jms — CS2 Stats
BT76561198142845514[U:1:182579786]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 2,103
- Next: 2,500 ELO at 2,500 — 397 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
- Level 10 first seen 2026-08-28
- Level 9 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: +30pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafingStrong 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 Twistzz 97% playstyle similarity
Most alike: positioning profile, opening-duel success.
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 89 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 562ms 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 7.5/10 (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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| A | 21 | 13–8 | 62% | 0.01 | |
| S | 20 | 13–7 | 65% | 0.03 | |
| A | 14 | 8–6 | 57% | 0.02 | |
| A | 13 | 8–5 | 62% | 0.02 | |
| S | 12 | 8–4 | 67% | 0.04 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| boulder | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (56% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 46 | 52% | 1.04 | 15.7 |
| Ancient | 39 | 62% | 1.21 | 16.7 |
| Anubis | 32 | 41% | 1.16 | 16.1 |
| Nuke | 16 | 62% | 1.17 | 16.6 |
| Dust2 | 15 | 47% | 1.07 | 13.7 |
| Inferno | 6 | 33% | 0.79 | 12.3 |
| Vertigo | 3 | 67% | 1.13 | 19.0 |
| Cache | 3 | 100% | 1.03 | 13.3 |
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.
- 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 31.8634% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.09 | 17% | 27 Aug → | ||
| 13–9 | -0.05 | 11% | 27 Aug → | ||
| 13–11 | -0.06 | 17% | 26 Aug → | ||
| 13–10 | 0.02 | 32% | 25 Aug → | ||
| 13–8 | 0.05 | 25% | 24 Aug → | ||
| 11–13 | -0.02 | 16% | 24 Aug → | ||
| 13–4 | 0.04 | 26% | 23 Aug → | ||
| 13–2 | -0.02 | 31% | 23 Aug → | ||
| 13–6 | 0.07 | 32% | 23 Aug → | ||
| 13–8 | 0.02 | 20% | 20 Aug → | ||
| 13–10 | 0.04 | 16% | 20 Aug → | ||
| 13–11 | -0.03 | 23% | 18 Aug → | ||
| 13–4 | 0.02 | 36% | 13 Aug → | ||
| 13–8 | -0.03 | 45% | 13 Aug → | ||
| 13–9 | 0.07 | 23% | 13 Aug → | ||
| 11–13 | -0.02 | 21% | 13 Aug → | ||
| 9–13 | 0.02 | 29% | 13 Aug → | ||
| 13–2 | 0.14 | 23% | 11 Aug → | ||
| 12–12 | 0.09 | 20% | 11 Aug → | ||
| 12–16 | 0.02 | 33% | 11 Aug → | ||
| 8–13 | -0.01 | 24% | 10 Aug → | ||
| 13–7 | 0.11 | 41% | 10 Aug → | ||
| 13–8 | 0.02 | 23% | 10 Aug → | ||
| 13–1 | 0.01 | 22% | 10 Aug → | ||
| 6–13 | 0.04 | 16% | 9 Aug → | ||
| 13–10 | -0.01 | 28% | 6 Aug → | ||
| 16–14 | -0.03 | 31% | 6 Aug → | ||
| 8–13 | -0.04 | 32% | 5 Aug → | ||
| 8–13 | -0.02 | 30% | 4 Aug → | ||
| 13–6 | 0.10 | 18% | 3 Aug → | ||
