♡Prinsessa♡ — CS2 Stats

76561199490856218[U:1:1530590490]✓ No bans

3,342Tracked matches39%Win rate2023Tracked since
CSDB Rating3.0 Learning
Premier CS Rating16,492Purple band · top ~22.5% of ranked players (population est.)
CSDB Leaderboard#31490 of 57655 tracked
FaceitLevel 2 · 680 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GG♡Prinsessa♡FACEITLevel 2 · 680 ELOSTANDINGTop 97.9% of rankedPREMIER16,492 · Purple bandcsdb.gg/stats

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Performance scores

Aim39
Positioning33
Utility22

0–100 skill scores via Leetify.

Recent form

COLD46486Last 10046%Win rateLLLLLLWTWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim3.9
Aggression6.0
Utility2.2
Positioning3.3
Opening Duels0.9
Clutch6.0

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

b1t

Plays most like b1t 72% 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

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim3.9
Positioning3.3
Utility2.2
Mechanics3.4
Opening Duels1.6
Win Impact1.4

Composite 3.0/10 (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+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time597ms−21ms
first ⅓ avg 618ms → last ⅓ avg 597ms
Headshot accuracy10.6%+1.6%
first ⅓ avg 9.0% → last ⅓ avg 10.6%

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 13–8
130Biggest win — inferno
3Longest win streak
L6Current streak
67In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 58% over 19mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC23101343%-0.05
infernoA1911858%-0.03
ancientA169756%-0.04
mirageD124833%-0.03
dust2C125742%-0.04
cacheD124833%-0.04
vertigo2020%-0.03
overpass1010%0.00
boulder110100%-0.02
anubis110100%-0.03
fachwerk110100%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

28Matches
32%Win rate
0.70Avg K/D
67.3ADR
30%Headshot %

Clutches & streaks

50%1v1 clutch win
15%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno743%0.6810.1
Nuke729%0.7610.7
Ancient617%0.7412.3
Mirage367%0.568.0
Anubis20%0.448.0
Vertigo1100%1.5628.0
Dust210%0.6911.0
Train10%0.377.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

10.4%Headshot accuracy
30.4%Accuracy (enemy spotted)
34.8%Spray accuracy
65.4%Counter-strafing
9.8°Preaim
593msReaction time
24.1%T opening success
43.0%CT opening success
0.26Enemies flashed / flash
1.6%Flash assists
6.01HE damage / grenade
2.80Flashes / 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 10.4303% — 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 0.2575 — 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 24.1495% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient0–13-0.090%30 Aug
inferno5–13-0.096%30 Aug
nuke3–13-0.079%30 Aug
nuke2–13-0.0219%30 Aug
nuke3–13-0.0825%30 Aug
ancient2–13-0.059%30 Aug
inferno13–00.000%30 Aug
mirage15–15-0.0513%29 Aug
inferno13–9-0.0618%29 Aug
dust213–10.035%29 Aug
ancient4–13-0.058%24 Aug
cache11–13-0.0113%24 Aug
inferno13–11-0.0212%24 Aug
mirage13–90.0214%22 Aug
cache10–13-0.0513%21 Aug
ancient11–13-0.057%21 Aug
inferno8–80.0413%21 Aug
inferno8–8-0.1117%21 Aug
overpass7–130.0012%21 Aug
boulder13–7-0.0210%21 Aug
nuke7–13-0.0410%21 Aug
nuke13–2-0.039%18 Aug
inferno10–13-0.0316%18 Aug
ancient13–6-0.077%18 Aug
nuke6–13-0.0210%18 Aug
nuke3–13-0.069%18 Aug
cache13–8-0.046%18 Aug
dust29–130.0312%17 Aug
vertigo12–12-0.0312%17 Aug
vertigo11–13-0.035%17 Aug
ancient13–2-0.086%16 Aug
ancient13–11-0.059%16 Aug
cache10–13-0.0417%16 Aug
inferno13–10-0.0313%15 Aug
mirage13–4-0.0110%15 Aug
nuke13–00.0413%15 Aug
inferno10–13-0.0721%15 Aug
ancient13–100.0310%15 Aug
dust211–13-0.0211%15 Aug
mirage6–13-0.039%7 Aug
dust213–6-0.052%7 Aug
mirage13–8-0.077%7 Aug
ancient13–8-0.0210%6 Aug
dust211–13-0.0611%6 Aug
nuke15–15-0.027%6 Aug
anubis13–11-0.037%6 Aug
nuke13–5-0.0511%5 Aug
dust210–130.018%5 Aug
ancient14–160.017%5 Aug
cache10–130.0013%5 Aug
inferno13–9-0.015%4 Aug
nuke13–6-0.0015%4 Aug
mirage15–15-0.029%4 Aug
mirage8–13-0.094%2 Aug
inferno13–2-0.042%2 Aug
cache5–13-0.106%2 Aug
mirage7–13-0.0510%2 Aug
fachwerk13–11-0.075%2 Aug
nuke2–9-0.2313%2 Aug
nuke10–13-0.088%30 Jul
nuke13–6-0.042%30 Jul
mirage13–9-0.019%30 Jul
nuke7–13-0.067%30 Jul
ancient13–4-0.026%30 Jul
inferno4–130.0211%30 Jul
mirage10–13-0.0613%26 Jul
ancient16–14-0.0312%26 Jul
cache11–13-0.0512%26 Jul
ancient7–13-0.0610%26 Jul
inferno13–5-0.0414%26 Jul
inferno13–9-0.0511%26 Jul
cache9–13-0.073%26 Jul
inferno12–16-0.076%25 Jul
dust213–10-0.0914%25 Jul
ancient13–11-0.046%25 Jul
nuke6–13-0.093%25 Jul
inferno13–100.019%25 Jul
dust213–3-0.072%25 Jul
cache8–13-0.070%25 Jul
dust213–70.0117%25 Jul
nuke13–10-0.046%25 Jul
mirage9–13-0.0512%23 Jul
ancient5–13-0.0414%23 Jul
dust24–13-0.0210%23 Jul
nuke13–7-0.036%23 Jul
cache16–12-0.0410%23 Jul
nuke13–80.0614%23 Jul
mirage8–130.0412%23 Jul
dust25–13-0.1111%22 Jul
nuke13–6-0.0517%22 Jul
nuke2–13-0.0713%22 Jul
cache13–50.037%22 Jul
nuke10–13-0.098%22 Jul
ancient13–50.012%22 Jul
inferno10–13-0.0910%22 Jul
nuke13–4-0.046%22 Jul
inferno13–40.0310%22 Jul
dust28–13-0.1213%22 Jul
cache16–12-0.054%22 Jul
inferno13–40.036%22 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 →