Tom Lizard

Tom Lizard — CS2 Stats

DK76561197971744645[U:1:11478917]Steam profile ↗VAC banned

540Tracked matches41%Win rate2020Tracked since
3,581Hours in CS1Hrs last 2 wks
CSDB Rating5.3 DevelopingHybrid Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate43.0%44.0%44.7%1.7% short
Shot accuracy16.5%11.6%11.9%above
Kill/death ratio1.181.031.04above
Match win rate46.8%45.1%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTom LizardFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning50
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51445Last 10051%Win rateLLWLLWLWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression5.5
Utility5.6
Positioning5.0
Opening Duels1.0

Effective flashes

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 87% playstyle similarity

Most alike: opening-fight frequency, 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. 559ms 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

Aim6.9
Positioning5.0
Utility5.6
Mechanics6.8
Opening Duels1.4
Win Impact2.1

Composite 5.3/10 (Developing), 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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time568ms−63ms
first ⅓ avg 630ms → last ⅓ avg 568ms
Headshot accuracy22.5%+0.7%
first ⅓ avg 21.8% → last ⅓ avg 22.5%

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

0.13Best rating — overpass 13–3
130Biggest win — vertigo
5Longest win streak
L2Current streak
69In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 64% over 11trainWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB29151452%-0.01
dust2B179853%0.01
mirageA117464%-0.00
anubisB105550%-0.02
trainD81713%-0.02
ancientA74357%0.00
overpassC52340%0.02
cache41325%-0.01
nuke440100%0.04
jura21150%-0.04
grail21150%-0.03
vertigo110100%0.05

Across the last 100 tracked matches.

Lifetime stats

85,428Lifetime kills
1.18K/D · Top 25% of Level 5 players
4,186Matches
46.8%Match win rate · Top 50% of Level 5 players
43.0%Headshot %
16.5%Shot accuracy · Top 25% of Level 5 players
8,889MVPs
1,783Hours (in match)
3,466Bombs planted
803Bombs defused

Most-used weapons

AK-4717,852
AWP13,743
SCAR-204,473
P904,040
AUG2,710
MAC-101,846

Lifetime map wins

10,049inferno
9,008dust2
5,763vertigo
3,076nuke
1,566train
1,185cbble
275dust
236aztec

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

Faceit stats

Combat

415Matches
52%Win rate
1.06Avg K/D
ADR
37%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

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.

22.8%Headshot accuracy
29.2%Accuracy (enemy spotted)
30.6%Spray accuracy
80.4%Counter-strafing
8.7°Preaim
559msReaction time
26.5%T opening success
41.5%CT opening success
0.74Enemies flashed / flash
5.8%Flash assists
7.10HE damage / grenade
12.45Flashes / 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

    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 26.5297% — below the 40% mark we flag

Spend your practice time on Train

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache7–130.0540%28 Jun
inferno8–130.0226%28 Jun
inferno13–8-0.0833%19 Jun
cache10–130.0124%10 May
cache7–13-0.0620%29 Apr
cache13–6-0.0516%29 Apr
overpass7–13-0.0626%6 Apr
inferno13–20.0027%6 Apr
ancient13–1-0.0224%6 Apr
dust213–90.0543%6 Apr
inferno4–13-0.0932%16 Feb
inferno2–7-0.0856%16 Feb
train13–16-0.0327%27 Dec
inferno3–13-0.0620%27 Dec
nuke13–80.0319%27 Dec
dust213–100.0420%27 Dec
overpass6–130.0029%13 Dec
mirage13–50.0024%9 Aug
inferno5–13-0.0015%29 Jul
dust215–150.0315%18 Jul
anubis4–13-0.0812%15 Jul
dust22–130.0017%15 Jul
dust214–16-0.0419%14 Jul
anubis11–13-0.0419%14 Jul
dust213–60.0116%14 Jul
inferno13–100.0012%14 Jul
ancient9–13-0.069%12 Jul
anubis9–13-0.0722%12 Jul
vertigo13–00.0511%12 Jul
mirage5–50.0132%12 Jul
dust25–13-0.0621%10 Jul
overpass10–130.037%10 Jul
mirage12–40.0110%10 Jul
anubis12–12-0.0518%6 Jul
inferno13–6-0.0315%6 Jul
dust213–6-0.0115%6 Jul
ancient13–80.0419%6 Jul
inferno13–9-0.0219%5 Jul
overpass13–30.1316%5 Jul
train9–13-0.0119%5 Jul
mirage11–13-0.0413%3 Jul
train8–13-0.0711%1 Jul
mirage13–30.048%1 Jul
inferno13–110.0233%1 Jul
anubis13–50.0424%26 Jun
train12–120.0215%26 Jun
inferno4–40.0127%2 Jun
mirage13–20.0123%31 May
jura10–13-0.0715%31 May
grail12–12-0.0510%31 May
inferno13–80.0316%30 May
inferno16–14-0.047%27 May
nuke13–30.0423%22 May
inferno8–13-0.0317%16 May
dust213–10.1224%15 May
inferno9–130.0210%14 May
dust210–130.0117%14 May
anubis13–4-0.0211%13 May
overpass13–60.027%13 May
inferno10–13-0.1114%12 May
ancient3–13-0.0317%12 May
anubis13–5-0.0517%12 May
dust212–16-0.0326%12 May
ancient10–13-0.0319%12 May
inferno11–13-0.025%11 May
train13–10-0.079%11 May
anubis13–60.0511%11 May
train7–110.0830%11 May
inferno13–40.0219%11 May
jura13–10-0.0120%11 May
mirage4–13-0.0017%11 May
grail13–70.0023%11 May
dust29–130.0718%11 May
ancient11–50.0422%10 May
nuke13–10-0.0148%10 May
inferno13–11-0.0127%6 May
inferno11–130.0323%6 May
inferno13–60.0223%6 May
mirage13–4-0.0418%5 May
dust213–100.0116%2 May
inferno13–90.0124%2 May
dust213–70.0128%29 Apr
train10–13-0.0232%29 Apr
dust211–13-0.0323%28 Apr
train10–13-0.0426%28 Apr
mirage11–13-0.0531%28 Apr
ancient13–40.0717%28 Apr
mirage12–10.0317%28 Apr
dust213–8-0.0422%28 Apr
inferno3–12-0.0125%28 Apr
inferno1–7-0.030%28 Apr
anubis8–130.0620%28 Apr
inferno13–110.0119%25 Apr
inferno13–40.0925%25 Apr
dust213–100.0915%8 Apr
nuke13–50.1018%8 Apr
inferno14–16-0.0124%8 Apr
anubis13–11-0.0813%8 Apr
mirage15–15-0.0213%8 Apr
inferno16–120.0221%7 Apr

Match data via Leetify.

Recent teammates

Milestones

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