DimesBrick — CS2 Stats

76561198029875770[U:1:69610042]

517Tracked matches43%Win rate2024Tracked since
687Hours in CS
CSDB Rating2.3 Learning
FaceitLevel 2 · 925 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 medianLevel 3 medianvs Level 3
Headshot rate37.8%42.1%42.1%4.3% short
Shot accuracy0.1%12.9%12.1%12.0% short
Kill/death ratio0.681.000.990.32 short
Match win rate42.7%42.9%43.9%1.2% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDimesBrickFACEITLevel 2 · 925 ELOSTANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim15
Positioning51
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY41509Last 10041%Win rateLLWWLLWWLW

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

Player DNA

Aim1.5
Aggression6.3
Utility4.5
Positioning5.1
Opening Duels2.0
Clutch4.0

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 45% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.5
Positioning5.1
Utility4.5
Mechanics0.0
Opening Duels2.0
Win Impact2.6

Composite 2.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time635ms−46ms
first ⅓ avg 681ms → last ⅓ avg 635ms
Headshot accuracy11.9%−0.5%
first ⅓ avg 12.4% → last ⅓ avg 11.9%

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

0.21Best rating — poseidon 9–1
132Biggest win — anubis
3Longest win streak
L2Current streak
38In matches decided by ≤2 rounds
13Overtime games

Map breakdown

poseidonBest map · 100% over 5vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
anubisC1661038%-0.03
ancientD1431121%-0.04
dust2C125742%-0.04
infernoA127558%-0.01
mirageD82625%-0.02
cacheC52340%-0.03
vertigoD51420%-0.02
poseidonS550100%0.07
officeD51420%0.00
italy43175%0.01
alpine32167%-0.03
warden32167%-0.02
train220100%0.02
overpass2020%-0.04
nuke2020%-0.08
shelter1010%-0.02
sanctum1010%0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,682Lifetime kills
0.68K/D
1,446Matches
42.7%Match win rate
37.8%Headshot %
0.1%Shot accuracy
2,994MVPs
687Hours (in match)
1,411Bombs planted
677Bombs defused

Most-used weapons

Lifetime map wins

2,217dust2
1,849inferno
699train
533nuke
296vertigo
223office
116italy
8ar_shoots

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

Faceit stats

Combat

197Matches
49%Win rate
0.78Avg K/D
65.6ADR
33%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient5056%0.6911.5
Anubis4245%0.8713.0
Dust23057%0.9113.0
Mirage2635%0.6710.9
Inferno2544%0.8215.2
Cache1553%0.649.9
Overpass540%0.6212.0
Nuke367%1.1012.0

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.

11.8%Headshot accuracy
30.5%Accuracy (enemy spotted)
32.7%Spray accuracy
45.2%Counter-strafing
13.3°Preaim
631msReaction time
31.7%T opening success
44.6%CT opening success
0.51Enemies flashed / flash
7.9%Flash assists
11.30HE damage / grenade
5.17Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2868° — above the 12° mark we flag

    Aim Training
  2. 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 11.7756% — below the 15% mark we flag

    Aim Training
Spend your practice time on Vertigo

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
shelter7–13-0.0214%16 Jul
dust20–13-0.0620%30 Jun
cache13–9-0.0111%29 Jun
dust213–30.0411%26 Jun
cache10–13-0.0814%23 Jun
ancient16–19-0.0410%15 Jun
anubis13–50.0617%11 Jun
italy13–8-0.0510%10 Jun
ancient6–13-0.0214%10 Jun
inferno13–40.1013%10 Jun
mirage11–13-0.058%7 Jun
dust213–7-0.046%5 Jun
inferno4–13-0.1112%4 Jun
cache12–12-0.046%4 Jun
vertigo6–130.1315%4 Jun
vertigo13–80.015%4 Jun
poseidon9–10.093%29 May
anubis12–12-0.0010%27 May
anubis11–13-0.0313%27 May
inferno6–13-0.039%24 May
inferno16–120.056%24 May
vertigo11–13-0.0112%23 May
dust29–13-0.0514%21 May
office13–10-0.0315%14 May
office2–130.036%13 May
train13–80.0215%12 May
office8–130.1014%12 May
italy13–70.0812%12 May
poseidon9–6-0.0414%6 May
inferno9–40.0215%6 May
cache9–13-0.0523%6 May
ancient7–13-0.0613%6 May
cache13–100.0112%6 May
vertigo5–9-0.2121%30 Apr
alpine13–7-0.0324%30 Apr
dust213–80.0224%29 Apr
anubis8–13-0.069%29 Apr
mirage2–110.057%25 Apr
train13–60.0219%25 Apr
inferno9–13-0.0210%24 Apr
mirage13–40.0415%23 Apr
ancient8–30.0617%21 Apr
anubis13–10-0.0519%21 Apr
dust215–15-0.056%18 Apr
dust213–100.008%17 Apr
ancient7–13-0.0315%16 Apr
mirage11–13-0.029%15 Apr
inferno13–10-0.045%15 Apr
anubis15–15-0.0413%14 Apr
ancient13–16-0.0813%12 Apr
inferno13–3-0.106%12 Apr
ancient13–5-0.077%12 Apr
ancient7–13-0.0611%11 Apr
overpass6–13-0.0711%9 Apr
dust213–10-0.0411%9 Apr
ancient10–13-0.0115%9 Apr
anubis13–6-0.075%9 Apr
warden4–13-0.0210%8 Apr
ancient11–130.0513%8 Apr
dust28–13-0.068%8 Apr
office8–13-0.1013%6 Apr
nuke7–13-0.099%6 Apr
inferno13–9-0.078%6 Apr
anubis13–20.1113%6 Apr
anubis15–15-0.0112%2 Apr
inferno8–130.0316%2 Apr
ancient13–11-0.055%31 Mar
dust27–13-0.0410%31 Mar
italy10–13-0.028%25 Mar
italy13–100.0513%25 Mar
office4–130.0312%25 Mar
warden13–40.0114%25 Mar
ancient7–13-0.099%7 Mar
anubis13–5-0.0312%6 Mar
sanctum6–90.0111%22 Feb
vertigo4–8-0.039%12 Feb
nuke2–13-0.0719%12 Feb
ancient15–15-0.0316%11 Feb
poseidon9–7-0.0610%11 Feb
poseidon9–50.1422%11 Feb
poseidon9–10.215%11 Feb
anubis15–15-0.087%10 Feb
anubis22–200.008%9 Feb
inferno13–80.0911%9 Feb
anubis12–16-0.0715%8 Feb
anubis15–15-0.037%7 Feb
mirage5–13-0.0121%5 Feb
alpine10–13-0.0313%4 Feb
alpine13–10-0.0515%4 Feb
warden13–7-0.0420%4 Feb
dust27–13-0.1312%4 Feb
anubis9–13-0.0711%4 Feb
dust210–13-0.0412%3 Feb
inferno11–13-0.0118%3 Feb
mirage13–5-0.0413%3 Feb
ancient16–13-0.0612%3 Feb
overpass15–15-0.0014%2 Feb
mirage11–13-0.095%2 Feb
anubis11–13-0.0510%2 Feb
mirage1–13-0.0618%2 Feb

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 →