| 13–4 | 0.09 | 35% | 3 Aug → | ||
| 13–9 | 0.10 | 30% | 3 Aug → | ||
| 3–13 | 0.01 | 31% | 3 Aug → | ||
| 6–0 | -0.02 | 20% | 2 Aug → | ||
| 13–6 | 0.10 | 19% | 1 Aug → | ||
| 13–8 | 0.01 | 19% | 1 Aug → | ||
| 10–13 | 0.02 | 20% | 1 Aug → | ||
| 7–13 | -0.03 | 31% | 30 Jul → | ||
| 13–4 | 0.07 | 20% | 28 Jul → | ||
| 13–4 | 0.14 | 20% | 28 Jul → | ||
| 9–13 | -0.02 | 23% | 26 Jul → | ||
| 12–12 | 0.09 | 17% | 23 Jul → | ||
| 13–7 | -0.03 | 36% | 23 Jul → | ||
| 11–13 | 0.01 | 22% | 22 Jul → | ||
| 13–5 | -0.00 | 27% | 22 Jul → | ||
| 13–5 | -0.01 | 25% | 22 Jul → | ||
| 10–13 | 0.01 | 19% | 21 Jul → | ||
| 16–13 | 0.13 | 22% | 21 Jul → | ||
| 16–14 | 0.06 | 24% | 19 Jul → | ||
| 13–6 | -0.01 | 12% | 18 Jul → | ||
| 13–6 | 0.07 | 19% | 18 Jul → | ||
| 13–4 | 0.01 | 14% | 17 Jul → | ||
| 13–7 | -0.01 | 16% | 17 Jul → | ||
| 12–12 | 0.02 | 21% | 16 Jul → | ||
| 4–13 | 0.02 | 37% | 16 Jul → | ||
| 13–3 | 0.11 | 35% | 15 Jul → | ||
| 11–13 | 0.00 | 22% | 14 Jul → | ||
| 13–3 | -0.01 | 16% | 13 Jul → | ||
| 11–13 | 0.02 | 22% | 13 Jul → | ||
| 8–13 | -0.03 | 13% | 13 Jul → | ||
| boulder | 13–7 | 0.04 | 23% | 12 Jul → | |
| 13–4 | 0.01 | 13% | 12 Jul → | ||
| 13–10 | 0.03 | 22% | 12 Jul → | ||
| 6–13 | -0.01 | 18% | 8 Jul → | ||
| 13–7 | 0.02 | 15% | 6 Jul → | ||
| 2–13 | -0.01 | 14% | 6 Jul → | ||
| 13–11 | 0.01 | 9% | 5 Jul → | ||
| 13–7 | 0.02 | 22% | 4 Jul → | ||
| 11–13 | -0.03 | 16% | 3 Jul → | ||
| 13–6 | 0.04 | 25% | 30 Jun → | ||
| 10–13 | -0.02 | 18% | 30 Jun → | ||
| 16–12 | 0.04 | 14% | 28 Jun → | ||
| 13–8 | -0.01 | 11% | 27 Jun → | ||
| 10–13 | 0.02 | 25% | 27 Jun → | ||
| 13–9 | 0.06 | 23% | 27 Jun → | ||
| 13–7 | -0.09 | 18% | 27 Jun → | ||
| 3–13 | -0.01 | 13% | 27 Jun → | ||
| 13–11 | 0.00 | 10% | 24 Jun → | ||
| 6–13 | 0.01 | 22% | 24 Jun → | ||
| 13–16 | 0.03 | 17% | 24 Jun → | ||
| 13–3 | 0.03 | 19% | 24 Jun → | ||
| 13–6 | 0.01 | 17% | 23 Jun → | ||
| 2–13 | -0.02 | 20% | 22 Jun → | ||
| 13–11 | 0.01 | 14% | 22 Jun → | ||
| 15–15 | -0.01 | 22% | 18 Jun → | ||
| 8–13 | 0.07 | 28% | 17 Jun → | ||
| 12–12 | 0.05 | 17% | 17 Jun → | ||
| 13–9 | 0.03 | 33% | 16 Jun → | ||
| 13–5 | 0.07 | 16% | 16 Jun → | ||
| 13–7 | 0.04 | 18% | 15 Jun → | ||
| 13–7 | 0.05 | 21% | 15 Jun → | ||
| 5–13 | -0.01 | 10% | 15 Jun → | ||
| 5–13 | 0.10 | 33% | 14 Jun → | ||
| 13–11 | 0.01 | 19% | 14 Jun → | ||
| 12–12 | -0.03 | 20% | 13 Jun → | ||
| 13–9 | -0.01 | 15% | 13 Jun → | ||
| 13–4 | -0.00 | 15% | 12 Jun → | ||
| 13–8 | -0.03 | 29% | 11 Jun → | ||
| 13–6 | 0.10 | 26% | 11 Jun → | ||
| 13–9 | -0.01 | 16% | 10 Jun → |
Match data via Leetify.
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