ponter — CS2 Stats
PROBounty HuntersBrazilRiflerSettings & gear profile →
76561198161674889[U:1:201409161]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.00 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Sharp aimerExcellent counter-strafing
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 89% playstyle similarity
Most alike: aim profile, utility contribution.
Where you differ: lower positioning profile; lower 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 91 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 45 points — deaths here waste a strong aim profile.
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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 21 | 14–7 | 67% | 0.02 | |
| A | 21 | 13–8 | 62% | 0.03 | |
| C | 18 | 7–11 | 39% | 0.00 | |
| S | 18 | 15–3 | 83% | 0.01 | |
| S | 12 | 8–4 | 67% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.06 | |
| office | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 567 | 62% | 1.32 | 17.0 |
| Dust2 | 312 | 60% | 1.42 | 17.3 |
| Ancient | 277 | 62% | 1.39 | 16.7 |
| Nuke | 165 | 61% | 1.27 | 15.7 |
| Anubis | 164 | 61% | 1.38 | 16.9 |
| Inferno | 32 | 38% | 1.00 | 13.8 |
| Vertigo | 27 | 59% | 1.47 | 19.9 |
| Train | 15 | 67% | 1.29 | 17.3 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 26.3493% — 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.
39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.03 | 19% | 27 Aug → | ||
| 4–13 | -0.08 | 14% | 27 Aug → | ||
| 2–9 | -0.02 | 38% | 26 Aug → | ||
| 6–5 | 0.06 | 38% | 26 Aug → | ||
| 10–13 | -0.03 | 24% | 26 Aug → | ||
| 13–5 | 0.04 | 28% | 25 Aug → | ||
| 13–6 | -0.02 | 36% | 25 Aug → | ||
| 7–13 | -0.03 | 18% | 30 Jul → | ||
| 13–6 | 0.06 | 23% | 30 Jul → | ||
| 4–13 | -0.00 | 38% | 30 Jul → | ||
| 13–5 | 0.06 | 28% | 28 Jul → | ||
| 10–13 | -0.04 | 28% | 28 Jul → | ||
| 10–13 | -0.02 | 24% | 28 Jul → | ||
| 13–1 | 0.12 | 25% | 26 Jul → | ||
| 7–13 | -0.12 | 25% | 21 Jul → | ||
| 13–10 | 0.03 | 19% | 21 Jul → | ||
| 13–10 | 0.04 | 23% | 16 Jul → | ||
| 13–5 | -0.02 | 19% | 16 Jul → | ||
| 13–11 | 0.00 | 21% | 15 Jul → | ||
| 7–13 | -0.01 | 13% | 15 Jul → | ||
| 16–14 | 0.01 | 21% | 15 Jul → | ||
| 13–5 | 0.14 | 35% | 12 Jul → | ||
| 13–6 | 0.11 | 32% | 12 Jul → | ||
| 13–7 | 0.12 | 24% | 12 Jul → | ||
| 13–8 | 0.00 | 25% | 11 Jul → | ||
| 7–13 | -0.07 | 7% | 11 Jul → | ||
| 11–13 | -0.01 | 19% | 11 Jul → | ||
| 9–13 | -0.03 | 16% | 10 Jul → | ||
| 11–13 | -0.02 | 23% | 10 Jul → | ||
| 7–13 | -0.04 | 24% | 9 Jul → | ||
| 13–10 | 0.00 | 28% | 9 Jul → | ||
