Supra Sosa

Supra Sosa — CS2 Stats

CA76561198265666647[U:1:305400919]Steam profile ↗✓ No bans

578Tracked matches44%Win rate2023Tracked since
CSDB Rating2.9 Learning
Ladder ranks via Leetify

Performance scores

Aim28
Positioning35
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY44488Last 10044%Win rateLWWWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim2.8
Aggression3.4
Utility4.0
Positioning3.5
Opening Duels0.0

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

NiKo

Plays most like NiKo 70% playstyle similarity

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

Where you differ: lower positioning profile; 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. 561ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim2.8
Positioning3.5
Utility4.0
Mechanics2.9
Opening Duels0.0
Win Impact3.1

Composite 2.9/10 (Learning), 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-0.04−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time564ms−38ms
first ⅓ avg 602ms → last ⅓ avg 564ms
Headshot accuracy12.9%+0.7%
first ⅓ avg 12.2% → last ⅓ avg 12.9%

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

0.16Best rating — debris 8–8
130Biggest win — office
5Longest win streak
96In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 67% over 6nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
officeB31161552%-0.03
dust2B21101148%-0.04
nukeD92722%-0.02
mirageD82625%-0.03
vertigoD72529%-0.05
infernoB63350%-0.05
anubisS64267%-0.03
cache43175%-0.04
ancient31233%-0.05
fachwerk2020%-0.04
train110100%-0.00
debris1010%0.16
shelter1010%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
30%Win rate
0.57Avg K/D
ADR
33%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

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.

13.0%Headshot accuracy
27.5%Accuracy (enemy spotted)
25.8%Spray accuracy
62.8%Counter-strafing
11.4°Preaim
561msReaction time
28.0%T opening success
27.1%CT opening success
0.74Enemies flashed / flash
5.4%Flash assists
8.74HE damage / grenade
3.17Flashes / 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. 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 13.0385% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.1712 — below the 4 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 28.0292% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0020%28 Aug
dust213–11-0.0319%27 Aug
dust216–13-0.0112%27 Aug
vertigo13–9-0.069%27 Aug
nuke13–1-0.0133%27 Aug
dust213–3-0.0429%27 Aug
office4–13-0.0415%25 Aug
dust27–13-0.005%25 Aug
mirage8–13-0.0614%24 Aug
mirage13–60.027%24 Aug
dust213–11-0.0916%24 Aug
inferno5–13-0.060%23 Aug
dust28–130.0118%23 Aug
inferno13–9-0.0313%23 Aug
office12–12-0.107%23 Aug
nuke12–12-0.0511%21 Aug
office2–13-0.120%21 Aug
inferno13–11-0.0517%20 Aug
nuke5–130.0119%20 Aug
train13–8-0.004%19 Aug
nuke11–13-0.089%7 Aug
mirage9–13-0.0125%7 Aug
ancient4–13-0.085%7 Aug
nuke8–13-0.0413%7 Aug
dust213–9-0.1111%7 Aug
inferno10–13-0.099%6 Aug
dust212–12-0.0721%6 Aug
office3–13-0.114%6 Aug
office13–11-0.0413%6 Aug
dust24–130.0116%5 Aug
mirage5–13-0.090%5 Aug
mirage13–70.0422%5 Aug
nuke2–13-0.059%5 Aug
vertigo11–13-0.066%4 Aug
inferno13–7-0.1011%4 Aug
office12–12-0.0212%4 Aug
vertigo11–13-0.1016%3 Aug
anubis13–10.0210%2 Aug
dust28–13-0.079%2 Aug
anubis13–100.030%2 Aug
inferno1–70.0413%2 Aug
nuke13–20.085%31 Jul
office13–6-0.030%31 Jul
dust27–13-0.0813%31 Jul
vertigo2–13-0.018%30 Jul
dust213–10-0.0337%30 Jul
office12–120.0112%29 Jul
office13–110.0416%29 Jul
vertigo2–13-0.0615%29 Jul
cache13–6-0.0116%28 Jul
office7–1-0.0325%28 Jul
anubis13–5-0.088%28 Jul
mirage12–12-0.0015%28 Jul
vertigo4–3-0.0717%28 Jul
office10–13-0.0113%28 Jul
dust213–90.0113%28 Jul
debris8–80.169%28 Jul
dust28–130.0117%28 Jul
office11–13-0.037%27 Jul
office12–2-0.0215%27 Jul
office13–9-0.0815%26 Jul
office13–9-0.028%26 Jul
nuke6–13-0.0313%25 Jul
dust210–13-0.0712%25 Jul
office9–13-0.048%25 Jul
cache13–11-0.055%25 Jul
dust213–8-0.056%24 Jul
office13–7-0.0217%24 Jul
anubis13–11-0.0111%24 Jul
anubis10–13-0.0811%23 Jul
office9–13-0.060%23 Jul
vertigo10–13-0.029%23 Jul
dust25–13-0.106%23 Jul
dust213–2-0.020%23 Jul
nuke11–13-0.0410%21 Jul
ancient13–7-0.0310%21 Jul
office12–12-0.0113%18 Jul
office13–80.018%18 Jul
mirage11–13-0.0717%18 Jul
office13–00.080%18 Jul
cache13–4-0.0521%17 Jul
office13–8-0.0522%14 Jul
office8–130.057%14 Jul
office8–13-0.039%14 Jul
ancient13–16-0.026%13 Jul
dust213–11-0.0110%13 Jul
office13–3-0.0214%12 Jul
mirage4–13-0.060%12 Jul
cache10–13-0.0622%12 Jul
anubis8–13-0.0721%12 Jul
fachwerk3–13-0.0112%11 Jul
office4–13-0.046%11 Jul
office13–30.0615%11 Jul
office13–7-0.0215%10 Jul
office5–13-0.0118%10 Jul
dust29–13-0.036%10 Jul
office13–9-0.0330%10 Jul
office13–4-0.0433%9 Jul
fachwerk7–13-0.077%9 Jul
shelter8–13-0.0815%9 Jul

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 →