tomp

tomp — CS2 Stats

76561197961089265[U:1:823537]Steam profile ↗✓ No bans

2,448Tracked matches67%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating18,052Purple band · top ~16.3% of ranked players (population est.)
FaceitLevel 9 · 2,157 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 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: 18,052 +425 8 Apr – 31 Oct · 5 days played
17,62719,832peak 19,8328 Apr31 Oct
Faceit ELO: 2,157 +0 3 Sept – 26 Oct · 2 observations
2,1572,157peak 2,1573 Sept26 Oct
19,832Peak Premier in tracked matches
2,157Highest Faceit ELO seen on CSDB
37Days played since 2026-03-24

Faceit ELO

  • At peak — 2,157
  • Next: 2,500 ELO at 2,500 — 343 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

Premier CS Rating

  • 1,780 below peak (19,832)
  • Next: Pink band at 20,000 — 1,948 to go
  • Reached: Purple band · Blue band · Light Blue band

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.GGtompFACEITLevel 9 · 2,157 ELOSTANDINGTop 20.7% of rankedPREMIER18,052 · Purple bandPEAK ELO2,157csdb.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

Aim57
Positioning62
Utility73

0–100 skill scores via Leetify.

Recent form

HOT59–39–2Last 10059%Win rateWWWLWWWWWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +1.1pp headshot accuracy · −52ms reaction

Win rate up 30pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 609ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 572ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 598ms

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: Support — Utility contribution stands above the rest of this profile (+2.8 against its own average).

Aim5.7
Utility7.3
Positioning6.2
Opening Duels0.9
Clutch3.6

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 61% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 593ms 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

Aim5.7
Positioning6.2
Utility7.3
Mechanics5.3
Opening Duels3.2
Win Impact10.0

Composite 6.2/10 (Solid), 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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time593ms−64ms
first ⅓ avg 657ms → last ⅓ avg 593ms
Headshot accuracy19.6%−2.0%
first ⅓ avg 21.6% → last ⅓ avg 19.6%

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

0.12Best match rating · 13–11 · dust2, 30 Sept →
50%Best headshot accuracy · 13–3 · anubis, 8 Apr →
422msFastest reaction time · 13–7 · nuke, 29 Oct →
13–2Biggest win · nuke, 4 Nov →

Across the last 100 tracked matches.

Highlights

12Longest win streak
W3Current streak
13–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 71% over 14infernoWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA2212–1055%-0.01
dust2A1710–759%0.01
ancientA159–660%-0.01
nukeS1410–471%-0.00
anubisS128–467%-0.01
infernoB105–550%-0.02
cacheB84–450%-0.02
overpass—21–150%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,901Matches
50%Win rate
0.97Avg K/D
73.5ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage23152%0.9914.8
Ancient15358%1.0215.5
Nuke12950%1.0114.6
Anubis11658%1.0816.3
Dust28249%1.0514.7
Inferno7049%0.9414.7
Overpass4551%1.1616.3
Train2752%0.8713.4

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.

