married 2 bodypillow

married 2 bodypillow — CS2 Stats

PT76561199151262190[U:1:1190996462]Steam profile ↗✓ No bans

177Tracked matches55%Win rate2022Tracked since
560Hours in CS14Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
Premier CS Rating17,043Purple band · top ~20.3% of ranked players (population est.)
CSDB Leaderboard#15798 of 28444 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate42.4%44.1%47.2%4.8% short
Shot accuracy2.5%11.4%12.7%10.3% short
Kill/death ratio1.081.031.09meets
Match win rate46.2%45.2%46.6%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmarried 2 bodypillowPREMIER17,043 · 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

Aim60
Positioning46
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY50419Last 10050%Win rateWLWWLLLLWW

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

Player DNA

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

Aim6.0
Aggression6.3
Utility2.9
Positioning4.6
Opening Duels3.1

Strong CT-side openerLimited utility dependence

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 81% playstyle similarity

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

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 54% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms 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

Aim6.0
Positioning4.6
Utility2.9
Mechanics6.1
Opening Duels3.1
Win Impact6.7

Composite 5.0/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time636ms−63ms
first ⅓ avg 698ms → last ⅓ avg 636ms
Headshot accuracy13.1%−2.9%
first ⅓ avg 16.0% → last ⅓ avg 13.1%

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

0.17Best rating — train 13–7
130Biggest win — ancient
4Longest win streak
48In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 67% over 12vertigoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB158753%-0.02
ancientA149564%0.03
anubisS128467%0.01
cacheC104640%0.01
trainA95456%0.04
infernoA85363%0.04
vertigoD72529%-0.01
nukeD72529%-0.01
dust2B63350%-0.01
office31233%0.04
overpass3030%0.02
palacio32167%0.02
boulder1010%-0.03
fachwerk1010%-0.01
golden110100%0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,308Lifetime kills
1.08K/D · Top 50% of Purple band
790Matches
46.2%Match win rate · Top 50% of Purple band
42.4%Headshot %
2.5%Shot accuracy
1,931MVPs
268Hours (in match)
271Bombs planted
152Bombs defused

Most-used weapons

Lifetime map wins

1,030inferno
643nuke
523vertigo
520dust2
292train
81office
24italy
1ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

13.1%Headshot accuracy
37.0%Accuracy (enemy spotted)
39.8%Spray accuracy
77.4%Counter-strafing
10.8°Preaim
635msReaction time
31.1%T opening success
53.8%CT opening success
0.38Enemies flashed / flash
2.8%Flash assists
5.34HE damage / grenade
4.55Flashes / 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 13.1403% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3824 — below the 0.5 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 31.1122% — below the 40% mark we flag

Spend your practice time on Vertigo

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–50.039%27 Aug
cache7–13-0.0115%26 Aug
cache13–90.0415%26 Aug
inferno13–90.0112%25 Aug
mirage7–13-0.066%24 Aug
mirage3–13-0.0014%21 Aug
anubis11–13-0.036%21 Aug
cache3–13-0.0521%21 Aug
mirage13–7-0.0311%21 Aug
cache13–110.0415%21 Aug
mirage11–13-0.0211%20 Aug
mirage8–13-0.0324%20 Aug
mirage13–8-0.0018%20 Aug
mirage13–60.0614%6 Aug
mirage13–5-0.0210%6 Aug
mirage7–13-0.0415%5 Aug
mirage2–13-0.045%5 Aug
ancient10–50.0618%4 Aug
anubis16–12-0.0314%3 Aug
vertigo12–12-0.016%29 Jul
vertigo11–130.0113%29 Jul
inferno13–100.0215%29 Jul
dust22–13-0.059%29 Jul
anubis13–30.0113%28 Jul
anubis13–30.0416%22 Jul
cache13–50.0112%19 Jul
cache13–10.0611%18 Jul
boulder10–13-0.0318%18 Jul
fachwerk6–13-0.0111%9 Jul
office13–90.0715%8 Jul
cache11–130.019%4 Jul
train12–120.0215%21 Jun
ancient13–4-0.0214%10 Jun
vertigo13–11-0.0413%5 Jun
anubis13–50.0013%29 May
anubis13–30.0013%29 May
cache8–13-0.0210%26 May
dust213–7-0.0113%24 May
cache5–130.0138%15 May
cache10–130.0337%7 May
ancient13–100.1216%21 Apr
mirage13–5-0.0526%25 Mar
inferno9–20.0314%18 Mar
nuke6–13-0.0216%16 Mar
overpass5–13-0.0532%11 Mar
nuke11–13-0.0114%5 Mar
mirage13–9-0.0013%4 Mar
train13–90.0218%3 Mar
train13–110.0442%26 Feb
mirage13–70.0217%23 Feb
dust27–13-0.0414%11 Feb
anubis13–30.1124%8 Feb
dust213–80.0118%14 Jan
anubis12–120.0516%13 Jan
dust29–13-0.0419%12 Jan
vertigo11–13-0.0710%11 Jan
vertigo12–12-0.0317%11 Jan
ancient2–13-0.0626%10 Jan
ancient12–120.0612%6 Jan
train13–2-0.0213%5 Jan
ancient13–70.087%5 Jan
ancient13–40.1614%4 Jan
inferno13–20.138%26 Dec
overpass7–13-0.029%16 Dec
inferno4–13-0.0013%15 Dec
ancient13–70.0314%15 Dec
mirage13–60.0018%14 Dec
ancient13–0-0.016%14 Dec
nuke9–13-0.026%13 Dec
anubis13–30.0123%11 Dec
anubis9–13-0.0515%10 Dec
mirage11–13-0.0410%9 Dec
nuke9–130.0213%6 Dec
office8–130.0019%2 Dec
office2–130.0521%2 Dec
inferno10–130.0843%27 Nov
train9–130.0816%24 Nov
dust216–120.0714%20 Nov
nuke4–13-0.0222%13 Nov
ancient11–130.0114%12 Nov
overpass12–120.1312%10 Nov
train1–13-0.0114%10 Nov
nuke13–10-0.0218%6 Nov
nuke13–5-0.0021%6 Nov
inferno13–6-0.027%2 Nov
golden13–10.0316%31 Oct
anubis9–13-0.0113%30 Oct
palacio13–50.0811%30 Oct
ancient12–12-0.0517%28 Oct
vertigo13–100.1012%25 Oct
palacio13–40.0127%7 Oct
palacio3–9-0.0416%2 Oct
train7–130.0013%26 Sept
anubis13–80.0311%25 Sept
inferno8–80.0811%21 Sept
train13–80.0317%21 Sept
ancient13–11-0.0015%20 Sept
ancient12–12-0.0114%20 Sept
vertigo8–13-0.0219%19 Sept
train13–70.1722%19 Sept

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 →