Sexual Walrus — CS2 Stats

76561198045224351[U:1:84958623]

489Tracked matches56%Win rate2023Tracked since
CSDB Rating3.4 Learning
Ladder ranks via Leetify

Performance scores

Aim34
Positioning26
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY56368Last 10056%Win rateLWWTWWWLTL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim3.4
Aggression1.8
Utility3.5
Positioning2.6
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 62% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 638ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.4
Positioning2.6
Utility3.5
Mechanics4.0
Opening Duels0.0
Win Impact7.0

Composite 3.4/10 (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+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time644ms−20ms
first ⅓ avg 664ms → last ⅓ avg 644ms
Headshot accuracy11.2%−0.5%
first ⅓ avg 11.7% → last ⅓ avg 11.2%

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

0.11Best rating — cache 13–2
131Biggest win — train
6Longest win streak
44In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 79% over 14ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B21101148%-0.06
cacheB2091145%-0.04
infernoS1411379%-0.04
vertigoA106460%-0.06
trainS96367%-0.03
mirageA85363%-0.06
nukeA74357%-0.04
ancientC73443%-0.06
overpass21150%-0.08
anubis110100%-0.01
office1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.0%Headshot accuracy
33.0%Accuracy (enemy spotted)
30.4%Spray accuracy
68.0%Counter-strafing
11.1°Preaim
638msReaction time
19.4%T opening success
30.2%CT opening success
0.53Enemies flashed / flash
3.3%Flash assists
7.95HE damage / grenade
2.67Flashes / 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 11.0424% — 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 2.6716 — 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 19.4443% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.108%30 Aug
vertigo13–6-0.0410%29 Aug
train13–2-0.063%29 Aug
cache12–12-0.0619%29 Aug
inferno13–6-0.0321%28 Aug
dust213–7-0.079%28 Aug
mirage13–7-0.0211%28 Aug
nuke3–80.0513%28 Aug
cache12–12-0.059%27 Aug
vertigo7–130.0211%26 Aug
inferno13–30.0314%26 Aug
nuke13–6-0.043%26 Aug
dust29–13-0.0618%25 Aug
vertigo8–13-0.113%23 Aug
inferno13–70.015%23 Aug
mirage13–7-0.109%23 Aug
dust211–13-0.0314%23 Aug
ancient10–13-0.116%22 Aug
inferno13–10-0.0117%21 Aug
ancient12–12-0.076%20 Aug
dust213–3-0.0220%20 Aug
mirage13–3-0.0313%20 Aug
mirage11–13-0.047%20 Aug
inferno9–30.049%19 Aug
nuke12–12-0.0512%19 Aug
dust210–13-0.0513%16 Aug
dust213–8-0.068%13 Aug
mirage9–13-0.0214%2 Aug
dust213–8-0.0218%31 Jul
vertigo8–13-0.077%30 Jul
vertigo12–12-0.0911%30 Jul
inferno13–10-0.0610%29 Jul
dust29–13-0.0419%29 Jul
cache13–8-0.0610%25 Jul
nuke4–13-0.0615%24 Jul
ancient7–13-0.086%24 Jul
inferno13–3-0.0817%24 Jul
dust28–13-0.045%19 Jul
cache6–13-0.1016%19 Jul
dust213–8-0.068%18 Jul
vertigo13–10-0.0715%18 Jul
train13–6-0.0411%18 Jul
ancient13–11-0.0819%18 Jul
inferno13–5-0.0515%17 Jul
anubis13–8-0.0117%12 Jul
dust28–13-0.040%11 Jul
inferno13–11-0.1011%10 Jul
vertigo13–11-0.1012%10 Jul
office7–13-0.027%10 Jul
cache7–13-0.1024%27 Jun
dust213–9-0.1018%27 Jun
train13–1-0.0212%27 Jun
inferno9–13-0.0513%26 Jun
cache13–5-0.084%26 Jun
train13–6-0.0513%21 Jun
inferno13–8-0.0411%21 Jun
dust213–11-0.090%21 Jun
overpass13–6-0.056%20 Jun
nuke13–5-0.054%20 Jun
inferno10–13-0.0613%20 Jun
cache13–30.0015%19 Jun
ancient13–20.048%19 Jun
cache3–13-0.058%14 Jun
train12–12-0.0413%14 Jun
overpass8–13-0.1011%13 Jun
cache13–20.1111%13 Jun
mirage7–13-0.0910%13 Jun
cache6–13-0.0514%6 Jun
train12–12-0.035%6 Jun
cache5–13-0.0723%6 Jun
vertigo13–8-0.0320%25 May
mirage13–9-0.0811%25 May
train13–60.0327%25 May
cache13–30.0213%24 May
dust213–9-0.116%24 May
ancient13–9-0.0811%24 May
cache11–130.016%23 May
dust24–13-0.1019%23 May
inferno6–13-0.124%23 May
vertigo13–8-0.062%23 May
cache13–10-0.049%22 May
train13–5-0.028%10 May
mirage13–8-0.104%10 May
inferno13–10-0.097%10 May
cache13–10-0.039%10 May
cache9–13-0.0812%9 May
dust213–6-0.0530%9 May
dust26–7-0.0421%9 May
ancient4–13-0.077%8 May
cache13–6-0.065%8 May
dust26–13-0.0315%1 May
cache2–13-0.064%1 May
cache13–70.0210%1 May
cache12–12-0.078%1 May
vertigo13–7-0.0412%26 Apr
dust213–9-0.1016%26 Apr
train5–13-0.0515%26 Apr
nuke13–5-0.034%26 Apr
dust28–13-0.0418%19 Apr
nuke13–9-0.0711%19 Apr

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 →