Tom

Tom — CS2 Stats

KP76561199033864844[U:1:1073599116]Steam profile ↗✓ No bans

566Tracked matches44%Win rate2024Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating20,625Top 50% of 215,558 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#75586 of 261653 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (16 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: 20,625 +86 10 Sept – 30 Oct · 17 days played
20,53923,721peak 23,72110 Sept30 Oct
23,890Peak Premier in tracked matches
37Days played since 2026-08-27

Premier CS Rating

  • 3,096 below peak (23,721)
  • -2,433 over 30 days · declining
  • Next: Red band at 25,000 — 4,375 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-19
  • Purple band first seen 2026-10-19

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

Share this profile

CSDB.GGTomPREMIER20,625 · Pink bandcsdb.gg/stats

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Performance scores

Aim70
Positioning47
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateTWLLTWWWLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +0.1pp headshot accuracy · +99ms 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 592ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 620ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 571ms

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 against its own average).

Aim7.0
Utility6.2
Positioning4.7
Opening Duels1.7

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 83% 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. 574ms 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

Aim7.0
Positioning4.7
Utility6.2
Mechanics7.2
Opening Duels1.4
Win Impact3.1

Composite 5.6/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time572ms+52ms
first ⅓ avg 520ms → last ⅓ avg 572ms
Headshot accuracy12.6%−1.2%
first ⅓ avg 13.8% → last ⅓ avg 12.6%

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

0.16Best match rating · 13–3 · dust2, 27 Aug →
31%Best headshot accuracy · 11–13 · mirage, 7 Sept →
375msFastest reaction time · 13–7 · ancient, 16 Oct →
13–1Biggest win · dust2, 8 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B3016–1453%0.02
mirageA2615–1158%0.02
ancientA169–756%-0.01
infernoD93–633%-0.00
anubisC94–544%0.03
cacheA53–260%-0.03
nuke—42–250%-0.01
train—10–10%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno 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.

12.4%Headshot accuracy
38.2%Accuracy (enemy spotted)
41.2%Spray accuracy
82.4%Counter-strafing
11.1°Preaim
574msReaction time
31.7%T opening success
39.4%CT opening success
0.53Enemies flashed / flash
5.0%Flash assists
12.32HE damage / grenade
12.85Flashes / 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 12.3991% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.7177% — below the 40% mark we flag

Spend your practice time on Inferno

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 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–120.015%8 Nov →
dust213–10.0311%8 Nov →
inferno4–13-0.0417%30 Oct →
dust28–13-0.0513%30 Oct →
mirage12–12-0.0610%30 Oct →
dust213–50.0415%30 Oct →
mirage13–90.0115%29 Oct →
dust213–40.0816%29 Oct →
ancient3–11-0.0510%29 Oct →
dust27–130.055%28 Oct →
dust213–30.0115%27 Oct →
mirage4–130.086%27 Oct →
dust212–120.0713%27 Oct →
dust26–13-0.0617%26 Oct →
cache16–14-0.036%24 Oct →
dust23–13-0.046%24 Oct →
inferno7–13-0.1012%24 Oct →
mirage13–4-0.004%23 Oct →
ancient9–13-0.0023%23 Oct →
anubis5–50.1016%23 Oct →
dust24–13-0.046%23 Oct →
anubis9–13-0.0313%23 Oct →
dust24–130.0026%23 Oct →
inferno16–120.0416%22 Oct →
train6–130.0112%22 Oct →
inferno13–60.097%22 Oct →
mirage13–50.1219%21 Oct →
mirage11–130.018%21 Oct →
dust213–60.1014%21 Oct →
dust213–10-0.0120%19 Oct →
ancient3–13-0.0410%19 Oct →
cache13–11-0.028%19 Oct →
dust210–13-0.0523%17 Oct →
mirage13–30.1212%17 Oct →
nuke10–13-0.0510%16 Oct →
ancient7–130.0615%16 Oct →
inferno5–13-0.0114%16 Oct →
mirage13–8-0.0310%16 Oct →
ancient13–7-0.0313%16 Oct →
dust213–100.0311%15 Oct →
mirage13–8-0.039%15 Oct →
dust26–13-0.043%15 Oct →
mirage13–70.1214%14 Oct →
dust27–130.018%14 Oct →
mirage13–7-0.026%12 Oct →
cache9–13-0.0410%12 Oct →
ancient4–13-0.077%11 Oct →
ancient16–12-0.0111%11 Oct →
dust213–8-0.0420%11 Oct →
anubis13–50.0413%11 Oct →
ancient2–13-0.0913%11 Oct →
inferno4–13-0.0511%6 Oct →
mirage6–13-0.0113%6 Oct →
inferno13–100.0513%6 Oct →
anubis13–70.0517%6 Oct →
mirage13–70.0213%2 Oct →
ancient13–4-0.057%30 Sept →
mirage13–20.0214%30 Sept →
ancient15–150.0213%29 Sept →
dust29–13-0.0016%29 Sept →
nuke10–13-0.0215%29 Sept →
dust213–50.0813%27 Sept →
anubis10–13-0.0314%27 Sept →
cache4–13-0.0117%27 Sept →
mirage11–130.0016%27 Sept →
mirage13–110.0511%24 Sept →
mirage12–120.0610%18 Sept →
cache13–9-0.0713%17 Sept →
ancient13–100.0114%12 Sept →
dust213–50.068%10 Sept →
mirage7–13-0.0315%10 Sept →
dust213–10-0.0011%8 Sept →
dust210–13-0.0416%8 Sept →
mirage11–130.0131%7 Sept →
dust210–13-0.0717%7 Sept →
ancient13–100.0116%6 Sept →
ancient13–60.0024%6 Sept →
anubis13–30.0221%6 Sept →
nuke13–10-0.0216%6 Sept →
mirage13–90.0213%6 Sept →
inferno7–13-0.0119%5 Sept →
inferno10–13-0.0211%5 Sept →
mirage13–110.0116%5 Sept →
dust213–40.0420%4 Sept →
dust213–50.089%4 Sept →
mirage10–13-0.0511%4 Sept →
mirage13–30.0614%2 Sept →
mirage8–13-0.0213%2 Sept →
ancient13–10-0.0013%1 Sept →
nuke13–90.065%1 Sept →
mirage12–120.0411%1 Sept →
dust213–50.0824%31 Aug →
ancient13–70.0415%31 Aug →
mirage9–7-0.069%31 Aug →
dust213–110.0614%31 Aug →
anubis12–120.018%28 Aug →
anubis10–130.088%28 Aug →
anubis13–20.056%28 Aug →
dust213–30.168%27 Aug →
ancient13–100.076%27 Aug →

Match data via Leetify.

Milestones

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

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