Yusuf Stalone

Yusuf Stalone — CS2 Stats

FI76561198271355652[U:1:311089924]Steam profile ↗✓ No bans

277Tracked matches48%Win rate2020Tracked since
1,075Hours in CS
CSDB Rating5.0 DevelopingSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,448 -2,481 21 Jun – 24 Sept · 35 days played
15,44819,535peak 19,53521 Jun24 Sept
19,535Peak Premier in tracked matches
37Days played since 2026-06-21

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate40.4%42.7%43.8%3.4% short
Shot accuracy15.4%11.2%12.0%above
Kill/death ratio1.020.991.02meets
Match win rate48.9%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGYusuf StaloneFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning32
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLLLLWLWWLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +1.4pp headshot accuracy · −13ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 24%
  • Avg reaction 584ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 616ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 622ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim7.1
Utility4.3
Positioning3.2
Opening Duels0.0
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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ropz

Plays most like ropz 88% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Reaction time. 608ms 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

Aim7.1
Positioning3.2
Utility4.3
Mechanics7.7
Opening Duels0.0
Win Impact4.4

Composite 5.0/10 (Developing), 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 rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time605ms−15ms
first ⅓ avg 620ms → last ⅓ avg 605ms
Headshot accuracy20.4%+3.5%
first ⅓ avg 17.0% → last ⅓ avg 20.4%

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.

Personal bests

0.11Best match rating · 13–11 · inferno, 20 Aug →
41%Best headshot accuracy · 13–9 · mirage, 27 Jun →
375msFastest reaction time · 3–13 · dust2, 5 Jul →
13–1Biggest win · dust2, 1 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
10–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 57% over 23anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3014–1647%-0.01
mirageA2313–1057%-0.03
infernoC135–838%-0.03
nukeC104–640%-0.03
ancientA95–456%-0.03
cacheC83–538%-0.02
anubisD62–433%-0.02
overpass—11–0100%-0.10

Across the last 100 tracked matches.

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

Lifetime stats

45,067Lifetime kills
1.02K/D · Top 50% of Level 4 players
2,555Matches
48.9%Match win rate · Top 25% of Level 4 players
40.4%Headshot %
15.4%Shot accuracy · Top 25% of Level 4 players
5,391MVPs
1,075Hours (in match)
2,953Bombs planted
463Bombs defused

Most-used weapons

AK-4712,776
AWP5,972
SSG 081,531
MP91,202
MAC-101,021
P901,011

Lifetime map wins

7,886dust2
5,079inferno
1,023nuke
383train
289cbble
271vertigo
247lake
140office

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

Faceit stats

Combat

71Matches
51%Win rate
1.01Avg K/D
61.5ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2540%0.6310.6
Inferno540%0.7212.8
Nuke20%0.5412.0
Train10%0.7213.0
Mirage10%0.386.0
Overpass1100%1.6016.0
Anubis1100%0.8214.0

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.

20.7%Headshot accuracy
32.9%Accuracy (enemy spotted)
29.7%Spray accuracy
84.6%Counter-strafing
8.5°Preaim
608msReaction time
29.6%T opening success
27.7%CT opening success
0.52Enemies flashed / flash
4.2%Flash assists
13.93HE damage / grenade
5.47Flashes / 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

    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 29.6133% — below the 40% mark we flag

