✪Prince — CS2 Stats
76561198209274689[U:1:249008961]
Rating over time
Premier CS Rating
- At peak — 26,909
- Next: Gold band at 30,000 — 3,091 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Share this profile
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
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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

Plays most like Twistzz 91% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: 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
Flashes. 0.83 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 564ms 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
Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.
Trends
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
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 27 | 14–13 | 52% | 0.02 | |
| A | 24 | 15–9 | 63% | 0.03 | |
| A | 22 | 13–9 | 59% | 0.04 | |
| S | 9 | 6–3 | 67% | 0.02 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| D | 5 | 1–4 | 20% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
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.
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.
- 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 35.957% — below the 40% mark we flag
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.02 | 52% | 27 May → | ||
| 11–13 | -0.01 | 30% | 23 May → | ||
| 13–7 | 0.00 | 25% | 23 May → | ||
| 9–13 | 0.00 | 24% | 23 May → | ||
| 13–2 | 0.17 | 27% | 21 May → | ||
| 13–11 | 0.05 | 14% | 18 May → | ||
| 13–4 | 0.07 | 14% | 18 May → | ||
| 13–8 | 0.01 | 18% | 18 May → | ||
| 11–13 | 0.12 | 25% | 16 May → | ||
| 13–5 | 0.03 | 29% | 16 May → | ||
| 9–13 | 0.00 | 18% | 14 May → | ||
| 13–11 | 0.02 | 31% | 14 May → | ||
| 15–15 | -0.01 | 18% | 14 May → | ||
| 13–8 | 0.02 | 23% | 6 May → | ||
| 13–11 | 0.07 | 25% | 4 May → | ||
| 9–13 | 0.00 | 21% | 2 May → | ||
| 4–13 | -0.02 | 27% | 1 May → | ||
| 13–6 | 0.05 | 35% | 29 Apr → | ||
| 16–13 | 0.03 | 23% | 28 Apr → | ||
| 9–13 | 0.04 | 19% | 22 Apr → | ||
| 6–13 | 0.13 | 34% | 22 Apr → | ||
| 13–3 | -0.01 | 17% | 22 Apr → | ||
| 13–2 | 0.24 | 34% | 22 Apr → | ||
| 13–11 | 0.05 | 22% | 21 Apr → | ||
| 13–5 | 0.05 | 23% | 21 Apr → | ||
| 10–13 | -0.01 | 31% | 21 Apr → | ||
| 7–13 | -0.06 | 23% | 20 Apr → | ||
| 11–13 | 0.02 | 10% | 20 Apr → | ||
| 11–13 | 0.03 | 32% | 18 Apr → | ||
| 7–13 | -0.01 | 13% | 17 Apr → | ||
| 9–13 | 0.05 | 22% | 17 Apr → | ||
| 2–13 | -0.05 | 29% | 17 Apr → | ||
| 13–1 | 0.08 | 13% | 17 Apr → | ||
| 13–10 | -0.07 | 20% | 17 Apr → | ||
| 15–15 | 0.09 | 23% | 16 Apr → | ||
| 13–6 | 0.11 | 68% | 16 Apr → | ||
| 13–10 | 0.05 | 33% | 16 Apr → | ||
| 14–16 | 0.01 | 27% | 15 Apr → | ||
| 13–7 | 0.01 | 21% | 15 Apr → | ||
| 13–11 | 0.02 | 22% | 14 Apr → | ||
| 13–9 | 0.08 | 32% | 6 Apr → | ||
| 11–13 | 0.01 | 16% | 5 Apr → | ||
| 13–11 | -0.01 | 23% | 5 Apr → | ||
| 13–11 | 0.08 | 18% | 5 Apr → | ||
| 4–13 | -0.05 | 24% | 5 Apr → | ||
| 13–5 | 0.03 | 15% | 5 Apr → | ||
| 10–13 | -0.02 | 34% | 5 Apr → | ||
| 13–6 | 0.08 | 17% | 5 Apr → | ||
| 13–10 | -0.04 | 25% | 5 Apr → | ||
| 13–7 | 0.12 | 23% | 4 Apr → | ||
| 13–6 | 0.16 | 22% | 3 Apr → | ||
| 13–8 | 0.03 | 14% | 3 Apr → | ||
| 13–10 | 0.00 | 29% | 2 Apr → | ||
| 13–4 | 0.01 | 16% | 2 Apr → | ||
| 13–2 | -0.01 | 29% | 2 Apr → | ||
| 4–13 | -0.05 | 15% | 2 Apr → | ||
| 13–5 | 0.01 | 21% | 1 Apr → | ||
| 13–9 | 0.09 | 16% | 1 Apr → | ||
| 13–8 | 0.11 | 15% | 1 Apr → | ||
| 13–10 | 0.04 | 14% | 31 Mar → | ||
| 13–7 | 0.04 | 28% | 31 Mar → | ||
| 13–7 | 0.01 | 21% | 31 Mar → | ||
| 6–13 | -0.07 | 28% | 31 Mar → | ||
| 13–16 | 0.00 | 8% | 30 Mar → | ||
| 6–13 | -0.03 | 13% | 30 Mar → | ||
| 13–9 | 0.01 | 18% | 26 Mar → | ||
| 3–13 | -0.07 | 21% | 26 Mar → | ||
| 13–10 | 0.10 | 33% | 25 Mar → | ||
| 8–13 | -0.00 | 28% | 25 Mar → | ||
| 3–13 | -0.01 | 30% | 24 Mar → | ||
| 13–16 | -0.04 | 18% | 24 Mar → | ||
| 9–13 | 0.05 | 18% | 23 Mar → | ||
| 13–4 | 0.03 | 29% | 23 Mar → | ||
| 2–13 | -0.01 | 31% | 22 Mar → | ||
| 10–13 | 0.01 | 10% | 22 Mar → | ||
| 10–13 | -0.03 | 24% | 21 Mar → | ||
| 15–15 | -0.02 | 20% | 16 Mar → | ||
| 13–9 | 0.03 | 31% | 16 Mar → | ||
| 2–13 | -0.05 | 9% | 15 Mar → | ||
| 13–7 | -0.04 | 12% | 14 Mar → | ||
| 13–8 | 0.14 | 22% | 14 Mar → | ||
| 13–5 | 0.08 | 23% | 14 Mar → | ||
| 13–5 | -0.01 | 38% | 12 Mar → | ||
| 16–13 | 0.03 | 23% | 24 Feb → | ||
| 13–10 | -0.02 | 21% | 7 Feb → | ||
| 13–9 | 0.01 | 24% | 8 Nov → | ||
| 8–13 | -0.01 | 19% | 8 Nov → | ||
| 13–5 | -0.04 | 17% | 8 Nov → | ||
| 13–3 | 0.04 | 48% | 8 Nov → | ||
| 2–13 | -0.04 | 20% | 25 Jun → | ||
| 5–13 | -0.01 | 16% | 25 Jun → | ||
| 8–13 | -0.02 | 32% | 21 Jun → | ||
| 13–2 | 0.03 | 36% | 21 Jun → | ||
| 13–1 | 0.06 | 27% | 21 Jun → | ||
| 13–11 | -0.01 | 11% | 21 Jun → | ||
| 11–13 | 0.10 | 11% | 21 Jun → | ||
| 9–13 | -0.07 | 14% | 21 Jun → | ||
| 4–13 | 0.05 | 17% | 21 Jun → | ||
| 9–13 | -0.02 | 31% | 21 Jun → | ||
| 16–14 | -0.03 | 25% | 21 Jun → |
Match data via Leetify.