JJAMZZ — CS2 Stats
FR76561198020913626[U:1:60647898]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.
No change since then — still 1,812 tracked matches. Play, then come back: the next observation lands here.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 21 days played since 11 Jul 2025. Come back after the next session and the change shows above.
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Rating over time
Faceit ELO
- At peak — 2,551
- Next: 3,000 ELO at 3,000 — 449 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-09-19
- Level 10 first seen 2026-09-19
Premier CS Rating
- 6,737 below peak (27,443)
- -132 over 30 days · steady
- Next: Red band at 25,000 — 4,294 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Pink band first seen 2026-09-19
- Purple band first seen 2026-09-19
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot 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 · +6.8pp headshot accuracy · +93ms 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
- 4–1 · 80% win rate
- Avg rating 0.01
- Avg headshot accuracy 25%
- Avg reaction 470ms
Last 10
- 8–2 · 80% win rate
- Avg rating 0.02
- Avg headshot accuracy 28%
- Avg reaction 553ms
Last 20
- 13–7 · 65% win rate
- Avg rating 0.02
- Avg headshot accuracy 25%
- Avg reaction 506ms
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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.6 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.
Strong CT-side openerEffective flashes
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 m0NESY 90% playstyle similarity
Most alike: utility contribution, positioning profile.
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. 77% 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 77% on CT to 42% 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 7.7/10 (Strong), 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 |
|---|---|---|---|---|---|
 dust2 | A | 43 | 24–19 | 56% | 0.01 |
 inferno | A | 25 | 16–9 | 64% | 0.01 |
 mirage | A | 18 | 10–8 | 56% | 0.00 |
 cache | S | 6 | 4–2 | 67% | 0.03 |
 anubis | — | 3 | 1–2 | 33% | 0.01 |
 nuke | — | 2 | 1–1 | 50% | 0.03 |
 train | — | 2 | 1–1 | 50% | 0.00 |
 overpass | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (56% over 43). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 119 | 66% | 1.29 | 17.9 |
| Inferno | 99 | 57% | 1.25 | 17.0 |
| Mirage | 99 | 48% | 1.15 | 16.8 |
| Anubis | 78 | 58% | 1.16 | 16.5 |
| Nuke | 38 | 53% | 1.19 | 16.3 |
| Ancient | 16 | 50% | 1.07 | 15.8 |
| Cache | 14 | 57% | 1.43 | 17.7 |
| Overpass | 4 | 0% | 0.90 | 17.8 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–10 | -0.01 | 21% | 15 Sept → | |
| dust2 | 13–9 | 0.04 | 14% | 25 Aug → | |
| inferno | 13–5 | 0.04 | 23% | 24 Aug → | |
| inferno | 1–2 | -0.01 | 50% | 24 Aug → | |
| cache | 13–11 | 0.01 | 16% | 24 Aug → | |
| dust2 | 13–7 | -0.01 | 18% | 23 Aug → | |
| dust2 | 13–6 | 0.03 | 39% | 23 Aug → | |
| dust2 | 13–7 | 0.13 | 32% | 23 Aug → | |
| cache | 13–2 | -0.02 | 36% | 23 Aug → | |
| mirage | 7–13 | 0.02 | 33% | 23 Aug → | |
| mirage | 13–11 | -0.03 | 30% | 23 Aug → | |
| mirage | 13–2 | 0.09 | 16% | 23 Aug → | |
| dust2 | 0–2 | -0.00 | 0% | 23 Aug → | |
| anubis | 11–13 | -0.03 | 27% | 23 Aug → | |
| dust2 | 11–13 | 0.00 | 23% | 22 Aug → | |
| dust2 | 10–13 | 0.04 | 20% | 22 Aug → | |
| mirage | 10–13 | 0.01 | 26% | 22 Aug → | |
| dust2 | 13–5 | 0.07 | 7% | 22 Aug → | |
| inferno | 13–6 | -0.03 | 41% | 21 Aug → | |
| cache | 13–9 | 0.04 | 25% | 21 Aug → | |
