✪ Tompson

✪ Tompson — CS2 Stats

BE76561198018844002[U:1:58578274]Steam profile ↗✓ No bans

1,234Tracked matches43%Win rate2020Tracked since
13,282Hours in CS
CSDB Rating6.8 SolidAll-Rounder
Premier CS Rating24,817Top 25% of 201,820 CSDB-tracked playersPink band · top ~3.2% of ranked players (population est.)
CSDB Leaderboard#23842 of 249444 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,234 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,817 +2,909 24 Mar – 23 Sept · 21 days played
21,49526,584peak 26,58424 Mar23 Sept
26,584Peak Premier in tracked matches
57Days played since 2024-02-10

Premier CS Rating

  • 1,767 below peak (26,584)
  • -749 over 30 days · declining
  • +3,322 over 90 days
  • Next: Red band at 25,000 — 183 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-13
  • Purple band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

No matches recorded between 7 Sep 2026 and 4 Oct 2026.

Measured 7 Sep 2026 → 4 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate51.8%46.9%49.2%above
Shot accuracy22.5%13.0%13.4%above
Kill/death ratio1.041.081.120.08 short
Match win rate48.9%46.7%48.5%meets

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✪ TompsonPREMIER24,817 · Pink bandcsdb.gg/stats

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Performance scores

Aim88
Positioning66
Utility63

0–100 skill scores via Leetify.

Recent form

COLD57–41–2Last 10057%Win rateWLLLLLLLLL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · +2.7pp headshot accuracy · +76ms reaction

Win rate down 50pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 531ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 594ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 556ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim8.8
Utility6.3
Positioning6.6
Opening Duels4.9
Clutch5.6

Sharp aimer

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 97% playstyle similarity

Most alike: aim profile, utility contribution.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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

Aim8.8
Positioning6.6
Utility6.3
Mechanics7.1
Opening Duels4.5
Win Impact2.8

Composite 6.8/10 (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 rating0.05+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.05
Reaction time556ms−21ms
first ⅓ avg 576ms → last ⅓ avg 556ms
Headshot accuracy17.8%−2.6%
first ⅓ avg 20.3% → last ⅓ avg 17.8%

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

0.27Best match rating · 13–1 · cache, 25 Aug →
100%Best headshot accuracy · 2–0 · mirage, 14 Mar →
328msFastest reaction time · 5–2 · inferno, 23 Feb →
13–0Biggest win · nuke, 24 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2413–1154%0.04
nukeC167–944%0.02
dust2B158–753%0.02
infernoS1410–471%0.03
cacheB84–450%0.08
ancientD62–433%0.01
anubisS64–267%0.05
trainS54–180%0.06
overpass—43–175%0.07
vertigo—22–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

268,687Lifetime kills
1.04K/D
7,614Matches
48.9%Match win rate · Top 50% of Pink band
51.8%Headshot % · Top 50% of Pink band
22.5%Shot accuracy · Top 1% of Pink band
22,289MVPs
13,282Hours (in match)
8,993Bombs planted
2,351Bombs defused

Most-used weapons

AK-47105,795
AWP25,599
P2504,939
Knife4,185
FAMAS3,564
SG 5533,276

Lifetime map wins

20,448inferno
14,576dust2
11,512nuke
4,033train
2,170cbble
2,165vertigo
117lake
91office

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

Faceit stats

Combat

3,302Matches
52%Win rate
1.24Avg K/D
83.1ADR
45%Headshot %

Clutches & streaks

48%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3247%1.1316.9
Nuke2148%1.2418.3
Ancient1747%1.0215.7
Inferno1747%1.4217.9
Anubis1650%1.1417.1
Dust21450%1.1216.0
Vertigo729%1.1917.6
Train475%1.9023.0

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.