| 13–10 | -0.01 | 33% | 9 Jul → | ||
| 16–14 | -0.02 | 30% | 8 Jul → | ||
| 13–9 | -0.01 | 42% | 8 Jul → | ||
| 13–11 | -0.03 | 24% | 8 Jul → | ||
| 10–13 | -0.04 | 25% | 8 Jul → | ||
| 13–9 | 0.01 | 14% | 8 Jul → | ||
| 13–10 | 0.13 | 37% | 28 Jun → | ||
| 13–6 | 0.02 | 26% | 28 Jun → | ||
| 8–13 | -0.07 | 15% | 27 Jun → | ||
| 9–13 | -0.02 | 17% | 27 Jun → | ||
| 13–9 | 0.05 | 28% | 23 Jun → | ||
| 13–7 | 0.14 | 45% | 22 Jun → | ||
| 13–3 | 0.18 | 25% | 17 Jun → | ||
| 13–4 | 0.08 | 30% | 6 Jun → | ||
| 13–5 | 0.03 | 34% | 29 May → | ||
| 4–13 | -0.04 | 32% | 29 May → | ||
| 2–13 | -0.04 | 36% | 29 May → | ||
| 13–2 | 0.05 | 33% | 28 May → | ||
| 13–9 | 0.04 | 38% | 27 May → | ||
| 13–6 | 0.09 | 31% | 24 May → | ||
| 13–5 | 0.06 | 17% | 24 May → | ||
| 13–10 | 0.04 | 20% | 24 May → | ||
| 13–4 | 0.04 | 23% | 22 May → | ||
| 10–13 | -0.03 | 36% | 22 May → | ||
| 13–8 | 0.00 | 28% | 22 May → | ||
| 6–13 | -0.08 | 20% | 21 May → | ||
| 8–13 | -0.04 | 11% | 21 May → | ||
| 13–2 | 0.05 | 17% | 21 May → | ||
| 13–1 | 0.02 | 26% | 17 May → | ||
| 3–13 | -0.07 | 30% | 17 May → | ||
| 13–6 | 0.07 | 26% | 15 May → | ||
| 5–13 | -0.02 | 15% | 15 May → | ||
| 3–13 | -0.02 | 21% | 15 May → | ||
| 9–13 | -0.04 | 14% | 13 May → | ||
| 13–2 | 0.07 | 35% | 13 May → | ||
| 13–7 | -0.03 | 27% | 13 May → | ||
| 13–8 | 0.00 | 31% | 12 May → | ||
| 13–1 | 0.08 | 29% | 12 May → | ||
| 13–3 | 0.06 | 25% | 11 May → | ||
| 5–13 | -0.00 | 37% | 10 May → | ||
| 13–1 | 0.02 | 8% | 10 May → | ||
| office | 5–13 | 0.01 | 31% | 10 May → | |
| 13–4 | 0.11 | 19% | 10 May → | ||
| 13–3 | 0.09 | 22% | 10 May → | ||
| 7–13 | -0.03 | 25% | 10 May → | ||
| 13–5 | -0.01 | 18% | 10 May → | ||
| 7–13 | -0.03 | 31% | 10 May → | ||
| 13–6 | 0.09 | 36% | 9 May → | ||
| 9–14 | 0.04 | 23% | 9 May → | ||
| 9–13 | -0.04 | 25% | 9 May → | ||
| 13–6 | -0.01 | 25% | 8 May → | ||
| 14–16 | 0.03 | 22% | 8 May → | ||
| 16–14 | -0.01 | 34% | 8 May → | ||
| 9–0 | 0.01 | 21% | 7 May → | ||
| 13–5 | 0.05 | 28% | 7 May → | ||
| 8–13 | 0.03 | 16% | 7 May → | ||
| 13–4 | 0.04 | 29% | 4 May → | ||
| 13–7 | 0.04 | 24% | 4 May → | ||
| 13–10 | -0.05 | 21% | 4 May → | ||
| 9–13 | -0.07 | 30% | 4 May → | ||
| 9–13 | 0.02 | 24% | 4 May → | ||
| 13–10 | -0.01 | 20% | 2 May → | ||
| 13–9 | 0.04 | 34% | 2 May → | ||
| 13–7 | 0.01 | 22% | 2 May → | ||
| 10–13 | 0.05 | 19% | 2 May → | ||
| 11–13 | -0.05 | 19% | 2 May → | ||
| 13–6 | -0.02 | 16% | 1 May → | ||
| 6–13 | 0.04 | 37% | 1 May → | ||
| 13–5 | 0.04 | 32% | 1 May → |
Match data via Leetify.