-0.0213%21 Jun
nuke13–80.0317%20 Jun
ancient10–130.013%20 Jun
overpass5–13-0.0523%14 Jun
mirage1–13-0.0723%14 Jun
dust213–60.0024%13 Jun
dust213–70.0335%13 Jun
mirage11–130.0426%13 Jun
mirage16–120.0212%11 Jun
dust210–13-0.0414%11 Jun
dust26–13-0.0423%10 Jun
mirage3–13-0.0818%10 Jun
anubis9–13-0.0515%8 Jun
mirage13–70.0625%7 Jun
ancient14–16-0.0224%7 Jun
dust27–13-0.0521%7 Jun

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 →