P3T3 Machine — CS2 Stats
76561198012365537[U:1:52099809]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 9 Oct 2026 (24 days ago). Ranks are recorded once per day this page is viewed.
No change since then. Play, then come back: the next observation lands here.
Rating over time
Premier CS Rating
- 670 below peak (21,632)
- +319 over 30 days · steady
- +2,061 over 90 days
- Next: Red band at 25,000 — 4,038 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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: +40pp win rate · −0.00 avg rating · −4.1pp headshot accuracy · −36ms reaction
Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.
Last 5 · 10 · 20 matches
Last 5
- 3–2 · 60% win rate
- Avg rating -0.01
- Avg headshot accuracy 13%
- Avg reaction 472ms
Last 10
- 7–3 · 70% win rate
- Avg rating 0.01
- Avg headshot accuracy 12%
- Avg reaction 467ms
Last 20
- 10–9–1 · 50% win rate
- Avg rating 0.01
- Avg headshot accuracy 14%
- Avg reaction 485ms
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: All-Rounder — No style dimension stands clear of the others in this profile.
Reliable in 1v1s
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 device 76% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: 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
Strengths
CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 60% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
Counter-strafing. Only 68% 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
Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 inferno | A | 29 | 16–13 | 55% | 0.01 |
 ancient | D | 16 | 5–11 | 31% | 0.00 |
 nuke | B | 16 | 8–8 | 50% | 0.02 |
 anubis | A | 14 | 8–6 | 57% | 0.02 |
 overpass | S | 8 | 7–1 | 88% | 0.01 |
 cache | C | 5 | 2–3 | 40% | 0.03 |
 dust2 | — | 4 | 3–1 | 75% | 0.04 |
 mirage | — | 3 | 1–2 | 33% | 0.02 |
| office | — | 2 | 2–0 | 100% | 0.06 |
| italy | — | 1 | 1–0 | 100% | -0.01 |
 vertigo | — | 1 | 1–0 | 100% | 0.10 |
| alpine | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 3 | 67% | 0.81 | 12.3 |
| Ancient | 2 | 100% | 1.25 | 15.5 |
| Nuke | 1 | 100% | 2.38 | 19.0 |
| Dust2 | 1 | 100% | 0.70 | 19.0 |
| Cache | 1 | 100% | 1.14 | 16.0 |
| Overpass | 1 | 100% | 0.69 | 11.0 |
| Anubis | 1 | 0% | 0.57 | 8.0 |
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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.1276% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 6–13 | -0.01 | 9% | 9 Oct → | |
| inferno | 13–7 | 0.01 | 14% | 9 Oct → | |
| inferno | 13–6 | -0.01 | 7% | 9 Oct → | |
| ancient | 16–14 | 0.02 | 18% | 5 Sept → | |
| anubis | 12–16 | -0.04 | 15% | 5 Sept → | |
| ancient | 13–11 | -0.06 | 4% | 15 Aug → | |
| cache | 13–2 | 0.00 | 17% | 15 Aug → | |
| nuke | 11–13 | 0.01 | 11% | 15 Aug → | |
| inferno | 13–6 | 0.13 | 8% | 15 Aug → | |
| anubis | 13–5 | 0.04 | 15% | 15 Aug → | |
| ancient | 10–13 | -0.04 | 8% | 15 Aug → | |
| nuke | 10–13 | 0.03 | 15% | 15 Aug → | |
| mirage | 12–16 | -0.04 | 15% | 14 Aug → | |
| cache | 13–4 | 0.10 | 18% | 14 Aug → | |
| inferno | 13–10 | 0.01 | 19% | 9 Aug → | |
| cache | 15–15 | 0.08 | 14% | 8 Aug → | |
| inferno | 16–14 | 0.05 | 11% | 8 Aug → | |
| inferno | 2–3 | -0.11 | 33% | 8 Aug → | |
| anubis | 10–13 | 0.03 | 12% | 8 Aug → | |
| cache | 10–13 | 0.01 | 14% | 8 Aug → | |
| mirage | 11–13 | 0.05 | 17% | 8 Aug → | |
| inferno | 8–13 | -0.01 | 9% | 8 Aug → | |
| anubis | 10–13 | -0.03 | 14% | 3 Aug → | |
| inferno | 13–6 | -0.04 | 6% | 3 Aug → | |
