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Mr. Tom — CS2 Stats

76561198144474106[U:1:184208378]

1,042Tracked matches40%Win rate2020Tracked since
CSDB Rating4.3 Developing
Premier CS Rating22,322Top 50% of 819 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)
CSDB Leaderboard#4881 of 15702 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGMr. TomFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,322 · Pink bandcsdb.gg/stats

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Performance scores

Aim59
Positioning30
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLWLLWWLLWW

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating

Player DNA

Aim5.9
Aggression2.4
Utility6.1
Positioning3.0
Opening Duels0.0
Clutch2.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 78% 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

T-side openings. Opening success drops from 32% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.9
Positioning3.0
Utility6.1
Mechanics5.2
Opening Duels0.2
Win Impact1.7

Composite 4.3/10 (Developing), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time536ms−48ms
first ⅓ avg 583ms → last ⅓ avg 536ms
Headshot accuracy15.3%+1.4%
first ⅓ avg 13.9% → last ⅓ avg 15.3%

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.

Highlights

0.30Best rating — inferno 3–0
13–0Biggest win — ancient
4Longest win streak
7–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 60% over 20dust2Weakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
nukeA2012–860%-0.01
ancientA1710–759%-0.00
cacheD155–1033%-0.03
dust2D144–1029%-0.03
infernoD124–833%-0.01
anubisC125–742%-0.03
mirageC104–640%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

301Matches
50%Win rate
1.09Avg K/D
82.3ADR
42%Headshot %

Clutches & streaks

31%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient5056%1.0415.8
Vertigo3863%0.9515.1
Anubis3751%0.9915.7
Nuke3453%1.0514.1
Mirage2536%0.9114.8
Inferno617%0.7614.5
Dust2250%1.4818.0
Overpass10%0.609.0

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.

13.9%Headshot accuracy
28.5%Accuracy (enemy spotted)
35.3%Spray accuracy
73.5%Counter-strafing
8.5°Preaim
529msReaction time
16.2%T opening success
31.9%CT opening success
0.64Enemies flashed / flash
9.1%Flash assists
8.08HE damage / grenade
6.02Flashes / 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 13.9402% — 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 16.1777% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0421%27 Aug →
inferno3–00.3043%27 Aug →
nuke10–13-0.0610%27 Aug →
inferno10–13-0.037%27 Aug →
cache10–3-0.0424%27 Aug →
anubis13–11-0.056%27 Aug →
cache3–13-0.0511%25 Aug →
anubis8–13-0.0613%25 Aug →
nuke13–10.0415%25 Aug →
ancient13–7-0.0315%25 Aug →
inferno7–13-0.0617%25 Aug →
inferno6–13-0.0411%25 Aug →
ancient13–11-0.0117%24 Aug →
inferno12–16-0.0913%21 Aug →
ancient11–13-0.099%19 Aug →
nuke13–3-0.0111%19 Aug →
cache13–6-0.0019%18 Aug →
inferno2–13-0.0824%18 Aug →
mirage6–13-0.0411%18 Aug →
nuke13–2-0.0416%17 Aug →
nuke13–9-0.0214%17 Aug →
ancient13–80.0624%16 Aug →
nuke3–13-0.080%16 Aug →
dust28–13-0.1010%14 Aug →
cache7–13-0.067%13 Aug →
nuke3–13-0.1022%13 Aug →
anubis13–8-0.009%13 Aug →
anubis9–13-0.0520%13 Aug →
mirage8–13-0.1114%13 Aug →
mirage5–130.0017%13 Aug →
nuke16–140.0218%10 Aug →
dust21–13-0.0817%10 Aug →
dust213–9-0.0118%7 Aug →
nuke9–00.1319%7 Aug →
ancient13–00.0717%7 Aug →
cache5–13-0.0711%6 Aug →
anubis10–130.0210%4 Aug →
nuke13–9-0.0515%4 Aug →
anubis13–50.047%30 Jul →
inferno13–80.0215%30 Jul →
inferno10–13-0.0116%29 Jul →
ancient13–11-0.037%29 Jul →
dust213–9-0.0117%28 Jul →
nuke8–13-0.0122%27 Jul →
ancient11–13-0.0220%27 Jul →
inferno6–13-0.0813%27 Jul →
nuke13–40.0319%27 Jul →
inferno13–8-0.0132%27 Jul →
nuke7–13-0.0732%25 Jul →
dust23–130.0436%25 Jul →
dust213–90.0114%24 Jul →
cache6–130.0525%24 Jul →
anubis3–13-0.0817%24 Jul →
dust25–13-0.0521%24 Jul →
mirage13–7-0.0229%24 Jul →
nuke13–3-0.0712%24 Jul →
nuke6–13-0.0928%24 Jul →
ancient13–30.0329%24 Jul →
dust26–13-0.028%24 Jul →
dust24–13-0.1225%24 Jul →
cache4–13-0.0612%23 Jul →
nuke13–10.1125%23 Jul →
cache16–14-0.0316%23 Jul →
ancient10–13-0.0414%23 Jul →
anubis13–11-0.0215%23 Jul →
dust213–100.0126%18 Jul →
mirage11–13-0.0025%18 Jul →
cache6–13-0.029%18 Jul →
dust210–130.0116%17 Jul →
mirage5–0-0.040%17 Jul →
mirage0–6-0.070%17 Jul →
anubis11–13-0.0514%17 Jul →
dust27–13-0.0021%17 Jul →
ancient3–13-0.045%17 Jul →
dust26–13-0.0512%17 Jul →
cache13–60.0214%17 Jul →
inferno8–13-0.0616%15 Jul →
anubis7–130.0012%15 Jul →
ancient7–130.0014%14 Jul →
cache13–7-0.0624%14 Jul →
mirage4–20.020%14 Jul →
mirage13–10-0.0914%14 Jul →
mirage8–13-0.0211%14 Jul →
anubis15–15-0.079%14 Jul →
nuke13–40.0121%14 Jul →
cache8–13-0.0324%14 Jul →
nuke13–10-0.0022%14 Jul →
ancient13–5-0.0017%13 Jul →
ancient13–4-0.0027%13 Jul →
ancient13–10.1313%13 Jul →
cache12–12-0.0320%7 Jul →
cache2–13-0.1020%7 Jul →
ancient13–5-0.0414%3 Jul →
nuke5–130.0117%3 Jul →
dust25–13-0.109%3 Jul →
nuke9–13-0.028%3 Jul →
anubis13–9-0.0110%1 Jul →
inferno13–7-0.0319%1 Jul →
ancient6–13-0.0313%1 Jul →
ancient10–13-0.0013%1 Jul →

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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