P Squeeze

P Squeeze — CS2 Stats

US76561198137818355[U:1:177552627]Steam profile ↗

2,362Tracked matches41%Win rate2023Tracked since
CSDB Rating3.7 Learning
Premier CS Rating5,842Light Blue band · top ~74.8% of ranked players (population est.)
CSDB Leaderboard#23508 of 30768 tracked
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGP SqueezePREMIER5,842 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning45
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY40564Last 10040%Win rateLWLWWLLWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim4.6
Aggression5.2
Utility5.6
Positioning4.5
Opening Duels1.4

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 84% 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. 615ms 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

Aim4.6
Positioning4.5
Utility5.6
Mechanics4.5
Opening Duels1.4
Win Impact2.1

Composite 3.7/10 (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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time609ms−105ms
first ⅓ avg 713ms → last ⅓ avg 609ms
Headshot accuracy17.3%+1.6%
first ⅓ avg 15.7% → last ⅓ avg 17.3%

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

0.15Best rating — anubis 13–5
132Biggest win — office
5Longest win streak
44In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 50% over 8ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
officeC35142140%-0.01
dust2C1761135%0.00
mirageC125742%-0.02
anubisB84450%0.00
vertigoB63350%0.00
ancientD51420%0.03
cache42250%-0.02
nuke41325%-0.03
train32167%0.02
boulder31233%0.00
inferno31233%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). 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.

17.1%Headshot accuracy
33.3%Accuracy (enemy spotted)
35.9%Spray accuracy
70.1%Counter-strafing
12.6°Preaim
615msReaction time
29.4%T opening success
41.6%CT opening success
0.53Enemies flashed / flash
10.4%Flash assists
10.46HE damage / grenade
8.83Flashes / 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 12.6005° — above the 12° 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.029%27 Aug
anubis13–11-0.043%27 Aug
office8–130.0121%27 Aug
office13–9-0.0515%26 Aug
office13–20.0414%26 Aug
office7–13-0.0422%25 Aug
ancient8–13-0.0318%25 Aug
anubis13–60.0414%25 Aug
mirage13–8-0.0213%25 Aug
office7–130.0010%25 Aug
office11–13-0.0713%25 Aug
anubis7–13-0.0515%24 Aug
office6–13-0.1019%23 Aug
dust27–13-0.0327%23 Aug
dust213–50.0627%23 Aug
dust211–13-0.0010%23 Aug
ancient4–130.0410%23 Aug
train13–8-0.0126%23 Aug
dust211–13-0.0011%23 Aug
office13–11-0.0323%23 Aug
office0–13-0.0243%23 Aug
dust213–6-0.0216%22 Aug
office10–13-0.0119%21 Aug
anubis13–80.059%21 Aug
office8–13-0.0825%21 Aug
office10–130.0315%21 Aug
vertigo4–12-0.0514%21 Aug
office13–70.0819%20 Aug
boulder13–40.0120%20 Aug
office12–120.0022%19 Aug
office13–50.0713%19 Aug
office13–80.0710%18 Aug
ancient13–5-0.0225%18 Aug
office5–13-0.0222%17 Aug
office10–130.018%17 Aug
train13–40.0015%17 Aug
cache4–13-0.098%16 Aug
inferno10–13-0.0114%16 Aug
dust213–100.0621%16 Aug
office5–130.0430%16 Aug
office7–130.0823%15 Aug
office13–80.0317%15 Aug
anubis5–13-0.0410%15 Aug
anubis9–130.0111%15 Aug
office13–11-0.0619%14 Aug
mirage13–90.0222%14 Aug
cache8–130.0117%14 Aug
office13–6-0.0526%13 Aug
office6–13-0.0126%13 Aug
office12–12-0.0518%12 Aug
train12–120.0513%12 Aug
office13–5-0.0326%12 Aug
office7–130.0011%12 Aug
nuke7–130.0117%11 Aug
inferno13–5-0.022%11 Aug
office13–90.0138%11 Aug
cache13–100.0115%8 Aug
mirage13–100.0417%8 Aug
dust213–60.0620%8 Aug
office7–130.0923%6 Aug
office9–13-0.0314%6 Aug
office13–70.0213%6 Aug
dust211–130.0411%6 Aug
mirage13–11-0.0315%6 Aug
dust24–13-0.0521%5 Aug
office7–13-0.0719%5 Aug
office7–13-0.0816%5 Aug
vertigo13–50.0319%4 Aug
mirage7–130.0220%4 Aug
dust21–13-0.0712%4 Aug
cache13–80.0114%4 Aug
mirage4–130.0217%4 Aug
inferno10–13-0.0016%4 Aug
dust23–130.0216%4 Aug
ancient6–130.0318%4 Aug
nuke15–15-0.0211%3 Aug
dust213–90.0315%3 Aug
dust28–13-0.0317%3 Aug
ancient10–130.1214%3 Aug
mirage2–13-0.0712%3 Aug
anubis13–50.1514%2 Aug
nuke13–8-0.0614%2 Aug
dust28–13-0.0621%2 Aug
office13–8-0.0222%2 Aug
vertigo8–130.0419%2 Aug
mirage13–5-0.0512%31 Jul
anubis9–13-0.093%31 Jul
mirage6–13-0.0612%31 Jul
vertigo13–90.0314%31 Jul
office13–7-0.0528%31 Jul
nuke6–13-0.0517%30 Jul
dust213–100.0715%30 Jul
mirage7–13-0.0113%30 Jul
mirage5–13-0.0528%30 Jul
mirage13–16-0.0417%30 Jul
dust29–130.0021%30 Jul
boulder4–13-0.0111%30 Jul
boulder10–130.0130%30 Jul
vertigo13–100.0010%29 Jul
vertigo2–13-0.030%29 Jul

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 →