Spend your practice time on Anubis

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 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0731%18 Oct →
mirage5–13-0.0522%24 Sept →
mirage3–13-0.0615%10 Sept →
dust27–13-0.0625%10 Sept →
mirage13–11-0.0129%10 Sept →
mirage3–13-0.1312%10 Sept →
dust213–60.0524%6 Sept →
cache13–2-0.0115%6 Sept →
anubis5–13-0.0125%6 Sept →
mirage13–110.0121%6 Sept →
inferno13–2-0.0613%6 Sept →
dust213–9-0.0128%6 Sept →
mirage8–13-0.0723%6 Sept →
cache10–130.0320%5 Sept →
ancient13–10-0.0623%5 Sept →
dust26–13-0.0119%5 Sept →
dust213–3-0.0618%5 Sept →
anubis5–13-0.0720%5 Sept →
mirage11–13-0.0426%5 Sept →
mirage13–100.0115%22 Aug →
dust215–150.0114%22 Aug →
cache2–10-0.0711%22 Aug →
nuke7–13-0.0417%22 Aug →
dust25–13-0.126%22 Aug →
inferno13–110.1120%20 Aug →
dust213–16-0.0017%20 Aug →
cache13–40.0313%19 Aug →
nuke13–11-0.0137%19 Aug →
nuke13–8-0.0223%17 Aug →
inferno13–7-0.0129%16 Aug →
dust27–13-0.0518%16 Aug →
mirage8–13-0.0326%16 Aug →
mirage13–10-0.0322%16 Aug →
dust25–13-0.0813%16 Aug →
dust213–20.1022%13 Aug →
mirage13–11-0.0316%13 Aug →
dust213–90.1016%5 Aug →
cache10–13-0.0515%5 Aug →
dust215–15-0.0220%5 Aug →
dust213–8-0.0413%3 Aug →
nuke7–13-0.0212%3 Aug →
ancient13–7-0.0224%2 Aug →
dust213–50.0114%2 Aug →
inferno11–13-0.0720%29 Jul →
mirage13–7-0.0227%29 Jul →
dust22–13-0.0511%29 Jul →
nuke13–10-0.0218%29 Jul →
dust26–13-0.0320%28 Jul →
mirage7–130.0022%28 Jul →
inferno0–13-0.103%26 Jul →
ancient13–90.0215%24 Jul →
mirage11–130.0214%24 Jul →
dust213–20.0517%23 Jul →
mirage9–13-0.0420%22 Jul →
mirage13–10-0.0416%22 Jul →
ancient4–13-0.0912%22 Jul →
dust24–13-0.0210%22 Jul →
mirage13–11-0.0516%21 Jul →
dust213–40.0526%20 Jul →
dust211–13-0.0320%20 Jul →
cache12–16-0.0614%20 Jul →
anubis8–13-0.0416%19 Jul →
nuke10–13-0.028%19 Jul →
ancient2–9-0.0817%19 Jul →
mirage13–10-0.0613%18 Jul →
ancient9–13-0.0314%18 Jul →
dust213–50.0218%18 Jul →
nuke13–11-0.0414%18 Jul →
inferno13–40.0111%18 Jul →
nuke7–13-0.0616%16 Jul →
cache2–13-0.0827%16 Jul →
mirage13–7-0.0020%15 Jul →
ancient13–6-0.029%15 Jul →
cache13–30.1016%7 Jul →
dust23–13-0.0919%5 Jul →
dust216–14-0.0122%5 Jul →
ancient13–9-0.018%3 Jul →
ancient10–130.016%3 Jul →
mirage13–6-0.0412%3 Jul →
anubis13–10-0.018%2 Jul →
nuke10–13-0.0715%1 Jul →
inferno3–13-0.0523%1 Jul →
dust213–10.036%1 Jul →
anubis13–90.0314%1 Jul →
anubis8–13-0.0310%28 Jun →
inferno6–13-0.0522%28 Jun →
mirage13–9-0.0041%27 Jun →
dust24–13-0.0515%27 Jun →
overpass13–7-0.1021%27 Jun →
mirage10–13-0.0722%27 Jun →
dust215–15-0.0412%27 Jun →
dust213–9-0.0516%27 Jun →
inferno6–13-0.076%27 Jun →
nuke9–130.0124%26 Jun →
dust28–130.0228%25 Jun →
mirage13–6-0.0227%25 Jun →
inferno8–13-0.0119%25 Jun →
inferno8–13-0.0416%22 Jun →
inferno13–11-0.0320%22 Jun →
dust213–11-0.0213%21 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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