Tom =D

Tom =D — CS2 Stats

GB76561198042061417[U:1:81795689]Steam profile ↗✓ No bans

479Tracked matches41%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating10,108Blue band · top ~54.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 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: 10,108 -644 3 Apr – 9 Oct · 31 days played
8,52012,284peak 12,2843 Apr9 Oct
12,641Peak Premier in tracked matches
56Days played since 2026-04-03

Premier CS Rating

  • 2,176 below peak (12,284)
  • -1,147 over 30 days · declining
  • Next: Purple band at 15,000 — 4,892 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGTom =DPREMIER10,108 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning58
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateWWLLLWWWTL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −1.3pp headshot accuracy · −2ms 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 530ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 526ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 526ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.1
Utility3.9
Positioning5.8
Opening Duels3.5

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

donk

Plays most like donk 90% 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 →

CSDB Rating breakdown

Aim6.1
Positioning5.8
Utility3.9
Mechanics5.6
Opening Duels4.5
Win Impact2.1

Composite 4.8/10 (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-0.02+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time539ms−91ms
first ⅓ avg 630ms → last ⅓ avg 539ms
Headshot accuracy13.7%−0.5%
first ⅓ avg 14.2% → last ⅓ avg 13.7%

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

0.06Best match rating · 13–3 · ancient, 28 Aug →
38%Best headshot accuracy · 16–13 · mirage, 1 Oct →
391msFastest reaction time · 3–9 · inferno, 17 Apr →
13–2Biggest win · cache, 7 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 55% over 20nukeWeakest map · 0% over 10
MapGradePlayedRecordWin rateAvg rating
cacheC229–1341%-0.02
dust2A2011–955%-0.01
mirageB178–947%-0.03
ancientA116–555%-0.01
nukeD100–100%-0.04
infernoC73–443%-0.05
anubis—43–175%-0.03
vertigo—41–325%-0.09
train—10–10%0.02
italy—11–0100%-0.07
office—11–0100%-0.05
poseidon—10–10%-0.20
overpass—10–10%-0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

14.5%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.7%Spray accuracy
75.1%Counter-strafing
10.4°Preaim
541msReaction time
46.0%T opening success
50.1%CT opening success
0.52Enemies flashed / flash
4.1%Flash assists
8.01HE damage / grenade
8.71Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.4688% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

0% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0213%9 Oct →
mirage13–10-0.069%9 Oct →
inferno7–13-0.0118%3 Oct →
ancient8–13-0.038%3 Oct →
nuke4–130.008%1 Oct →
mirage16–13-0.0238%1 Oct →
anubis13–3-0.059%27 Sept →
dust213–80.039%27 Sept →
cache15–150.0012%23 Sept →
cache2–13-0.099%20 Sept →
dust210–130.057%20 Sept →
cache3–13-0.0414%19 Sept →
mirage7–13-0.0417%19 Sept →
dust213–9-0.057%14 Sept →
ancient6–130.0216%14 Sept →
mirage1–13-0.0114%13 Sept →
cache6–13-0.0116%12 Sept →
dust20–11-0.0515%12 Sept →
dust214–16-0.0520%11 Sept →
mirage13–8-0.0019%11 Sept →
anubis2–13-0.105%5 Sept →
ancient8–13-0.049%4 Sept →
nuke9–13-0.0617%4 Sept →
cache7–13-0.0218%4 Sept →
ancient13–5-0.0217%4 Sept →
dust24–13-0.0114%3 Sept →
mirage13–10-0.0221%3 Sept →
ancient13–9-0.057%2 Sept →
dust213–50.0315%2 Sept →
inferno13–8-0.0220%2 Sept →
dust215–15-0.0316%2 Sept →
anubis16–12-0.006%1 Sept →
cache13–9-0.0411%1 Sept →
inferno13–6-0.1025%1 Sept →
dust213–6-0.049%1 Sept →
dust22–13-0.1121%1 Sept →
cache7–1-0.080%31 Aug →
mirage13–10-0.1011%31 Aug →
nuke3–13-0.083%30 Aug →
ancient13–3-0.015%30 Aug →
mirage7–13-0.080%29 Aug →
cache13–7-0.0312%29 Aug →
nuke9–13-0.106%28 Aug →
ancient13–30.0612%28 Aug →
cache13–110.0411%26 Aug →
nuke12–16-0.017%25 Aug →
nuke14–16-0.0214%21 Aug →
dust213–110.0111%21 Aug →
mirage10–13-0.0323%20 Aug →
cache13–90.0012%20 Aug →
mirage7–130.0111%19 Aug →
ancient13–7-0.0211%18 Aug →
dust213–70.0612%18 Aug →
nuke11–13-0.0013%16 Aug →
anubis13–90.0313%15 Aug →
ancient3–13-0.0415%15 Aug →
dust213–60.0211%15 Aug →
nuke8–13-0.016%14 Aug →
inferno3–13-0.084%13 Aug →
mirage4–13-0.0513%13 Aug →
dust213–9-0.0319%12 Aug →
cache13–60.0319%12 Aug →
nuke10–13-0.087%11 Aug →
dust213–90.0318%11 Aug →
mirage13–10-0.0213%10 Aug →
cache13–3-0.0215%9 Aug →
mirage13–6-0.0219%9 Aug →
ancient13–7-0.039%8 Aug →
dust29–13-0.0710%8 Aug →
mirage14–160.0223%6 Aug →
cache9–130.0229%6 Aug →
inferno9–13-0.0612%5 Aug →
mirage13–10-0.0114%21 Jul →
cache6–130.019%20 Jul →
mirage3–13-0.0314%18 Jul →
ancient11–130.0411%16 Jul →
dust26–13-0.0224%14 Jul →
cache12–12-0.048%5 Jul →
dust213–8-0.0415%22 Jun →
dust210–13-0.0212%21 Jun →
mirage9–13-0.043%17 Jun →
train11–130.0220%17 Jun →
cache12–120.0011%15 Jun →
nuke6–13-0.0421%15 Jun →
cache5–13-0.0324%8 Jun →
italy13–11-0.078%8 Jun →
vertigo12–12-0.0811%4 Jun →
vertigo1–13-0.0412%4 Jun →
vertigo13–4-0.030%4 Jun →
office13–6-0.0516%13 May →
dust213–60.0121%9 May →
cache11–13-0.0621%7 May →
cache13–2-0.0315%7 May →
cache5–13-0.044%5 May →
cache13–11-0.0121%2 May →
cache1–13-0.0220%2 May →
poseidon3–9-0.2010%17 Apr →
vertigo1–9-0.2211%17 Apr →
inferno3–9-0.0225%17 Apr →
overpass9–13-0.106%3 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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