✪ sbed

✪ sbed — CS2 Stats

US76561198255610518[U:1:295344790]Steam profile ↗✓ No bans

558Tracked matches39%Win rate2026Tracked since
CSDB Rating5.1 DevelopingPassive Rifler
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim66
Positioning41
Utility64

0–100 skill scores via Leetify.

Recent form

COLD50437Last 10050%Win rateLLLLWTWLWL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim6.6
Aggression2.2
Utility6.4
Positioning4.1
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 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 667ms 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

Aim6.6
Positioning4.1
Utility6.4
Mechanics7.6
Opening Duels0.5
Win Impact1.4

Composite 5.1/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time636ms+17ms
first ⅓ avg 619ms → last ⅓ avg 636ms
Headshot accuracy11.0%−0.1%
first ⅓ avg 11.1% → last ⅓ avg 11.0%

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

0.23Best rating — inferno 9–6
131Biggest win — cache
5Longest win streak
L4Current streak
56In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 73% over 11officeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheC34142041%-0.01
mirageS1510567%0.02
dust2C125742%0.01
infernoS118373%0.02
officeD62433%-0.00
nukeA53260%0.03
alpine31233%-0.02
train3030%-0.00
anubis330100%-0.01
ancient2020%-0.02
vertigo220100%0.12
boulder1010%-0.04
warden110100%-0.01
italy110100%-0.02
overpass1010%-0.09

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.1%Headshot accuracy
37.2%Accuracy (enemy spotted)
43.7%Spray accuracy
84.2%Counter-strafing
9.8°Preaim
667msReaction time
20.6%T opening success
33.7%CT opening success
0.70Enemies flashed / flash
6.1%Flash assists
9.12HE damage / grenade
10.97Flashes / 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 11.0963% — below the 15% mark we flag

    Aim Training
  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 20.5795% — below the 40% mark we flag

Spend your practice time on Cache

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

41% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
boulder10–13-0.0410%21 Jul
mirage8–13-0.0513%21 Jul
dust29–13-0.0012%13 Jul
cache8–13-0.053%13 Jul
dust213–60.0014%6 Jul
cache12–12-0.0313%6 Jul
office13–40.0315%3 Jul
cache6–13-0.052%3 Jul
cache13–110.0421%29 Jun
office10–130.0315%29 Jun
mirage16–13-0.0113%29 Jun
office12–120.0116%29 Jun
cache11–13-0.057%20 Jun
mirage13–9-0.003%20 Jun
alpine6–13-0.080%20 Jun
dust24–130.0018%19 Jun
train1–13-0.056%19 Jun
cache5–13-0.0111%19 Jun
mirage13–60.0510%12 Jun
dust214–160.0211%12 Jun
anubis13–7-0.072%11 Jun
mirage13–50.0210%11 Jun
inferno9–30.0931%11 Jun
inferno0–9-0.300%10 Jun
dust26–13-0.056%10 Jun
inferno9–50.0111%10 Jun
inferno7–130.0624%10 Jun
inferno9–50.126%10 Jun
mirage13–40.1117%9 Jun
mirage9–130.068%9 Jun
dust210–130.008%9 Jun
inferno4–9-0.0315%9 Jun
nuke13–70.0214%9 Jun
ancient5–13-0.0517%9 Jun
dust213–11-0.0115%9 Jun
dust29–13-0.0311%9 Jun
mirage13–30.1116%9 Jun
vertigo13–30.1712%8 Jun
vertigo13–100.0713%5 Jun
office11–13-0.0118%1 Jun
cache7–13-0.019%1 Jun
anubis13–2-0.0110%1 Jun
cache12–12-0.0014%1 Jun
inferno13–10-0.0513%31 May
cache1–13-0.0522%31 May
cache13–10-0.036%31 May
cache13–50.0118%31 May
cache7–13-0.0311%30 May
cache13–2-0.029%30 May
cache13–5-0.0316%30 May
cache9–130.0215%30 May
cache13–4-0.0323%30 May
cache2–70.006%30 May
train12–120.0610%30 May
anubis13–110.0412%30 May
dust29–13-0.0513%30 May
mirage13–50.0111%30 May
nuke7–9-0.035%30 May
inferno9–60.239%29 May
inferno9–30.0712%29 May
inferno9–10.017%29 May
cache13–10.0410%29 May
cache13–5-0.0211%29 May
cache10–13-0.0224%29 May
dust213–60.0622%29 May
cache13–7-0.0319%29 May
cache5–13-0.0130%29 May
cache13–80.018%29 May
cache13–7-0.0711%28 May
cache10–13-0.045%28 May
mirage10–130.0112%28 May
office4–13-0.1118%25 May
alpine8–13-0.057%25 May
cache2–130.0318%25 May
warden13–5-0.018%25 May
inferno13–11-0.038%25 May
mirage11–13-0.0119%25 May
office13–40.0312%25 May
italy13–10-0.0213%25 May
alpine13–110.059%24 May
train11–13-0.0218%24 May
mirage7–10.0312%24 May
nuke13–90.087%24 May
cache12–120.0014%23 May
cache12–120.0116%23 May
cache13–70.006%23 May
cache13–40.125%23 May
dust213–90.068%23 May
cache5–13-0.0118%22 May
mirage8–10.014%22 May
mirage13–70.0713%22 May
cache8–130.0110%22 May
mirage5–13-0.055%22 May
ancient6–130.0112%22 May
dust213–20.0817%22 May
cache13–5-0.055%22 May
nuke6–13-0.0423%21 May
overpass4–13-0.097%21 May
nuke13–60.1112%21 May
cache12–12-0.027%21 May

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 →