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Sasquatch

Sasquatch — CS2 Stats

76561199054163375[U:1:1093897647]Steam profile ↗

472Tracked matches62%Win rate2024Tracked since
CSDB Rating2.7 Learning
Premier CS Rating4,677Grey band · top ~80.2% of ranked players (population est.)
CSDB Leaderboard#30646 of 39828 tracked
Ladder ranks via Leetify

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CSDB.GGSasquatchPREMIER4,677 · Grey bandcsdb.gg/stats

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Performance scores

Aim14
Positioning33
Utility32

0–100 skill scores via Leetify.

Recent form

COLD44–47–9Last 10044%Win rateLWWLTLLWTL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim1.4
Aggression2.9
Utility3.2
Positioning3.3
Opening Duels0.2

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 61% playstyle similarity

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

Where you differ: lower utility contribution; 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. 719ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim1.4
Positioning3.3
Utility3.2
Mechanics3.2
Opening Duels1.0
Win Impact9.0

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time714ms−17ms
first ⅓ avg 731ms → last ⅓ avg 714ms
Headshot accuracy10.0%−1.3%
first ⅓ avg 11.4% → last ⅓ avg 10.0%

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

0.06Best rating — nuke 13–5
13–2Biggest win — nuke
9Longest win streak
8–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 53% over 17anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%-0.05
infernoD195–1426%-0.06
nukeC198–1142%-0.05
mirageB179–853%-0.03
anubisD82–625%-0.05
overpass—43–175%-0.06
vertigo—31–233%-0.12
ancient—32–167%-0.05
cache—21–150%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis 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
27.4%Accuracy (enemy spotted)
24.5%Spray accuracy
64.6%Counter-strafing
12.0°Preaim
719msReaction time
23.6%T opening success
37.8%CT opening success
0.49Enemies flashed / flash
5.1%Flash assists
8.02HE damage / grenade
2.51Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0068° — above the 12° mark we flag

    Aim Training →
  2. 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 10.9538% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 718.5975ms — above the 700ms mark we flag

    Aim Training →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno2–9-0.168%16 Aug →
mirage13–11-0.038%16 Aug →
vertigo13–11-0.055%29 Jul →
cache10–13-0.0314%29 Jul →
inferno8–8-0.036%27 Jul →
dust23–13-0.0613%27 Jul →
nuke10–13-0.0821%26 Jul →
dust213–5-0.0912%26 Jul →
inferno8–8-0.098%25 Jul →
nuke6–9-0.0513%25 Jul →
mirage16–14-0.0310%25 Jul →
ancient3–13-0.1011%25 Jul →
anubis13–11-0.052%24 Jul →
nuke9–13-0.0712%23 Jul →
nuke13–10-0.066%23 Jul →
dust211–13-0.097%23 Jul →
inferno0–9-0.177%23 Jul →
dust213–9-0.0710%21 Jul →
inferno12–120.006%21 Jul →
mirage13–10-0.0317%20 Jul →
dust213–60.0215%19 Jul →
dust25–13-0.1314%18 Jul →
mirage7–13-0.009%18 Jul →
dust213–90.0210%18 Jul →
mirage8–13-0.0810%17 Jul →
inferno13–7-0.0712%16 Jul →
dust27–5-0.058%16 Jul →
nuke8–13-0.0517%16 Jul →
dust24–13-0.0710%15 Jul →
vertigo3–9-0.167%15 Jul →
cache13–4-0.023%15 Jul →
mirage13–9-0.028%15 Jul →
ancient13–60.0112%15 Jul →
dust216–13-0.1014%14 Jul →
mirage13–7-0.0318%14 Jul →
dust213–100.0616%13 Jul →
inferno9–13-0.0510%10 Jul →
nuke13–50.068%10 Jul →
inferno10–13-0.0513%26 Jun →
inferno13–40.007%16 Jun →
dust26–13-0.085%5 Jun →
anubis10–13-0.0815%4 Jun →
overpass12–12-0.1017%4 Jun →
nuke13–20.029%4 Jun →
mirage10–13-0.0213%2 Jun →
inferno9–13-0.064%2 Jun →
anubis9–13-0.0717%30 May →
overpass13–11-0.0512%30 May →
overpass13–6-0.0518%29 May →
dust213–11-0.0711%29 May →
nuke13–11-0.0311%27 May →
inferno12–12-0.0910%26 May →
mirage7–130.0119%26 May →
inferno9–5-0.1013%23 May →
nuke13–16-0.0613%23 May →
dust25–13-0.0516%18 May →
mirage3–13-0.078%16 May →
anubis9–13-0.027%15 May →
nuke13–10-0.087%13 May →
inferno7–13-0.0312%13 May →
mirage5–2-0.050%13 May →
inferno4–13-0.113%18 Apr →
nuke11–13-0.076%18 Apr →
dust28–13-0.0513%18 Apr →
nuke10–130.049%6 Apr →
anubis10–13-0.0418%6 Apr →
nuke4–9-0.186%3 Apr →
mirage9–13-0.0613%3 Apr →
dust213–5-0.0111%2 Apr →
inferno7–9-0.092%2 Apr →
inferno8–8-0.0315%29 Mar →
vertigo4–9-0.143%29 Mar →
nuke5–13-0.124%28 Mar →
nuke1–9-0.1221%28 Mar →
nuke9–60.0415%28 Mar →
dust21–13-0.0515%27 Mar →
anubis6–13-0.0313%27 Mar →
mirage12–12-0.0010%25 Mar →
dust213–7-0.044%25 Mar →
dust213–40.0420%24 Mar →
inferno7–13-0.045%24 Mar →
dust213–4-0.0414%24 Mar →
dust213–9-0.047%23 Mar →
nuke13–9-0.0315%23 Mar →
anubis13–10-0.0311%21 Mar →
overpass13–9-0.048%21 Mar →
ancient13–9-0.0526%20 Mar →
inferno13–10-0.033%20 Mar →
nuke13–8-0.015%20 Mar →
mirage13–10-0.009%19 Mar →
dust211–13-0.058%19 Mar →
mirage7–13-0.0713%19 Mar →
mirage13–60.0419%19 Mar →
dust210–13-0.047%17 Mar →
anubis8–13-0.1018%17 Mar →
inferno13–6-0.0422%16 Mar →
mirage13–8-0.035%11 Mar →
dust212–12-0.0218%11 Mar →
nuke5–13-0.117%11 Mar →
dust212–12-0.0810%10 Mar →

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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