Sasha The Grey

Sasha The Grey — CS2 Stats

76561198173934347[U:1:213668619]Steam profile ↗✓ No bans

2,076Tracked matches56%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating18,823Purple band · top ~13.2% of ranked players (population est.)
CSDB Leaderboard#9720 of 19488 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Share this profile

CSDB.GGSasha The GreyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,823 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning54
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY46468Last 10046%Win rateWLWLTWWLLT

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression8.4
Utility5.9
Positioning5.4
Opening Duels4.5

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

b1t

Plays most like b1t 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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. 603ms 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

Aim6.4
Positioning5.4
Utility5.9
Mechanics6.4
Opening Duels4.5
Win Impact6.9

Composite 6.0/10 (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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time598ms−41ms
first ⅓ avg 639ms → last ⅓ avg 598ms
Headshot accuracy12.4%−1.9%
first ⅓ avg 14.3% → last ⅓ avg 12.4%

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.

Highlights

0.16Best rating — italy 13–4
133Biggest win — inferno
8Longest win streak
84In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 55% over 11ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
cacheB28131546%0.02
dust2B157847%0.02
ancientD1551033%-0.00
nukeB126650%0.01
anubisA116555%0.01
mirageC83538%-0.01
infernoD62433%-0.01
fachwerk110100%0.04
vertigo110100%0.05
poseidon1010%-0.03
overpass110100%0.02
italy110100%0.16

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

121Matches
47%Win rate
1.15Avg K/D
ADR
34%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1644%1.1616.7
Vertigo1553%1.1516.3
Nuke757%1.6526.9
Overpass520%1.4416.8
Anubis450%1.1417.3
Inferno475%1.2522.5
Ancient333%1.3417.3

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.

12.4%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.0%Spray accuracy
78.6%Counter-strafing
10.4°Preaim
603msReaction time
45.3%T opening success
50.8%CT opening success
0.58Enemies flashed / flash
5.6%Flash assists
8.78HE damage / grenade
9.91Flashes / 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 12.4494% — below the 15% mark we flag

    Aim Training
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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0216%26 Aug
dust26–13-0.0023%21 Aug
nuke13–40.1116%4 Aug
cache7–130.0020%4 Aug
dust215–150.0714%3 Aug
anubis13–50.0710%3 Aug
inferno13–30.028%3 Aug
mirage8–130.0114%3 Aug
ancient9–130.007%3 Aug
ancient15–15-0.047%2 Aug
anubis13–5-0.057%2 Aug
cache5–13-0.048%31 Jul
nuke8–130.0117%31 Jul
mirage7–13-0.0216%31 Jul
dust213–110.018%31 Jul
dust216–140.059%31 Jul
dust213–8-0.078%30 Jul
nuke3–130.0111%30 Jul
nuke13–100.0110%30 Jul
nuke13–8-0.0118%30 Jul
cache13–90.0616%29 Jul
cache9–130.0811%29 Jul
dust211–130.0521%29 Jul
cache13–80.0712%29 Jul
dust213–100.0614%29 Jul
ancient3–13-0.027%28 Jul
ancient15–150.0911%28 Jul
cache13–100.0218%28 Jul
ancient9–13-0.0113%28 Jul
nuke16–13-0.018%27 Jul
ancient13–40.0511%27 Jul
dust29–13-0.0310%27 Jul
cache13–160.0613%27 Jul
anubis6–13-0.072%23 Jul
cache8–130.0015%23 Jul
cache8–130.0415%22 Jul
inferno3–13-0.0423%22 Jul
dust216–130.0415%21 Jul
cache13–90.0210%20 Jul
mirage13–110.0116%17 Jul
ancient13–40.012%17 Jul
cache13–70.0120%17 Jul
anubis13–50.0523%17 Jul
dust213–70.058%17 Jul
cache13–70.0710%15 Jul
dust25–130.037%15 Jul
cache13–30.0512%15 Jul
nuke13–80.0613%15 Jul
nuke7–13-0.0513%14 Jul
anubis13–110.0315%14 Jul
inferno7–130.0321%14 Jul
mirage13–6-0.0120%14 Jul
mirage13–70.0417%13 Jul
dust28–130.0418%13 Jul
cache11–13-0.0413%13 Jul
ancient5–13-0.0511%10 Jul
cache13–10-0.017%10 Jul
mirage10–13-0.039%10 Jul
dust213–11-0.0113%10 Jul
inferno11–130.0318%10 Jul
fachwerk13–60.0427%10 Jul
ancient3–130.005%10 Jul
ancient13–70.0517%9 Jul
anubis13–16-0.0210%9 Jul
cache13–100.0515%9 Jul
cache13–90.0118%8 Jul
cache13–90.0323%8 Jul
cache6–13-0.0211%8 Jul
cache13–10-0.0421%8 Jul
cache7–130.0815%6 Jul
cache12–120.0416%6 Jul
anubis10–130.0513%3 Jul
inferno9–13-0.0514%3 Jul
ancient5–13-0.0425%3 Jul
cache8–130.0318%3 Jul
cache12–120.0316%3 Jul
anubis13–60.0711%2 Jul
ancient16–13-0.045%2 Jul
cache13–110.0220%1 Jul
cache12–120.0214%1 Jul
nuke16–120.0117%21 Jun
mirage10–13-0.0111%25 May
ancient12–16-0.0710%24 May
mirage1–13-0.0725%24 May
vertigo13–80.0516%24 May
dust26–13-0.028%23 May
poseidon5–9-0.0325%23 May
nuke8–80.0611%23 May
nuke6–9-0.0521%23 May
anubis9–13-0.039%18 May
anubis13–80.0216%18 May
nuke7–13-0.0210%18 May
dust211–13-0.045%16 May
ancient16–140.013%16 May
anubis3–13-0.0219%15 May
overpass13–40.026%15 May
cache12–120.0410%14 May
cache8–130.0217%12 May
ancient3–13-0.0018%12 May
italy13–40.1617%11 May

Match data via Leetify.

Recent teammates

Milestones

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