Jalapeña — CS2 Stats
76561198317225500[U:1:356959772]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 82% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 4.9/10 (Developing), 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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 24 | 13–11 | 54% | 0.02 | |
| B | 19 | 10–9 | 53% | 0.01 | |
| B | 18 | 9–9 | 50% | -0.01 | |
| D | 16 | 5–11 | 31% | 0.00 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 4 | 1–3 | 25% | -0.00 | |
| — | 3 | 2–1 | 67% | -0.04 | |
| office | — | 2 | 1–1 | 50% | 0.01 |
| — | 2 | 0–2 | 0% | 0.01 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 37 | 68% | 1.17 | 13.7 |
| Vertigo | 28 | 57% | 1.07 | 12.5 |
| Inferno | 23 | 48% | 1.02 | 13.9 |
| Anubis | 20 | 65% | 1.10 | 14.3 |
| Ancient | 17 | 53% | 1.26 | 12.6 |
| Nuke | 17 | 53% | 1.01 | 12.8 |
| Overpass | 14 | 57% | 1.02 | 14.1 |
| Dust2 | 9 | 89% | 1.11 | 11.8 |
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.
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 13.5055% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4934 — below the 0.5 mark we flag
- 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 22.1696% — 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.
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 | |
|---|---|---|---|---|---|
| 9–13 | -0.04 | 6% | 27 Aug → | ||
| 13–5 | 0.10 | 15% | 27 Aug → | ||
| 13–6 | 0.04 | 15% | 26 Aug → | ||
| 6–13 | -0.01 | 11% | 26 Aug → | ||
| 13–11 | -0.01 | 7% | 24 Aug → | ||
| 7–13 | -0.01 | 19% | 24 Aug → | ||
| 13–10 | 0.05 | 20% | 24 Aug → | ||
| 12–12 | -0.02 | 14% | 23 Aug → | ||
| 6–13 | 0.02 | 18% | 23 Aug → | ||
| 5–3 | -0.05 | 21% | 23 Aug → | ||
| 9–1 | 0.05 | 29% | 23 Aug → | ||
| 7–13 | -0.07 | 18% | 22 Aug → | ||
| 10–13 | -0.02 | 14% | 22 Aug → | ||
| 13–9 | 0.09 | 17% | 22 Aug → | ||
| 13–7 | 0.04 | 20% | 22 Aug → | ||
| 7–13 | 0.00 | 13% | 21 Aug → | ||
| 1–13 | -0.05 | 16% | 21 Aug → | ||
| 13–10 | -0.07 | 11% | 21 Aug → | ||
| 12–12 | 0.00 | 7% | 19 Aug → | ||
| 7–13 | 0.03 | 12% | 17 Aug → | ||
| 13–11 | 0.02 | 7% | 17 Aug → | ||
| 13–5 | -0.07 | 13% | 17 Aug → | ||
| 13–6 | 0.12 | 11% | 17 Aug → | ||
| 3–13 | -0.05 | 18% | 17 Aug → | ||
| office | 6–13 | -0.06 | 6% | 17 Aug → | |
| 8–13 | 0.03 | 9% | 17 Aug → | ||
| 7–13 | 0.09 | 15% | 17 Aug → | ||
| 5–13 | 0.01 | 24% | 11 Aug → | ||
| 10–13 | -0.08 | 11% | 11 Aug → | ||
| 13–7 | 0.02 | 7% | 11 Aug → | ||
| 13–3 | 0.07 | 9% | 11 Aug → | ||
| 8–13 | 0.04 | 14% | 11 Aug → | ||
| 6–13 | -0.04 | 20% | 10 Aug → | ||
