Princess Diana's Car

Princess Diana's Car — CS2 Stats

VG76561198202452272[U:1:242186544]Steam profile ↗✓ No bans

1,773Tracked matches48%Win rate2020Tracked since
2,231Hours in CS28Hrs last 2 wks
CSDB Rating5.9 SolidAggressive Rifler
Premier CS Rating14,617Blue band · top ~30.4% of ranked players (population est.)
CSDB Leaderboard#12769 of 19492 tracked
Ladder ranks via Leetify

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CSDB.GGPrincess Diana's CarPREMIER14,617 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning53
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateLLWLLWWTWT

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.0
Aggression6.6
Utility4.7
Positioning5.3
Opening Duels2.1

Excellent counter-strafing

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

Reaction time. 583ms 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

Aim8.0
Positioning5.3
Utility4.7
Mechanics9.3
Opening Duels2.1
Win Impact4.4

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time576ms−88ms
first ⅓ avg 664ms → last ⅓ avg 576ms
Headshot accuracy16.2%−0.0%
first ⅓ avg 16.2% → last ⅓ avg 16.2%

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

0.16Best rating — overpass 3–5
132Biggest win — anubis
8Longest win streak
L2Current streak
47In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 67% over 9nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB1991047%-0.01
cacheC1661038%0.00
infernoB137654%0.01
anubisA116555%0.01
ancientA95456%-0.00
dust2S96367%-0.00
nukeD72529%0.03
officeC73443%-0.00
vertigoC52340%0.03
train330100%0.12
overpass1010%0.16

Across the last 100 tracked matches.

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

Lifetime stats

68,479Lifetime kills
0.93K/D
4,083Matches
30.7%Match win rate
38.1%Headshot %
10.3%Shot accuracy
4,580MVPs
1,393Hours (in match)
3,456Bombs planted
564Bombs defused

Most-used weapons

AK-4724,144
AWP4,319
MP91,671
MAC-101,266
P2501,076

Lifetime map wins

5,456dust2
3,156inferno
2,752nuke
2,024vertigo
551office
543train
8italy
7safehouse

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.

16.0%Headshot accuracy
36.9%Accuracy (enemy spotted)
36.4%Spray accuracy
91.8%Counter-strafing
9.0°Preaim
583msReaction time
32.6%T opening success
44.2%CT opening success
0.56Enemies flashed / flash
5.9%Flash assists
6.42HE damage / grenade
5.79Flashes / 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

    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 32.6295% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0214%28 Aug
nuke8–130.0117%28 Aug
anubis13–20.0711%28 Aug
mirage8–130.0317%28 Aug
dust210–13-0.0520%28 Aug
nuke13–90.0114%28 Aug
ancient13–90.0419%28 Aug
mirage12–12-0.0616%28 Aug
cache13–70.0618%27 Aug
inferno15–150.0114%27 Aug
mirage11–13-0.0310%27 Aug
cache8–13-0.0412%26 Aug
nuke3–13-0.0317%19 Aug
mirage13–6-0.0013%19 Aug
cache6–13-0.0020%19 Aug
dust213–4-0.027%19 Aug
inferno13–90.0221%19 Aug
cache13–110.0617%19 Aug
anubis13–60.008%19 Aug
cache9–13-0.0113%17 Aug
ancient9–130.0019%17 Aug
nuke13–60.1116%17 Aug
dust213–5-0.0221%17 Aug
mirage5–13-0.0624%16 Aug
mirage13–8-0.055%16 Aug
vertigo10–13-0.0120%16 Aug
office12–12-0.0318%16 Aug
cache10–130.0013%16 Aug
inferno9–50.0216%16 Aug
inferno5–9-0.0721%16 Aug
office13–70.1028%15 Aug
overpass3–50.1623%15 Aug
ancient6–13-0.0313%15 Aug
train13–30.1316%15 Aug
nuke10–130.0416%15 Aug
dust213–50.0719%15 Aug
dust29–13-0.0031%15 Aug
mirage13–100.0516%10 Aug
mirage4–130.0216%9 Aug
anubis16–140.0719%9 Aug
train13–50.1217%9 Aug
vertigo7–130.0712%9 Aug
mirage9–13-0.0410%8 Aug
cache6–13-0.0122%7 Aug
cache13–60.049%7 Aug
office10–13-0.0020%7 Aug
anubis13–80.1019%6 Aug
inferno13–40.0719%6 Aug
mirage13–9-0.0217%6 Aug
cache6–1-0.0415%6 Aug
office10–13-0.0213%6 Aug
ancient5–13-0.0017%6 Aug
anubis6–13-0.0318%6 Aug
vertigo13–70.0524%5 Aug
vertigo6–130.0225%5 Aug
vertigo13–60.0314%5 Aug
cache6–13-0.0825%4 Aug
inferno11–13-0.0221%4 Aug
mirage5–13-0.0213%3 Aug
anubis8–13-0.0218%31 Jul
cache11–13-0.0010%31 Jul
mirage13–11-0.019%30 Jul
anubis15–15-0.0222%30 Jul
mirage13–60.0321%30 Jul
anubis13–6-0.0017%30 Jul
ancient13–8-0.0517%30 Jul
dust213–9-0.0214%30 Jul
cache13–16-0.0321%28 Jul
ancient13–30.0221%28 Jul
mirage13–9-0.076%28 Jul
ancient13–6-0.0416%28 Jul
inferno13–2-0.0121%28 Jul
ancient13–40.036%28 Jul
inferno13–30.0619%27 Jul
dust213–90.0112%27 Jul
mirage13–7-0.019%27 Jul
mirage11–130.019%27 Jul
inferno16–13-0.0211%27 Jul
mirage13–70.1119%27 Jul
anubis13–9-0.0819%27 Jul
nuke13–160.0117%27 Jul
anubis9–130.018%25 Jul
cache10–13-0.0211%25 Jul
cache13–60.0410%25 Jul
cache10–130.0113%25 Jul
nuke10–130.0313%24 Jul
mirage11–13-0.0717%24 Jul
dust213–110.0314%24 Jul
mirage11–130.0117%24 Jul
inferno12–16-0.0119%24 Jul
cache13–40.0719%24 Jul
inferno7–13-0.0219%24 Jul
train13–50.1029%24 Jul
inferno8–130.0016%13 Jul
dust24–13-0.0130%13 Jul
anubis4–130.0016%13 Jul
inferno13–90.0114%13 Jul
office10–40.0028%12 Jul
office13–80.0520%12 Jul
office2–13-0.1019%12 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 →