| inferno | 10–13 | 0.05 | 12% | 3 Aug → | |
| anubis | 13–5 | 0.03 | 21% | 3 Aug → | |
| dust2 | 13–8 | 0.04 | 16% | 3 Aug → | |
| mirage | 13–4 | 0.03 | 26% | 3 Aug → | |
| ancient | 7–13 | 0.03 | 17% | 17 Jul → | |
| inferno | 13–6 | 0.12 | 24% | 17 Jul → | |
| anubis | 13–6 | 0.01 | 14% | 17 Jul → | |
| ancient | 6–13 | 0.02 | 23% | 12 Jul → | |
| cache | 5–13 | -0.03 | 18% | 12 Jul → | |
| ancient | 3–13 | 0.03 | 20% | 10 Jul → | |
| inferno | 4–13 | -0.09 | 13% | 10 Jul → | |
| nuke | 13–11 | 0.01 | 22% | 9 Jul → | |
| inferno | 13–8 | 0.00 | 32% | 9 Jul → | |
| italy | 13–10 | -0.01 | 23% | 8 Jul → | |
| dust2 | 13–2 | 0.10 | 22% | 8 Jul → | |
| overpass | 13–11 | -0.01 | 18% | 8 Jul → | |
| office | 8–2 | 0.07 | 11% | 8 Jul → | |
| office | 13–3 | 0.05 | 23% | 8 Jul → | |
| anubis | 4–13 | 0.02 | 25% | 3 Jul → | |
| ancient | 9–13 | 0.00 | 12% | 3 Jul → | |
| anubis | 13–7 | 0.08 | 20% | 3 Jul → | |
| inferno | 13–5 | -0.02 | 13% | 27 Apr → | |
| inferno | 4–13 | -0.06 | 10% | 27 Apr → | |
| nuke | 13–2 | 0.03 | 8% | 27 Apr → | |
| nuke | 13–4 | 0.01 | 14% | 25 Apr → | |
| anubis | 13–8 | -0.02 | 15% | 21 Apr → | |
| ancient | 14–16 | 0.01 | 8% | 21 Apr → | |
| inferno | 13–4 | 0.02 | 16% | 9 Apr → | |
| ancient | 7–13 | -0.02 | 16% | 28 Mar → | |
| anubis | 13–1 | 0.05 | 15% | 28 Mar → | |
| inferno | 13–5 | 0.05 | 12% | 28 Mar → | |
| overpass | 13–5 | 0.10 | 15% | 28 Mar → | |
| anubis | 13–6 | 0.02 | 15% | 28 Mar → | |
| ancient | 13–4 | 0.10 | 17% | 28 Mar → | |
| inferno | 13–5 | 0.07 | 27% | 28 Mar → | |
| nuke | 13–11 | 0.07 | 18% | 28 Mar → | |
| anubis | 14–16 | 0.05 | 15% | 13 Mar → | |
| nuke | 13–10 | 0.06 | 12% | 13 Mar → | |
| ancient | 13–10 | 0.05 | 9% | 13 Mar → | |
| inferno | 13–11 | 0.05 | 12% | 12 Mar → | |
| nuke | 11–13 | -0.03 | 9% | 12 Mar → | |
| nuke | 13–1 | 0.07 | 19% | 11 Mar → | |
| nuke | 13–11 | 0.07 | 19% | 7 Mar → | |
| nuke | 10–13 | 0.03 | 17% | 5 Mar → | |
| anubis | 10–13 | -0.00 | 9% | 2 Mar → | |
| nuke | 3–13 | -0.01 | 25% | 2 Mar → | |
| inferno | 13–9 | -0.05 | 13% | 25 Feb → | |
| nuke | 14–16 | 0.01 | 9% | 25 Feb → | |
| ancient | 6–13 | 0.01 | 13% | 25 Feb → | |
| nuke | 6–13 | -0.02 | 16% | 21 Feb → | |
| overpass | 13–9 | 0.01 | 21% | 21 Feb → | |
| ancient | 11–13 | -0.01 | 7% | 21 Feb → | |
| vertigo | 13–2 | 0.10 | 22% | 12 Feb → | |
| alpine | 13–3 | 0.07 | 14% | 12 Feb → | |
| inferno | 13–6 | 0.06 | 14% | 10 Feb → | |
| overpass | 13–6 | -0.02 | 11% | 10 Feb → | |
| inferno | 11–13 | -0.00 | 23% | 8 Feb → | |
| overpass | 13–10 | 0.01 | 12% | 8 Feb → | |
| ancient | 3–13 | -0.03 | 2% | 8 Feb → | |
| inferno | 7–13 | 0.01 | 16% | 8 Feb → | |
| anubis | 16–13 | 0.04 | 13% | 8 Feb → | |
| inferno | 14–16 | -0.01 | 13% | 8 Feb → | |
| inferno | 14–16 | 0.02 | 16% | 6 Jan → | |
| ancient | 10–13 | -0.02 | 9% | 6 Jan → | |
| nuke | 2–13 | -0.05 | 6% | 3 Jan → | |
| inferno | 10–13 | -0.02 | 14% | 3 Jan → | |
| inferno | 10–13 | -0.00 | 15% | 25 Dec → | |
| inferno | 13–8 | 0.06 | 10% | 25 Dec → | |
| inferno | 11–13 | -0.01 | 12% | 6 Dec → | |
| dust2 | 13–5 | 0.03 | 15% | 6 Dec → | |
| nuke | 13–7 | 0.08 | 18% | 5 Dec → | |
| overpass | 13–7 | 0.01 | 16% | 5 Dec → | |
| overpass | 16–13 | 0.00 | 13% | 22 Nov → | |
| inferno | 10–13 | -0.02 | 7% | 22 Nov → | |
| ancient | 13–9 | -0.06 | 8% | 8 Nov → | |
| overpass | 15–15 | -0.00 | 8% | 18 Oct → |
Match data via Leetify.
Recent teammates
Milestones
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