Jame — CS2 Stats
PRO“剣聖”PARIVISIONRussiaIGLSettings & gear profile →
RU76561198036125584[U:1:75859856]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 17 Oct 2026 (13 days ago). Ranks are recorded once per day this page is viewed.
Rating over time
Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +8.7pp headshot accuracy · +10ms reaction
Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).
Last 5 · 10 · 20 matches
Last 5
- 2–3 · 40% win rate
- Avg rating -0.00
- Avg headshot accuracy 21%
- Avg reaction 422ms
Last 10
- 6–4 · 60% win rate
- Avg rating 0.01
- Avg headshot accuracy 26%
- Avg reaction 388ms
Last 20
- 9–11 · 45% win rate
- Avg rating 0.01
- Avg headshot accuracy 22%
- Avg reaction 383ms
Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).
Sharp aimer
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like ropz 94% playstyle similarity
Most alike: positioning profile, 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
Strengths
Aim. Aim score of 98 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.0/10 (Strong), 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
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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 ancient | A | 24 | 14–10 | 58% | 0.02 |
 dust2 | B | 24 | 11–13 | 46% | 0.02 |
 mirage | C | 19 | 8–11 | 42% | 0.01 |
 inferno | D | 17 | 4–13 | 24% | 0.02 |
 anubis | D | 8 | 2–6 | 25% | 0.01 |
 cache | D | 6 | 2–4 | 33% | 0.02 |
 overpass | — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 232 | 63% | 1.57 | 18.5 |
| Ancient | 142 | 61% | 1.59 | 17.0 |
| Dust2 | 130 | 68% | 1.77 | 18.1 |
| Anubis | 98 | 61% | 1.73 | 17.7 |
| Inferno | 40 | 68% | 1.72 | 17.4 |
| Overpass | 33 | 82% | 1.75 | 18.1 |
| Vertigo | 26 | 46% | 1.42 | 18.4 |
| Train | 16 | 50% | 1.33 | 18.8 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
$1,755
$1,632
$1,241
$1,229
$1,024
$795Skill 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 6–13 | -0.00 | 24% | 22 Oct → | |
| mirage | 11–13 | 0.01 | 29% | 22 Oct → | |
| dust2 | 4–13 | -0.08 | 24% | 22 Oct → | |
| cache | 13–9 | 0.05 | 20% | 21 Oct → | |
| dust2 | 13–7 | 0.02 | 10% | 21 Oct → | |
| inferno | 16–14 | -0.00 | 32% | 20 Oct → | |
| ancient | 13–10 | 0.03 | 6% | 20 Oct → | |
| cache | 10–13 | 0.04 | 24% | 20 Oct → | |
| mirage | 13–4 | 0.05 | 67% | 19 Oct → | |
| ancient | 13–2 | 0.03 | 25% | 19 Oct → | |
| ancient | 7–0 | 0.01 | 0% | 15 Oct → | |
| anubis | 4–13 | 0.00 | 18% | 15 Oct → | |
| mirage | 7–13 | 0.02 | 23% | 15 Oct → | |
| ancient | 6–10 | 0.03 | 27% | 15 Oct → | |
| dust2 | 11–13 | -0.02 | 21% | 14 Oct → | |
| mirage | 14–16 | -0.01 | 20% | 14 Oct → | |
| dust2 | 10–13 | -0.01 | 12% | 9 Oct → | |
| inferno | 2–13 | -0.01 | 19% | 9 Oct → | |
| cache | 13–10 | 0.03 | 20% | 7 Oct → | |
| mirage | 13–11 | 0.00 | 13% | 7 Oct → | |
| inferno | 8–13 | -0.02 | 27% | 7 Oct → | |
| ancient | 13–7 | 0.05 | 25% | 6 Oct → | |
| inferno | 13–11 | 0.08 | 26% | 6 Oct → | |
| anubis | 9–13 | -0.02 | 25% | 6 Oct → | |
| ancient | 13–7 | 0.00 | 31% | 5 Oct → | |
| inferno | 10–13 | 0.01 | 60% | 5 Oct → | |
| mirage | 5–13 | -0.03 | 23% | 5 Oct → | |
| dust2 | 6–13 | -0.06 | 12% | 4 Oct → | |
| anubis | 5–13 | 0.01 | 22% | 4 Oct → | |