18.1%Headshot accuracy
42.0%Accuracy (enemy spotted)
42.9%Spray accuracy
81.9%Counter-strafing
8.3°Preaim
546msReaction time
49.7%T opening success
45.9%CT opening success
0.64Enemies flashed / flash
7.0%Flash assists
10.61HE damage / grenade
12.40Flashes / 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–50.0220%3 Sept →
dust29–130.0419%29 Aug →
cache3–13-0.059%28 Aug →
mirage8–130.0224%28 Aug →
nuke8–130.0614%28 Aug →
ancient4–130.0628%28 Aug →
dust26–130.0540%27 Aug →
mirage1–130.0112%27 Aug →
cache5–130.0414%27 Aug →
dust20–8-0.0514%26 Aug →
inferno11–13-0.0319%25 Aug →
mirage8–130.1118%25 Aug →
cache13–10.2725%25 Aug →
cache13–40.0616%23 Aug →
cache13–100.067%23 Aug →
dust216–13-0.027%23 Aug →
inferno13–40.0113%23 Aug →
ancient14–160.0221%23 Aug →
inferno9–13-0.0124%23 Aug →
mirage13–70.0616%23 Aug →
inferno13–90.0419%23 Aug →
mirage13–90.0619%9 Aug →
cache14–160.1123%8 Aug →
inferno13–110.1213%8 Aug →
cache7–130.0227%8 Aug →
mirage7–130.0017%7 Aug →
cache13–60.1115%7 Aug →
nuke2–130.0323%6 Aug →
anubis13–40.0720%5 Aug →
mirage13–30.227%5 Aug →
dust213–9-0.0211%3 Aug →
overpass13–60.0621%2 Jul →
nuke13–100.0313%30 Jun →
mirage3–130.0224%30 Jun →
dust212–160.0722%21 Jun →
inferno13–20.0917%13 Jun →
overpass7–13-0.0012%13 Jun →
overpass13–100.0316%14 May →
dust213–6-0.0217%14 May →
inferno13–90.0333%13 May →
overpass13–30.2018%12 May →
dust213–110.1325%23 Apr →
mirage13–10.119%14 Apr →
nuke6–130.0840%12 Apr →
nuke13–60.0624%12 Apr →
nuke7–13-0.0116%12 Apr →
mirage6–13-0.0313%10 Apr →
mirage9–130.0220%4 Apr →
dust27–13-0.0218%26 Mar →
nuke11–13-0.0416%14 Mar →
mirage6–13-0.0223%14 Mar →
mirage2–00.01100%14 Mar →
nuke10–50.0510%13 Mar →
nuke11–2-0.055%13 Mar →
dust213–90.0015%4 Mar →
dust23–13-0.0723%14 Jan →
mirage13–70.0012%26 Aug →
dust25–130.0719%26 Aug →
mirage9–130.0016%25 Aug →
mirage13–20.1142%23 Aug →
train13–11-0.0317%8 Aug →
train13–80.1425%24 Mar →
inferno9–13-0.0124%24 Mar →
ancient13–11-0.0217%24 Mar →
anubis15–150.0017%4 Mar →
dust213–100.0229%1 Mar →
inferno0–4-0.060%27 Feb →
mirage6–13-0.0511%26 Feb →
mirage13–60.1320%26 Feb →
mirage13–7-0.0119%25 Feb →
ancient5–13-0.0624%25 Feb →
nuke3–13-0.0136%23 Feb →
nuke13–50.017%23 Feb →
inferno5–20.0724%23 Feb →
anubis13–80.0314%22 Feb →
anubis13–90.0423%20 Feb →
train13–100.0529%8 Feb →
mirage13–60.099%8 Feb →
inferno13–50.0532%2 Feb →
inferno13–100.0532%1 Feb →
nuke7–130.0123%1 Feb →
mirage13–70.0133%1 Feb →
ancient9–13-0.0224%29 Jan →
train12–120.0618%27 Jan →
dust213–20.1424%27 Jan →
anubis7–130.0530%25 Jan →
vertigo13–110.058%24 Nov →
dust213–40.0225%24 Nov →
train13–60.0819%23 Nov →
mirage13–90.0720%14 Sept →
mirage13–7-0.0221%14 Sept →
nuke13–40.0114%14 Sept →
vertigo13–40.0510%25 Aug →
inferno11–40.0317%25 Aug →
mirage7–13-0.0731%25 Aug →
nuke7–130.0122%7 May →
ancient13–50.0613%24 Mar →
nuke13–00.000%24 Mar →
nuke19–220.0228%2 Mar →
anubis13–20.0812%10 Feb →

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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