| 6–13 | -0.08 | 11% | 9 Aug → | ||
| 11–13 | 0.02 | 13% | 9 Aug → | ||
| 13–11 | 0.05 | 10% | 8 Aug → | ||
| 13–3 | 0.06 | 14% | 6 Aug → | ||
| 13–7 | 0.09 | 16% | 6 Aug → | ||
| 13–2 | 0.09 | 23% | 3 Aug → | ||
| 7–13 | -0.03 | 18% | 3 Aug → | ||
| 13–8 | 0.03 | 11% | 3 Aug → | ||
| 13–10 | -0.08 | 12% | 2 Aug → | ||
| 11–13 | -0.07 | 9% | 2 Aug → | ||
| 10–13 | -0.03 | 16% | 26 Jul → | ||
| 13–9 | 0.01 | 19% | 26 Jul → | ||
| 4–9 | -0.08 | 10% | 26 Jul → | ||
| 7–13 | -0.07 | 15% | 26 Jul → | ||
| 10–13 | 0.05 | 16% | 26 Jul → | ||
| 13–5 | 0.04 | 8% | 26 Jul → | ||
| 13–11 | -0.03 | 8% | 25 Jul → | ||
| 13–8 | 0.01 | 10% | 25 Jul → | ||
| 12–12 | 0.08 | 18% | 16 Jul → | ||
| 8–13 | -0.01 | 14% | 16 Jul → | ||
| 16–14 | -0.00 | 17% | 16 Jul → | ||
| 13–4 | 0.13 | 15% | 15 Jul → | ||
| 4–13 | 0.04 | 15% | 15 Jul → | ||
| 13–11 | 0.05 | 25% | 15 Jul → | ||
| 13–9 | 0.12 | 10% | 15 Jul → | ||
| 13–6 | 0.03 | 18% | 14 Jul → | ||
| 13–9 | 0.00 | 14% | 14 Jul → | ||
| 9–13 | -0.04 | 4% | 13 Jul → | ||
| 6–13 | -0.03 | 11% | 10 Jul → | ||
| 4–13 | -0.04 | 15% | 10 Jul → | ||
| 9–13 | 0.01 | 17% | 10 Jul → | ||
| 13–4 | 0.06 | 13% | 10 Jul → | ||
| 13–5 | 0.00 | 35% | 10 Jul → | ||
| 13–10 | 0.09 | 17% | 9 Jul → | ||
| 4–13 | 0.02 | 30% | 9 Jul → | ||
| 8–13 | -0.07 | 10% | 9 Jul → | ||
| 6–13 | 0.02 | 10% | 9 Jul → | ||
| 12–2 | 0.01 | 13% | 9 Jul → | ||
| 13–4 | 0.00 | 22% | 9 Jul → | ||
| 12–12 | -0.00 | 12% | 8 Jul → | ||
| 13–11 | 0.04 | 13% | 7 Jul → | ||
| 10–13 | 0.02 | 18% | 7 Jul → | ||
| 13–6 | -0.06 | 11% | 7 Jul → | ||
| office | 13–9 | 0.07 | 23% | 6 Jul → | |
| 16–14 | 0.13 | 13% | 6 Jul → | ||
| 13–10 | -0.03 | 16% | 6 Jul → | ||
| 10–13 | -0.01 | 10% | 5 Jul → | ||
| 7–13 | -0.01 | 24% | 5 Jul → | ||
| 13–10 | -0.03 | 15% | 4 Jul → | ||
| 10–13 | -0.02 | 4% | 4 Jul → | ||
| 5–13 | 0.06 | 15% | 4 Jul → | ||
| 11–13 | -0.01 | 19% | 2 Jul → | ||
| 12–12 | 0.05 | 16% | 2 Jul → | ||
| 6–13 | -0.01 | 18% | 2 Jul → | ||
| 12–12 | 0.01 | 15% | 28 Jun → | ||
| 13–3 | -0.03 | 4% | 28 Jun → | ||
| 9–13 | 0.03 | 18% | 28 Jun → | ||
| 13–10 | 0.02 | 15% | 28 Jun → | ||
| 2–13 | -0.10 | 21% | 28 Jun → | ||
| 5–13 | -0.06 | 6% | 28 Jun → | ||
| 3–13 | -0.04 | 9% | 27 Jun → | ||
| 13–7 | 0.01 | 21% | 27 Jun → | ||
| 12–12 | -0.02 | 10% | 24 Jun → | ||
| 13–9 | -0.01 | 23% | 23 Jun → | ||
| 13–11 | 0.03 | 14% | 23 Jun → | ||
| 13–6 | 0.03 | 14% | 23 Jun → | ||
| 9–13 | -0.05 | 6% | 23 Jun → |
Match data via Leetify.
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