19.3%Headshot accuracy
35.5%Accuracy (enemy spotted)
38.6%Spray accuracy
73.9%Counter-strafing
13.6°Preaim
593msReaction time
46.5%T opening success
39.0%CT opening success
0.68Enemies flashed / flash
10.3%Flash assists
5.79HE damage / grenade
11.63Flashes / 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 13.5807° — above the 12° mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0220%5 Nov →
nuke13–20.0124%4 Nov →
mirage13–9-0.0025%4 Nov →
inferno9–13-0.0425%4 Nov →
nuke13–60.0122%4 Nov →
inferno13–4-0.0232%4 Nov →
mirage13–11-0.0516%3 Nov →
cache13–110.0122%3 Nov →
nuke13–8-0.0223%3 Nov →
ancient14–16-0.079%3 Nov →
mirage13–110.0430%3 Nov →
mirage13–90.0631%31 Oct →
anubis13–7-0.0322%31 Oct →
inferno10–13-0.0029%31 Oct →
mirage7–13-0.0315%31 Oct →
mirage8–13-0.0316%30 Oct →
mirage13–11-0.0413%30 Oct →
cache9–13-0.0213%30 Oct →
mirage7–13-0.0319%30 Oct →
cache13–110.0121%29 Oct →
ancient13–60.0126%29 Oct →
nuke13–7-0.0123%29 Oct →
inferno13–5-0.046%28 Oct →
nuke16–14-0.0713%28 Oct →
ancient13–16-0.0415%27 Oct →
dust213–20.1227%27 Oct →
cache11–13-0.0512%27 Oct →
ancient11–130.0517%26 Oct →
cache13–7-0.029%24 Oct →
nuke13–90.0218%24 Oct →
anubis13–90.1022%24 Oct →
ancient13–11-0.0220%23 Oct →
mirage13–90.0014%20 Oct →
nuke6–13-0.0620%19 Oct →
mirage5–13-0.0718%18 Oct →
ancient13–4-0.047%18 Oct →
cache9–13-0.0915%18 Oct →
ancient13–7-0.0224%16 Oct →
inferno13–9-0.0314%16 Oct →
cache13–30.0316%16 Oct →
ancient13–8-0.0216%16 Oct →
nuke13–60.0034%16 Oct →
dust225–21-0.0124%14 Oct →
nuke13–60.0116%14 Oct →
mirage13–9-0.0215%14 Oct →
ancient13–100.0712%14 Oct →
dust216–14-0.0011%14 Oct →
dust213–80.0026%12 Oct →
anubis13–50.0232%12 Oct →
inferno10–13-0.0410%11 Oct →
inferno13–100.0015%10 Oct →
anubis13–90.0110%10 Oct →
mirage16–130.0322%10 Oct →
dust211–13-0.047%10 Oct →
dust28–13-0.0319%10 Oct →
dust213–10-0.0224%10 Oct →
mirage13–16-0.0420%9 Oct →
anubis9–13-0.0116%9 Oct →
nuke6–13-0.0015%9 Oct →
dust213–9-0.0423%9 Oct →
dust26–130.0121%7 Oct →
nuke13–40.0223%7 Oct →
inferno6–13-0.0333%7 Oct →
nuke12–160.0227%6 Oct →
anubis13–9-0.0118%6 Oct →
dust211–13-0.0433%6 Oct →
nuke8–130.0614%30 Sept →
dust213–110.1219%30 Sept →
cache7–13-0.0613%30 Sept →
anubis15–15-0.0319%26 Sept →
anubis13–10-0.0316%9 Sept →
mirage10–130.017%9 Sept →
anubis13–2-0.0120%22 Aug →
mirage15–15-0.0226%22 Aug →
ancient13–11-0.0116%1 Aug →
dust22–13-0.0813%1 Aug →
inferno10–13-0.0128%1 Aug →
ancient13–11-0.0130%2 Jun →
ancient2–13-0.0529%3 May →
mirage13–110.0418%3 May →
dust213–10-0.0319%30 Apr →
ancient8–130.0016%30 Apr →
mirage2–13-0.1016%30 Apr →
mirage16–19-0.0617%26 Apr →
anubis19–22-0.0324%26 Apr →
dust216–14-0.0122%23 Apr →
ancient13–40.0226%23 Apr →
mirage13–70.0317%23 Apr →
dust213–70.0926%23 Apr →
nuke13–40.0136%15 Apr →
mirage13–40.0114%15 Apr →
anubis13–3-0.0750%8 Apr →
overpass13–5-0.0413%8 Apr →
dust26–130.0714%8 Apr →
dust27–130.0431%29 Mar →
overpass11–130.0219%27 Mar →
ancient9–13-0.0829%27 Mar →
mirage13–100.0930%27 Mar →
mirage8–130.0421%24 Mar →
anubis9–130.0219%24 Mar →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches12-Win Streak
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.