| ancient | 13–11 | -0.04 | 20% | 4 Oct → | |
| dust2 | 5–13 | -0.01 | 28% | 3 Oct → | |
| inferno | 13–2 | 0.14 | 21% | 3 Oct → | |
| ancient | 16–12 | 0.07 | 29% | 3 Oct → | |
| ancient | 11–13 | 0.03 | 39% | 10 Sept → | |
| inferno | 14–16 | 0.01 | 30% | 10 Sept → | |
| ancient | 2–13 | -0.07 | 50% | 9 Sept → | |
| inferno | 11–13 | 0.02 | 100% | 9 Sept → | |
| inferno | 13–11 | 0.09 | 28% | 8 Sept → | |
| ancient | 13–4 | 0.03 | 31% | 8 Sept → | |
| dust2 | 4–13 | -0.00 | 14% | 16 Aug → | |
| inferno | 10–13 | 0.02 | 43% | 16 Aug → | |
| dust2 | 13–5 | 0.10 | 38% | 14 Aug → | |
| anubis | 13–5 | 0.14 | 26% | 14 Aug → | |
| cache | 11–13 | 0.02 | 23% | 12 Aug → | |
| mirage | 9–13 | -0.00 | 26% | 12 Jul → | |
| inferno | 10–13 | -0.04 | 12% | 12 Jul → | |
| dust2 | 4–13 | -0.05 | 45% | 12 Jul → | |
| cache | 9–13 | 0.00 | 31% | 11 Jul → | |
| ancient | 19–17 | 0.07 | 26% | 11 Jul → | |
| dust2 | 19–17 | 0.05 | 0% | 11 Jul → | |
| ancient | 13–9 | 0.01 | 35% | 10 Jul → | |
| mirage | 13–5 | 0.04 | 30% | 10 Jul → | |
| cache | 15–19 | -0.02 | 29% | 10 Jul → | |
| anubis | 13–16 | 0.01 | 7% | 4 Jul → | |
| ancient | 13–4 | -0.00 | 29% | 4 Jul → | |
| mirage | 13–5 | -0.02 | 17% | 4 Jul → | |
| dust2 | 13–3 | 0.08 | 20% | 3 Jul → | |
| mirage | 5–13 | -0.01 | 4% | 2 Jul → | |
| ancient | 13–4 | 0.00 | 17% | 1 Jul → | |
| inferno | 12–14 | -0.00 | 36% | 13 Jun → | |
| inferno | 0–2 | -0.05 | 17% | 13 Jun → | |
| dust2 | 0–2 | -0.04 | 50% | 13 Jun → | |
| dust2 | 13–14 | 0.05 | 25% | 13 Jun → | |
| ancient | 9–13 | 0.00 | 25% | 12 Jun → | |
| mirage | 13–7 | 0.01 | 19% | 12 Jun → | |
| inferno | 5–13 | -0.03 | 11% | 12 Jun → | |
| overpass | 1–13 | -0.09 | 38% | 11 Jun → | |
| dust2 | 13–8 | 0.04 | 29% | 11 Jun → | |
| inferno | 9–13 | 0.02 | 35% | 11 Jun → | |
| mirage | 11–13 | 0.08 | 33% | 22 May → | |
| dust2 | 4–13 | 0.07 | 40% | 22 May → | |
| ancient | 13–9 | 0.04 | 9% | 21 May → | |
| dust2 | 13–10 | 0.05 | 54% | 21 May → | |
| ancient | 4–13 | 0.03 | 21% | 20 May → | |
| mirage | 6–13 | -0.06 | 10% | 20 May → | |
| dust2 | 13–9 | 0.09 | 13% | 20 May → | |
| ancient | 12–16 | 0.00 | 31% | 12 May → | |
| dust2 | 13–11 | 0.01 | 32% | 12 May → | |
| mirage | 5–13 | -0.05 | 13% | 12 May → | |
| dust2 | 14–16 | -0.00 | 37% | 11 May → | |
| anubis | 7–13 | -0.03 | 38% | 11 May → | |
| ancient | 13–2 | 0.06 | 46% | 10 May → | |
| mirage | 13–5 | 0.08 | 40% | 10 May → | |
| ancient | 8–13 | -0.02 | 33% | 9 May → | |
| inferno | 6–13 | 0.01 | 23% | 9 May → | |
| overpass | 19–16 | 0.04 | 30% | 23 Apr → | |
| anubis | 4–13 | -0.07 | 30% | 23 Apr → | |
| dust2 | 13–11 | 0.09 | 35% | 23 Apr → | |
| mirage | 13–11 | 0.02 | 33% | 22 Apr → | |
| ancient | 7–13 | 0.01 | 26% | 22 Apr → | |
| anubis | 13–10 | 0.05 | 29% | 22 Apr → | |
| mirage | 8–13 | 0.02 | 25% | 9 Apr → | |
| dust2 | 13–6 | 0.01 | 33% | 9 Apr → | |
| ancient | 9–13 | 0.01 | 17% | 9 Apr → | |
| mirage | 28–26 | 0.03 | 15% | 8 Apr → | |
| dust2 | 13–11 | 0.07 | 18% | 8 Apr → | |
| inferno | 9–13 | 0.01 | 12% | 7 Apr → | |
| dust2 | 9–13 | -0.02 | 12% | 7 Apr → | |
| dust2 | 11–13 | 0.07 | 20% | 6 Apr → | |
| mirage | 6–13 | 0.08 | 23% | 6 Apr → |
Match data via Leetify.
Recent teammates
Milestones
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