| mirage | 2–13 | -0.04 | 25% | 21 Aug → | |
| cache | 6–13 | 0.04 | 17% | 20 Aug → | |
| mirage | 13–3 | 0.02 | 23% | 20 Aug → | |
| inferno | 9–13 | 0.01 | 20% | 20 Aug → | |
| dust2 | 4–5 | -0.00 | 5% | 19 Aug → | |
| mirage | 13–9 | -0.02 | 13% | 19 Aug → | |
| dust2 | 13–1 | 0.12 | 30% | 19 Aug → | |
| cache | 13–5 | 0.13 | 25% | 18 Aug → | |
| inferno | 13–5 | 0.06 | 15% | 18 Aug → | |
| inferno | 13–8 | 0.02 | 18% | 18 Aug → | |
| mirage | 13–9 | 0.03 | 23% | 18 Aug → | |
| cache | 9–13 | -0.01 | 13% | 18 Aug → | |
| dust2 | 13–8 | 0.01 | 25% | 17 Aug → | |
| dust2 | 3–4 | 0.15 | 14% | 16 Aug → | |
| inferno | 13–8 | -0.00 | 17% | 16 Aug → | |
| dust2 | 11–13 | 0.01 | 21% | 16 Aug → | |
| inferno | 13–5 | 0.11 | 38% | 16 Aug → | |
| anubis | 11–13 | -0.01 | 16% | 13 Aug → | |
| dust2 | 13–11 | -0.02 | 16% | 16 Feb → | |
| inferno | 13–3 | 0.08 | 37% | 16 Feb → | |
| mirage | 11–13 | 0.02 | 9% | 16 Feb → | |
| dust2 | 5–13 | -0.01 | 15% | 15 Feb → | |
| dust2 | 8–13 | 0.00 | 9% | 15 Feb → | |
| dust2 | 13–9 | -0.06 | 21% | 15 Feb → | |
| inferno | 10–13 | -0.03 | 3% | 15 Feb → | |
| mirage | 0–13 | 0.00 | 0% | 15 Feb → | |
| mirage | 14–16 | -0.05 | 14% | 15 Feb → | |
| dust2 | 13–2 | 0.06 | 23% | 15 Feb → | |
| inferno | 4–13 | -0.09 | 6% | 15 Feb → | |
| inferno | 2–13 | 0.01 | 60% | 15 Feb → | |
| inferno | 2–4 | -0.06 | 17% | 15 Feb → | |
| dust2 | 10–13 | -0.01 | 15% | 15 Feb → | |
| dust2 | 16–14 | 0.04 | 24% | 15 Feb → | |
| inferno | 3–13 | -0.03 | 9% | 15 Feb → | |
| dust2 | 13–10 | 0.02 | 12% | 15 Feb → | |
| dust2 | 13–6 | 0.01 | 18% | 15 Feb → | |
| dust2 | 15–15 | -0.03 | 24% | 14 Feb → | |
| dust2 | 13–8 | -0.00 | 16% | 14 Feb → | |
| mirage | 13–5 | -0.03 | 25% | 14 Feb → | |
| mirage | 7–13 | -0.00 | 33% | 14 Feb → | |
| dust2 | 0–13 | 0.00 | 0% | 14 Feb → | |
| inferno | 8–13 | 0.04 | 28% | 14 Feb → | |
| dust2 | 13–6 | 0.07 | 31% | 14 Feb → | |
| dust2 | 13–10 | -0.10 | 21% | 14 Feb → | |
| dust2 | 0–13 | 0.00 | 0% | 14 Feb → | |
| dust2 | 4–13 | -0.03 | 27% | 14 Feb → | |
| inferno | 13–10 | 0.10 | 36% | 14 Feb → | |
| dust2 | 9–13 | -0.05 | 21% | 14 Feb → | |
| dust2 | 10–13 | 0.01 | 14% | 13 Feb → | |
| dust2 | 8–13 | -0.05 | 33% | 13 Feb → | |
| inferno | 10–13 | 0.00 | 28% | 13 Feb → | |
| inferno | 13–5 | -0.02 | 34% | 13 Feb → | |
| dust2 | 13–11 | -0.02 | 21% | 13 Feb → | |
| dust2 | 13–4 | -0.04 | 32% | 13 Feb → | |
| mirage | 13–10 | 0.02 | 11% | 13 Feb → | |
| mirage | 4–0 | 0.01 | 50% | 13 Feb → | |
| inferno | 13–6 | -0.05 | 16% | 13 Feb → | |
| inferno | 13–5 | 0.03 | 21% | 13 Feb → | |
| anubis | 13–5 | 0.08 | 26% | 13 Feb → | |
| inferno | 13–7 | -0.03 | 4% | 13 Feb → | |
| overpass | 13–4 | 0.03 | 15% | 13 Feb → | |
| dust2 | 16–12 | -0.04 | 14% | 13 Feb → | |
| inferno | 8–1 | 0.09 | 27% | 13 Feb → | |
| dust2 | 1–13 | -0.01 | 0% | 13 Feb → | |
| inferno | 13–1 | 0.04 | 43% | 13 Feb → | |
| dust2 | 7–13 | -0.00 | 39% | 12 Feb → | |
| dust2 | 16–12 | -0.00 | 27% | 12 Feb → | |
| nuke | 13–1 | 0.09 | 46% | 12 Feb → | |
| dust2 | 13–7 | 0.03 | 14% | 12 Feb → | |
| mirage | 13–9 | -0.01 | 14% | 12 Feb → | |
| dust2 | 1–5 | -0.08 | 14% | 12 Feb → | |
| train | 13–9 | 0.02 | 15% | 11 Oct → | |
| dust2 | 13–3 | 0.02 | 36% | 10 Oct → | |
| dust2 | 13–5 | 0.05 | 17% | 10 Oct → | |
| mirage | 8–13 | -0.00 | 18% | 10 Oct → | |
| nuke | 7–13 | -0.03 | 27% | 12 Jul → | |
| mirage | 13–10 | -0.01 | 39% | 12 Jul → | |
| train | 12–12 | -0.02 | 13% | 12 Jul → | |
| dust2 | 13–5 | -0.04 | 14% | 11 Jul → | |
| inferno | 7–3 | -0.01 | 40% | 11 Jul → |
Match data via Leetify.
