tomwaaler — CS2 Stats

76561199154780015[U:1:1194514287]✓ No bans

2,125Tracked matches53%Win rate2021Tracked since
CSDB Rating6.6 SolidAggressive Rifler
FaceitLevel 10 · 2,111 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGtomwaalerFACEITLevel 10 · 2,111 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim84
Positioning66
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY5149Last 10051%Win rateWLLWLWLWWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.4
Aggression10.0
Utility3.0
Positioning6.6
Opening Duels5.5
Clutch4.0

Strong CT-side opener

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

sh1ro

Plays most like sh1ro 87% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower 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

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 66% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim8.4
Positioning6.6
Utility3.0
Mechanics7.7
Opening Duels5.5
Win Impact6.1

Composite 6.6/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time584ms−7ms
first ⅓ avg 591ms → last ⅓ avg 584ms
Headshot accuracy23.4%−2.4%
first ⅓ avg 25.8% → last ⅓ avg 23.4%

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

0.19Best rating — cache_b 13–5
131Biggest win — mirage
5Longest win streak
107In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA36221461%0.03
dust2C167944%0.01
vertigoB126650%0.01
infernoD71614%0.02
anubisD62433%0.01
cacheS64267%0.05
ancientD62433%-0.00
nukeA53260%0.01
overpass21150%0.03
train21150%0.06
cache_b220100%0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,844Matches
52%Win rate
1.19Avg K/D
77.4ADR
50%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
17Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage24254%1.2417.2
Inferno9158%1.1115.9
Dust27351%1.1316.2
Anubis6755%1.1116.7
Ancient4238%0.9314.0
Nuke3735%1.0316.2
Overpass3642%1.2217.8
Vertigo922%0.7814.2

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.

23.7%Headshot accuracy
35.7%Accuracy (enemy spotted)
37.6%Spray accuracy
84.8%Counter-strafing
8.4°Preaim
585msReaction time
38.2%T opening success
65.9%CT opening success
0.41Enemies flashed / flash
5.6%Flash assists
4.70HE damage / grenade
5.19Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.405 — below the 0.5 mark we flag

    Grenade Lineups
  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 38.2034% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–80.059%28 Aug
anubis5–13-0.0739%24 Aug
mirage5–13-0.0313%24 Aug
mirage13–8-0.0233%17 Aug
dust24–13-0.0541%5 Aug
overpass13–110.0140%4 Aug
mirage14–160.0522%4 Aug
mirage13–9-0.0125%4 Aug
mirage13–11-0.0123%3 Aug
mirage10–130.0627%31 Jul
mirage13–10.0420%25 Jul
mirage3–130.0315%24 Jul
mirage7–00.0619%24 Jul
mirage13–70.0820%22 Jul
cache13–60.0526%22 Jul
ancient6–13-0.0814%22 Jul
nuke13–40.0030%21 Jul
dust28–130.0426%21 Jul
dust27–130.0435%21 Jul
dust216–12-0.0119%20 Jul
mirage13–30.1730%20 Jul
dust211–13-0.0321%17 Jul
ancient9–13-0.0228%17 Jul
anubis3–13-0.0732%17 Jul
mirage13–80.0118%17 Jul
vertigo9–13-0.0712%16 Jul
mirage13–11-0.0519%16 Jul
anubis13–40.0325%16 Jul
vertigo11–13-0.048%16 Jul
vertigo13–110.0926%1 Jul
train13–110.1321%1 Jul
dust213–50.0410%1 Jul
inferno8–13-0.0027%1 Jul
vertigo10–13-0.0120%1 Jul
train4–13-0.0248%1 Jul
dust22–13-0.0528%30 Jun
mirage13–5-0.0233%22 Jun
ancient6–13-0.0333%22 Jun
mirage13–50.0416%22 Jun
vertigo7–13-0.0717%22 Jun
mirage13–50.0819%22 Jun
cache13–70.0626%22 Jun
mirage11–130.0731%22 Jun
ancient13–90.0136%22 Jun
dust210–13-0.0132%21 Jun
cache11–130.0952%21 Jun
dust213–80.0336%21 Jun
dust213–60.0632%21 Jun
anubis13–100.0734%21 Jun
mirage9–130.0618%21 Jun
inferno9–13-0.0635%21 Jun
vertigo5–13-0.0324%21 Jun
nuke2–13-0.0731%15 Jun
dust27–130.0725%15 Jun
mirage13–50.1329%15 Jun
mirage13–80.0233%9 Jun
anubis3–130.0915%9 Jun
ancient6–130.0130%8 Jun
inferno8–130.0229%8 Jun
dust213–110.0127%6 Jun
mirage9–13-0.0118%31 May
vertigo13–50.0625%31 May
mirage13–80.0525%30 May
cache16–130.0225%30 May
nuke8–130.0719%28 May
inferno4–130.0445%28 May
nuke13–90.0213%24 May
cache8–130.0520%21 May
overpass6–130.0522%21 May
dust213–110.0521%20 May
mirage7–130.0233%18 May
dust216–120.0227%18 May
mirage13–90.0121%17 May
vertigo13–8-0.0324%17 May
mirage13–110.0332%16 May
nuke16–130.0435%16 May
dust216–19-0.0425%16 May
mirage13–30.0833%16 May
mirage13–100.0022%15 May
mirage13–16-0.0014%15 May
vertigo13–80.0725%7 May
cache13–90.0221%7 May
mirage13–110.0130%6 May
vertigo13–110.0830%26 Apr
inferno12–160.0748%26 Apr
ancient13–20.0934%21 Apr
cache_b13–90.1235%21 Apr
mirage12–20.047%21 Apr
inferno13–80.0127%21 Apr
cache_b13–50.1932%21 Apr
mirage11–130.0628%16 Apr
mirage6–13-0.0218%15 Apr
vertigo6–130.0919%15 Apr
dust210–130.0112%12 Apr
inferno6–130.0530%12 Apr
mirage13–60.0627%10 Apr
mirage6–13-0.0224%8 Apr
mirage9–130.0318%8 Apr
anubis11–13-0.0122%8 Apr
mirage7–130.0036%7 Apr

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →