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macbook air m4 2025 — CS2 Stats

76561198327525170[U:1:367259442]

854Tracked matches43%Win rate2022Tracked since
1,638Hours in CS2Hrs last 2 wks
CSDB Rating4.7 DevelopingAggressive Rifler
WingmanSilver IV
Ladder ranks via Leetify

Performance scores

Aim75
Positioning47
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateWWLTLWLLWL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression6.7
Utility3.1
Positioning4.7
Opening Duels2.4
Clutch2.2

Limited 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 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

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

Reaction time. 584ms 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

Aim7.5
Positioning4.7
Utility3.1
Mechanics7.3
Opening Duels2.4
Win Impact2.8

Composite 4.7/10 (Developing), 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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time578ms−47ms
first ⅓ avg 625ms → last ⅓ avg 578ms
Headshot accuracy14.6%−2.7%
first ⅓ avg 17.4% → last ⅓ avg 14.6%

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

0.17Best rating — dust2 13–3
13–1Biggest win — inferno
5Longest win streak
W2Current streak
9–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 62% over 13ancientWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC229–1341%0.00
mirageA2011–955%0.00
dust2B179–853%0.03
ancientC145–936%0.02
anubisA138–562%-0.03
nukeC94–544%-0.04
vertigo—11–0100%0.12
cache—10–10%0.06
poseidon—10–10%-0.19
office—10–10%-0.08
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,540Lifetime kills
0.99K/D
2,971Matches
43.4%Match win rate
43.1%Headshot %
13.0%Shot accuracy · Top 50% of tracked players
9,471MVPs
949Hours (in match)
1,416Bombs planted
408Bombs defused

Most-used weapons

AK-4712,393
AWP8,983
M4A4 / M4A1-S6,682
Desert Eagle5,628
P2000 / USP-S3,321
Glock-182,246
SSG 081,265
FAMAS1,016
XM1014925
MP7885

Lifetime map wins

3,866dust2
3,253inferno
1,968office
1,098nuke
849train
693cbble
324vertigo
240lake

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

Faceit stats

Combat

73Matches
49%Win rate
1.13Avg K/D
84.6ADR
49%Headshot %

Clutches & streaks

31%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1638%1.2618.6
Mirage1560%1.2014.7
Ancient1457%1.0015.7
Anubis967%0.9517.1
Dust2944%1.2719.6
Nuke729%1.0416.9
Overpass250%1.1023.0
Train10%1.0015.0

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.

14.8%Headshot accuracy
37.3%Accuracy (enemy spotted)
40.0%Spray accuracy
82.8%Counter-strafing
9.2°Preaim
584msReaction time
36.5%T opening success
43.0%CT opening success
0.35Enemies flashed / flash
5.8%Flash assists
8.25HE damage / grenade
2.01Flashes / 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. 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 14.7589% — below the 15% mark we flag

    Aim Training →
  2. 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 0.346 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 36.5202% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–20.0914%30 Aug →
vertigo9–00.1231%27 Aug →
inferno3–9-0.130%27 Aug →
inferno8–80.067%27 Aug →
cache8–130.0616%26 Aug →
anubis13–9-0.0516%26 Aug →
poseidon1–9-0.1913%13 Aug →
inferno7–9-0.0714%13 Aug →
ancient13–110.0115%28 Jul →
ancient5–13-0.0411%27 Jul →
inferno14–16-0.0121%27 Jul →
anubis10–13-0.0114%27 Jul →
inferno14–16-0.0710%26 Jul →
anubis13–110.0221%26 Jul →
mirage8–13-0.0912%21 Jul →
ancient11–13-0.0318%21 Jul →
mirage16–12-0.0515%21 Jul →
inferno13–5-0.0017%11 Jul →
ancient6–13-0.0428%9 Jul →
office7–13-0.0819%8 Jul →
mirage8–130.0625%8 Jul →
nuke7–13-0.0517%24 Jun →
mirage13–110.1217%24 Jun →
mirage13–8-0.0311%19 Jun →
dust213–50.0310%23 May →
mirage13–50.004%23 May →
inferno9–13-0.0211%23 May →
nuke14–16-0.0712%14 May →
inferno13–50.1512%14 May →
inferno11–13-0.110%9 May →
nuke9–0-0.0617%9 May →
ancient13–160.023%9 May →
mirage13–6-0.0233%8 May →
dust27–13-0.0217%8 May →
ancient10–130.0113%8 May →
mirage7–130.0517%19 Apr →
mirage6–13-0.0319%17 Apr →
mirage13–80.0011%17 Apr →
inferno8–8-0.048%17 Apr →
nuke13–9-0.0415%17 Apr →
anubis13–8-0.1111%16 Apr →
ancient13–11-0.0314%16 Apr →
inferno14–16-0.0220%16 Apr →
dust213–50.0812%12 Apr →
dust213–100.0019%12 Apr →
overpass16–13-0.0316%12 Apr →
dust213–30.1724%12 Apr →
anubis13–9-0.023%12 Apr →
anubis6–13-0.028%11 Apr →
anubis13–50.0315%11 Apr →
inferno13–70.0316%11 Apr →
mirage13–40.028%11 Apr →
dust29–130.0025%11 Apr →
dust213–100.0517%9 Apr →
anubis9–130.019%9 Apr →
anubis13–10-0.0715%9 Apr →
ancient15–150.0217%8 Apr →
dust210–13-0.0112%8 Apr →
nuke10–13-0.0732%8 Apr →
nuke13–70.0524%8 Apr →
inferno10–13-0.0221%5 Apr →
dust25–80.0128%5 Apr →
mirage13–110.007%5 Apr →
ancient13–80.078%5 Apr →
dust25–13-0.1217%3 Apr →
dust213–160.0321%3 Apr →
mirage11–13-0.040%31 Mar →
inferno13–50.0518%29 Mar →
mirage10–13-0.0121%29 Mar →
dust213–11-0.0112%29 Mar →
inferno13–60.0221%29 Mar →
mirage10–13-0.0119%27 Mar →
anubis6–13-0.0515%27 Mar →
mirage13–6-0.0021%26 Mar →
nuke13–11-0.0313%26 Mar →
anubis6–13-0.084%26 Mar →
ancient15–15-0.029%23 Mar →
inferno13–10.0431%23 Mar →
nuke6–130.0121%23 Mar →
mirage10–13-0.0323%21 Mar →
ancient13–50.1514%21 Mar →
anubis13–9-0.025%21 Mar →
dust23–130.0243%21 Mar →
inferno3–13-0.0315%21 Mar →
inferno13–70.1213%19 Mar →
dust213–80.0518%19 Mar →
mirage13–40.158%19 Mar →
anubis16–140.0123%19 Mar →
mirage15–15-0.0113%18 Mar →
ancient13–30.0619%18 Mar →
inferno5–13-0.006%18 Mar →
dust213–80.0217%18 Mar →
mirage13–110.0120%18 Mar →
nuke14–16-0.0617%17 Mar →
dust213–10.1334%17 Mar →
inferno8–13-0.0018%17 Mar →
dust215–150.0713%16 Mar →
ancient8–130.0825%16 Mar →
inferno13–9-0.009%16 Mar →
ancient15–150.0416%14 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 →

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