modz

modz — CS2 Stats

CA76561198038328045[U:1:78062317]Steam profile ↗✓ No bans

4,025Tracked matches55%Win rate2020Tracked since
13,925Hours in CS50Hrs last 2 wks
CSDB Rating6.6 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim92
Positioning71
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY523810Last 10052%Win rateLWLWLLLWWW

Last 10 vs previous 10: +10pp win rate · -0.06 avg rating

Player DNA

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

Aim9.2
Aggression9.2
Utility2.1
Positioning7.1
Opening Duels4.3
Clutch2.2

Sharp aimerStrong 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

donk

Plays most like donk 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

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 57% on CT to 37% 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

Aim9.2
Positioning7.1
Utility2.1
Mechanics6.4
Opening Duels4.3
Win Impact6.7

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 rating0.05−0.01
first ⅓ avg 0.06 → last ⅓ avg 0.05
Reaction time478ms−1ms
first ⅓ avg 479ms → last ⅓ avg 478ms
Headshot accuracy17.3%+2.8%
first ⅓ avg 14.5% → last ⅓ avg 17.3%

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

0.19Best rating — train 13–4
130Biggest win — vertigo
5Longest win streak
78In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 75% over 8infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB21111052%0.04
dust2A159660%0.06
ancientC125742%0.06
nukeA106460%0.04
infernoD93633%0.04
cacheC94544%0.08
trainS86275%0.09
anubisB63350%0.03
vertigoB63350%0.09
overpass42250%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

669,985Lifetime kills
1.14K/D · Top 50% of tracked players
12,795Matches
51.4%Match win rate · Top 25% of tracked players
45.0%Headshot %
25.2%Shot accuracy · Top 1% of tracked players
80,251MVPs
12,970Hours (in match)
24,667Bombs planted
15,343Bombs defused

Most-used weapons

AK-47210,574
AWP162,493
Glock-1831,134
P25012,982
Knife7,283
SSG 086,260

Lifetime map wins

24,544inferno
17,751dust2
15,226train
10,828nuke
7,436cbble
7,028vertigo
76aztec
65office

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

Faceit stats

Combat

4,062Matches
65%Win rate
1.62Avg K/D
88.7ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
25%1v2 clutch win
23Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4657%1.5920.2
Anubis4151%1.3517.9
Ancient3057%1.1518.8
Dust22654%1.4819.9
Nuke2540%1.3119.6
Overpass2060%1.3419.7
Inferno1850%1.2119.2
Vertigo560%1.1619.6

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.

17.0%Headshot accuracy
45.8%Accuracy (enemy spotted)
46.4%Spray accuracy
78.7%Counter-strafing
9.4°Preaim
474msReaction time
37.0%T opening success
57.5%CT opening success
0.34Enemies flashed / flash
2.8%Flash assists
5.70HE damage / grenade
3.20Flashes / 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 0.3439 — 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 36.9567% — 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 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0219%28 Aug
train13–80.0715%28 Aug
ancient4–13-0.0216%28 Aug
mirage13–20.0223%28 Aug
inferno1–6-0.0131%28 Aug
dust25–130.0717%27 Aug
train8–13-0.0028%26 Aug
nuke13–10-0.009%26 Aug
mirage13–50.0311%26 Aug
cache13–40.1420%26 Aug
cache3–60.1519%26 Aug
nuke12–120.0814%26 Aug
dust27–130.0212%26 Aug
mirage6–130.1023%26 Aug
dust210–130.1422%26 Aug
dust213–60.0413%26 Aug
overpass13–80.0312%25 Aug
mirage13–90.0314%25 Aug
dust26–130.0821%25 Aug
ancient13–20.1823%25 Aug
anubis13–90.0614%25 Aug
train13–40.0616%25 Aug
mirage6–13-0.0414%25 Aug
nuke13–10.0324%25 Aug
dust213–110.0319%24 Aug
ancient10–130.0813%24 Aug
inferno8–13-0.0216%24 Aug
inferno13–30.0514%24 Aug
nuke13–40.0318%24 Aug
train13–70.1817%24 Aug
mirage13–110.0115%24 Aug
dust29–20.1020%24 Aug
anubis8–13-0.029%24 Aug
ancient10–130.0117%23 Aug
inferno12–120.0614%23 Aug
cache13–80.0716%23 Aug
vertigo13–00.1721%23 Aug
mirage9–13-0.0212%23 Aug
dust211–13-0.026%23 Aug
anubis12–120.0712%23 Aug
ancient0–13-0.0111%23 Aug
overpass12–120.0518%22 Aug
mirage13–50.0711%22 Aug
cache12–120.0312%22 Aug
train13–60.0811%21 Aug
anubis13–40.049%21 Aug
mirage13–110.0713%21 Aug
ancient7–130.0712%21 Aug
overpass11–130.025%21 Aug
vertigo13–00.0821%21 Aug
nuke13–110.0910%20 Aug
inferno10–130.0523%20 Aug
dust212–12-0.0217%20 Aug
cache9–130.0819%20 Aug
ancient13–110.059%20 Aug
anubis13–10-0.039%20 Aug
train10–130.0413%20 Aug
mirage6–130.0124%20 Aug
vertigo13–20.0822%19 Aug
mirage13–60.1118%19 Aug
dust213–50.0715%19 Aug
vertigo11–130.0425%18 Aug
mirage13–50.0614%18 Aug
cache3–130.0318%18 Aug
inferno13–60.1310%18 Aug
dust213–30.1122%18 Aug
mirage12–120.0717%18 Aug
nuke13–80.0519%18 Aug
ancient13–50.0614%14 Aug
cache13–110.0313%14 Aug
mirage13–10-0.0013%14 Aug
vertigo11–130.0314%14 Aug
overpass13–60.0718%13 Aug
inferno10–13-0.0413%13 Aug
train13–40.1917%13 Aug
nuke14–160.0619%12 Aug
mirage7–130.058%11 Aug
mirage12–120.1118%11 Aug
cache13–60.1016%11 Aug
ancient13–90.0916%11 Aug
inferno13–110.0524%5 Aug
dust213–30.068%5 Aug
dust213–40.0214%31 Jul
nuke7–130.017%29 Jul
vertigo12–120.1416%28 Jul
ancient11–13-0.015%28 Jul
train13–40.0919%28 Jul
cache11–130.0817%28 Jul
mirage12–120.0311%24 Jul
ancient8–130.0512%23 Jul
anubis9–130.0315%23 Jul
mirage10–130.0318%23 Jul
nuke8–130.047%22 Jul
nuke13–80.0017%19 Jul
dust213–40.0916%19 Jul
ancient13–60.1211%19 Jul
inferno11–130.0714%17 Jul
dust213–90.0824%17 Jul
mirage13–70.0810%17 Jul
mirage13–80.0814%16 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →