0SAMAS — CS2 Stats
PROJiJieHaoPalestineRiflerSettings & gear profile →
76561199024583803[U:1:1064318075]
Rating over time
Faceit ELO
- At peak — 3,444
- Next: 3,500 ELO at 3,500 — 56 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 NiKo 92% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency.
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 52% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.
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 6.5/10 (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 |
|---|---|---|---|---|---|
| A | 25 | 15–10 | 60% | 0.03 | |
| B | 21 | 10–11 | 48% | 0.02 | |
| A | 19 | 11–8 | 58% | -0.00 | |
| S | 14 | 11–3 | 79% | 0.02 | |
| C | 11 | 4–7 | 36% | 0.01 | |
| — | 4 | 3–1 | 75% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| office | — | 2 | 1–1 | 50% | -0.09 |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 865 | 59% | 1.37 | 19.8 |
| Ancient | 771 | 56% | 1.36 | 19.3 |
| Dust2 | 629 | 64% | 1.40 | 19.0 |
| Anubis | 478 | 60% | 1.34 | 19.1 |
| Nuke | 323 | 56% | 1.37 | 19.2 |
| Vertigo | 163 | 52% | 1.32 | 19.6 |
| Inferno | 151 | 62% | 1.35 | 18.6 |
| Overpass | 83 | 61% | 1.33 | 19.6 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 20.7385% — 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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.18 | 24% | 20 Aug → | ||
| 13–5 | 0.11 | 25% | 19 Aug → | ||
| 4–13 | -0.08 | 29% | 15 Aug → | ||
| 4–7 | -0.05 | 17% | 15 Aug → | ||
| 1–7 | -0.05 | 33% | 15 Aug → | ||
| 8–13 | -0.04 | 11% | 13 Aug → | ||
| 3–13 | -0.06 | 25% | 13 Aug → | ||
| 13–10 | 0.00 | 21% | 12 Aug → | ||
| 10–13 | 0.03 | 31% | 10 Aug → | ||
| 13–11 | -0.05 | 26% | 9 Aug → | ||
| 13–9 | -0.01 | 13% | 9 Aug → | ||
| 7–13 | -0.03 | 21% | 9 Aug → | ||
| 7–13 | -0.01 | 27% | 9 Aug → | ||
| 13–11 | 0.07 | 19% | 9 Aug → | ||
| 13–6 | -0.06 | 7% | 9 Aug → | ||
| 16–14 | 0.05 | 21% | 9 Aug → | ||
| 13–7 | -0.01 | 19% | 9 Aug → | ||
| 9–13 | -0.01 | 21% | 9 Aug → | ||
| 13–2 | 0.07 | 20% | 8 Aug → | ||
| 11–13 | -0.06 | 20% | 8 Aug → | ||
| 13–9 | -0.01 | 18% | 8 Aug → | ||
| 11–13 | -0.01 | 19% | 8 Aug → | ||
| 11–13 | -0.01 | 25% | 8 Aug → | ||
| 13–1 | 0.01 | 20% | 7 Aug → | ||
| 13–1 | 0.04 | 31% | 7 Aug → | ||
| 9–13 | -0.04 | 17% | 1 Aug → | ||
| 8–13 | -0.06 | 36% | 1 Aug → | ||
| 13–9 | -0.03 | 22% | 1 Aug → | ||
| 13–9 | 0.24 | 20% | 31 Jul → | ||
| 13–8 | 0.01 | 16% | 30 Jul → | ||
| 28–26 | -0.03 | 21% | 30 Jul → | ||
| 8–13 | -0.06 | 9% | 27 Jul → | ||
| 16–14 | 0.03 | 26% | 19 Jul → | ||
| 13–9 | 0.04 | 17% | 12 Jul → | ||
| 12–12 | 0.16 | 34% | 12 Jul → | ||
| office | 5–13 | -0.11 | 10% | 12 Jul → | |
| office | 4–1 | -0.06 | 0% | 11 Jul → | |
| 13–8 | 0.02 | 22% | 9 Jul → | ||
| 7–13 | 0.04 | 15% | 30 Jun → | ||
| 14–16 | -0.01 | 24% | 18 Jun → | ||
| 11–13 | 0.03 | 26% | 18 Jun → | ||
| 13–9 | 0.06 | 17% | 15 Jun → | ||
| 12–12 | 0.12 | 20% | 14 Jun → | ||
| 12–12 | 0.04 | 28% | 31 May → | ||
| 9–13 | -0.03 | 24% | 24 May → | ||
| 17–19 | -0.03 | 20% | 24 May → | ||
| 13–2 | 0.03 | 27% | 24 May → | ||
| 16–12 | 0.02 | 25% | 24 May → | ||
| 13–3 | 0.10 | 24% | 23 May → | ||
| 13–5 | 0.03 | 31% | 23 May → | ||
| 6–13 | 0.03 | 21% | 17 May → | ||
| 13–9 | -0.01 | 30% | 17 May → | ||
| 24–28 | 0.01 | 20% | 17 May → | ||
| 10–13 | -0.01 | 20% | 17 May → | ||
| 16–13 | -0.01 | 28% | 16 May → | ||
| 13–6 | 0.03 | 33% | 16 May → | ||
| 13–2 | 0.02 | 29% | 13 May → | ||
| 10–13 | 0.00 | 27% | 12 May → | ||
| 9–13 | -0.05 | 16% | 12 May → | ||
| 13–4 | 0.04 | 35% | 12 May → | ||
| 16–13 | -0.02 | 16% | 12 May → | ||
| 13–7 | 0.05 | 29% | 11 May → | ||
| 13–11 | -0.03 | 19% | 11 May → | ||
| 3–13 | -0.07 | 24% | 11 May → | ||
| 7–13 | 0.12 | 16% | 9 May → | ||
| 13–2 | 0.04 | 34% | 9 May → | ||
| 13–6 | 0.13 | 48% | 8 May → | ||
| 13–8 | 0.09 | 25% | 6 May → | ||
| 13–6 | 0.02 | 24% | 3 May → | ||
| 13–3 | -0.00 | 21% | 3 May → | ||
| 8–13 | -0.05 | 34% | 2 May → | ||
| 8–13 | -0.01 | 26% | 2 May → | ||
| 13–9 | -0.01 | 43% | 1 May → | ||
| 13–8 | -0.03 | 23% | 1 May → | ||
| 11–13 | -0.02 | 24% | 1 May → | ||
| 13–1 | -0.01 | 19% | 30 Apr → | ||
| 13–5 | 0.05 | 16% | 24 Apr → | ||
| 13–11 | 0.04 | 25% | 24 Apr → | ||
| 13–1 | 0.04 | 27% | 23 Apr → | ||
| 13–6 | 0.05 | 17% | 23 Apr → | ||
| 13–9 | 0.06 | 26% | 22 Apr → | ||
| 13–4 | 0.13 | 16% | 13 Apr → | ||
| 6–13 | 0.10 | 23% | 12 Apr → | ||
| 13–5 | -0.02 | 21% | 11 Apr → | ||
| 5–13 | -0.04 | 19% | 9 Apr → | ||
| 6–13 | 0.04 | 15% | 6 Apr → | ||
| 13–5 | 0.05 | 13% | 6 Apr → | ||
| 3–13 | -0.07 | 15% | 1 Apr → | ||
| 14–16 | 0.00 | 18% | 29 Mar → | ||
| 9–13 | -0.01 | 14% | 29 Mar → | ||
| 13–5 | 0.09 | 16% | 29 Mar → | ||
| 11–13 | -0.01 | 27% | 25 Mar → | ||
| 13–9 | 0.10 | 24% | 22 Mar → | ||
| 13–1 | 0.05 | 32% | 21 Mar → | ||
| 13–10 | 0.08 | 33% | 21 Mar → | ||
| 13–11 | -0.04 | 20% | 20 Mar → | ||
| 5–13 | -0.04 | 14% | 16 Mar → | ||
| 8–13 | 0.01 | 22% | 14 Mar → | ||
| 13–7 | -0.02 | 19% | 12 Mar → | ||
| 13–6 | -0.00 | 19% | 12 Mar → |
Match data via Leetify.