matt — CS2 Stats

76561199121101787[U:1:1160836059]

576Tracked matches56%Win rate2023Tracked since
469Hours in CS
CSDB Rating6.1 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim76
Positioning56
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY474112Last 10047%Win rateTWWLLWWTLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim7.6
Aggression6.6
Utility2.1
Positioning5.6
Opening Duels5.2

Strong CT-side openerLimited utility dependence

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; 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. 64% 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 64% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim7.6
Positioning5.6
Utility2.1
Mechanics7.8
Opening Duels5.2
Win Impact7.0

Composite 6.1/10 (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 rating0.02−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time605ms−57ms
first ⅓ avg 662ms → last ⅓ avg 605ms
Headshot accuracy22.5%−3.7%
first ⅓ avg 26.1% → 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

0.18Best rating — nuke 13–6
131Biggest win — cache
3Longest win streak
16In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 71% over 7infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
vertigoB168850%0.05
ancientC145936%0.03
infernoD124833%0.02
nukeB105550%0.04
dust2B105550%0.03
anubisC104640%0.01
cacheA85363%0.04
mirageS75271%0.02
overpassC73443%0.03
trainA53260%0.07
warden1010%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,470Lifetime kills
1.23K/D · Top 25% of tracked players
1,162Matches
49.6%Match win rate · Top 25% of tracked players
55.8%Headshot % · Top 25% of tracked players
0.2%Shot accuracy
3,295MVPs
469Hours (in match)
1,753Bombs planted
384Bombs defused

Most-used weapons

Lifetime map wins

2,066dust2
1,937nuke
1,252inferno
973vertigo
761train
40office
11italy
7cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.1%Headshot accuracy
35.7%Accuracy (enemy spotted)
35.4%Spray accuracy
84.9%Counter-strafing
10.4°Preaim
597msReaction time
38.1%T opening success
63.6%CT opening success
0.34Enemies flashed / flash
3.8%Flash assists
4.68HE damage / grenade
2.25Flashes / 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 0.3444 — 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 38.1136% — 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 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.0233%29 Aug
dust213–3-0.0211%29 Aug
cache13–10.0749%29 Aug
cache11–130.0523%26 Aug
inferno6–13-0.0621%23 Aug
ancient13–2-0.0115%23 Aug
mirage13–7-0.0515%19 Aug
train12–120.0825%14 Aug
train10–13-0.0220%13 Aug
anubis8–13-0.0016%10 Aug
ancient12–12-0.0118%10 Aug
anubis10–13-0.0112%9 Aug
anubis3–13-0.0019%9 Aug
inferno5–9-0.0240%5 Aug
ancient13–40.0730%5 Aug
ancient6–70.0125%5 Aug
ancient3–130.0542%2 Aug
nuke13–3-0.0522%31 Jul
train13–50.1125%31 Jul
vertigo13–40.0638%30 Jul
vertigo9–130.1223%30 Jul
dust213–50.0415%30 Jul
anubis9–13-0.0718%24 Jul
anubis10–13-0.0118%24 Jul
anubis13–80.0816%21 Jul
overpass13–70.0725%18 Jul
cache13–60.0129%17 Jul
vertigo12–12-0.0015%17 Jul
mirage13–5-0.039%17 Jul
inferno12–120.0621%15 Jul
nuke13–10-0.0426%8 Jul
mirage11–130.0714%8 Jul
dust28–130.0612%7 Jul
dust213–11-0.0012%2 Jul
cache7–130.0025%1 Jul
inferno11–130.0734%30 Jun
dust210–130.0029%30 Jun
dust213–40.0223%26 Jun
dust210–13-0.0025%25 Jun
inferno8–13-0.0317%24 Jun
nuke13–50.1320%23 Jun
dust27–130.0127%21 Jun
nuke8–130.0224%20 Jun
vertigo4–13-0.0628%18 Jun
vertigo13–50.0130%18 Jun
overpass12–120.0618%15 Jun
dust213–20.0925%14 Jun
ancient13–3-0.0220%14 Jun
cache13–60.0825%14 Jun
inferno5–13-0.0536%7 Jun
overpass13–40.0029%6 Jun
cache13–10.0614%6 Jun
cache5–13-0.0124%4 Jun
vertigo13–5-0.0030%4 Jun
vertigo13–20.0720%4 Jun
vertigo13–70.0422%28 May
ancient12–120.0422%28 May
overpass13–60.0831%24 May
vertigo12–20.1342%24 May
cache13–80.0218%24 May
vertigo12–120.0718%23 May
ancient7–110.0625%23 May
vertigo13–10.0324%20 May
mirage13–80.0725%19 May
vertigo8–130.0940%19 May
ancient0–7-0.0914%18 May
train13–80.1428%18 May
anubis13–3-0.0014%18 May
ancient13–20.0620%10 May
dust22–110.0612%9 May
ancient8–130.0523%28 Apr
overpass8–13-0.0614%26 Apr
inferno13–20.1152%24 Apr
mirage13–100.0818%21 Apr
overpass12–12-0.0122%20 Apr
inferno13–100.0120%19 Apr
inferno13–90.1533%13 Apr
ancient12–120.0830%13 Apr
nuke13–60.1842%12 Apr
vertigo2–130.0024%12 Apr
vertigo12–120.0332%12 Apr
nuke13–70.0222%11 Apr
overpass9–130.0533%10 Apr
vertigo13–40.1131%10 Apr
nuke12–120.0616%10 Apr
inferno11–130.0527%5 Apr
vertigo8–130.0317%4 Apr
ancient13–50.1521%4 Apr
inferno2–5-0.0446%4 Apr
train13–40.0426%4 Apr
nuke11–13-0.0134%4 Apr
nuke7–130.0733%3 Apr
anubis13–30.0731%3 Apr
anubis13–50.0728%3 Apr
anubis3–130.0117%3 Apr
mirage13–20.0332%29 Mar
mirage2–13-0.0229%29 Mar
warden6–130.0215%27 Mar
inferno13–100.0131%27 Mar
ancient8–13-0.0117%23 Mar

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 →