Trippleballs — CS2 Stats
76561198269466164[U:1:309200436]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 53.5% | 52.8% | meets |
| Shot accuracy | 5.8% | 13.7% | 7.9% short |
| Kill/death ratio | 1.16 | 1.08 | above |
| Match win rate | 55.0% | 49.2% | above |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 94% playstyle similarity
Most alike: opening-duel success, positioning 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
Areas to improve
Reaction time. 559ms 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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 20 | 13–7 | 65% | 0.00 | |
| A | 20 | 11–9 | 55% | 0.01 | |
| B | 19 | 10–9 | 53% | 0.01 | |
| B | 12 | 6–6 | 50% | 0.02 | |
| B | 11 | 5–6 | 45% | 0.01 | |
| C | 10 | 4–6 | 40% | 0.02 | |
| A | 7 | 4–3 | 57% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 127 | 53% | 1.11 | 15.6 |
| Anubis | 78 | 49% | 1.23 | 16.6 |
| Dust2 | 72 | 60% | 1.31 | 17.0 |
| Vertigo | 64 | 59% | 1.23 | 17.9 |
| Ancient | 63 | 44% | 1.24 | 16.3 |
| Nuke | 51 | 55% | 1.43 | 19.2 |
| Inferno | 43 | 53% | 1.20 | 17.5 |
| Cache | 18 | 50% | 1.16 | 15.7 |
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 33.962% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.01 | 17% | 26 Aug → | ||
| 5–13 | -0.02 | 40% | 26 Aug → | ||
| 7–13 | -0.00 | 15% | 26 Aug → | ||
| 6–13 | -0.04 | 24% | 26 Aug → | ||
| 13–11 | 0.04 | 20% | 25 Aug → | ||
| 5–13 | 0.05 | 29% | 25 Aug → | ||
| 11–13 | 0.05 | 23% | 22 Aug → | ||
| 13–7 | 0.08 | 22% | 19 Aug → | ||
| 10–13 | -0.03 | 14% | 19 Aug → | ||
| 13–9 | 0.01 | 13% | 18 Aug → | ||
| 13–8 | 0.04 | 19% | 16 Aug → | ||
| 13–4 | -0.02 | 15% | 16 Aug → | ||
| 7–13 | -0.02 | 28% | 12 Aug → | ||
| 16–14 | 0.02 | 15% | 12 Aug → | ||
| 11–13 | 0.05 | 31% | 4 Aug → | ||
| 11–13 | -0.02 | 26% | 4 Aug → | ||
| 9–13 | -0.02 | 16% | 28 Jul → | ||
| 6–1 | 0.02 | 44% | 28 Jul → | ||
| 13–11 | 0.01 | 19% | 28 Jul → | ||
| 4–13 | -0.08 | 27% | 25 Jul → | ||
| 6–13 | 0.01 | 26% | 25 Jul → | ||
| 13–16 | 0.02 | 18% | 25 Jul → | ||
| 8–13 | 0.06 | 16% | 22 Jul → | ||
| 10–13 | -0.07 | 29% | 22 Jul → | ||
| 13–4 | 0.04 | 36% | 21 Jul → | ||
| 13–11 | 0.06 | 23% | 21 Jul → | ||
| 13–5 | 0.07 | 30% | 18 Jul → | ||
| 13–4 | 0.04 | 19% | 17 Jul → | ||
| 16–12 | 0.04 | 26% | 17 Jul → | ||
| 13–10 | -0.04 | 26% | 17 Jul → | ||
| 13–11 | 0.04 | 14% | 14 Jul → | ||
| 13–8 | 0.02 | 21% | 14 Jul → | ||
| 13–8 | -0.03 | 14% | 14 Jul → | ||
| 13–7 | 0.03 | 27% | 14 Jul → | ||
| 13–9 | 0.08 | 31% | 14 Jul → | ||
| 13–5 | -0.01 | 13% | 14 Jul → | ||
| 13–6 | -0.02 | 19% | 13 Jul → | ||
| 11–13 | -0.02 | 12% | 13 Jul → | ||
| 12–16 | -0.04 | 14% | 7 Jul → | ||
| 8–13 | -0.02 | 17% | 2 Jul → | ||
| 16–14 | 0.05 | 23% | 25 Jun → | ||
| 4–13 | -0.01 | 21% | 22 Jun → | ||
| 13–6 | 0.05 | 14% | 17 Jun → | ||
| 13–4 | 0.04 | 33% | 16 Jun → | ||
| 11–13 | 0.02 | 18% | 16 Jun → | ||
| 8–13 | -0.01 | 16% | 16 Jun → | ||
| 13–7 | 0.04 | 21% | 15 Jun → | ||
| 28–25 | 0.00 | 24% | 15 Jun → | ||
| 9–13 | 0.03 | 23% | 14 Jun → | ||
| 8–13 | 0.02 | 27% | 14 Jun → | ||
| 13–9 | 0.06 | 17% | 14 Jun → | ||
| 7–13 | -0.01 | 15% | 14 Jun → | ||
| 13–9 | 0.00 | 29% | 14 Jun → | ||
| 9–13 | -0.05 | 16% | 10 Jun → | ||
| 9–13 | -0.03 | 22% | 10 Jun → | ||
| 5–13 | -0.01 | 17% | 10 Jun → | ||
| 13–3 | 0.08 | 18% | 9 Jun → | ||
| 8–13 | 0.01 | 19% | 9 Jun → | ||
| 13–11 | 0.02 | 21% | 9 Jun → | ||
| 13–9 | 0.03 | 17% | 9 Jun → | ||
| 13–8 | 0.11 | 23% | 9 Jun → | ||
| 13–6 | 0.05 | 13% | 9 Jun → | ||
| 13–11 | 0.01 | 13% | 9 Jun → | ||
| 9–13 | -0.01 | 30% | 5 Jun → | ||
| 11–13 | 0.03 | 23% | 5 Jun → | ||
| 13–9 | 0.04 | 25% | 5 Jun → | ||
| 14–16 | -0.04 | 24% | 5 Jun → | ||
| 13–3 | 0.07 | 23% | 2 Jun → | ||
| 10–13 | 0.02 | 27% | 2 Jun → | ||
| 9–13 | -0.01 | 20% | 2 Jun → | ||
| 0–13 | -0.04 | 0% | 2 Jun → | ||
| 0–4 | -0.01 | 0% | 2 Jun → | ||
| 13–9 | 0.00 | 27% | 2 Jun → | ||
| 13–4 | 0.14 | 22% | 1 Jun → | ||
| 13–5 | 0.01 | 17% | 1 Jun → | ||
| 10–13 | -0.07 | 11% | 1 Jun → | ||
| 1–5 | -0.05 | 8% | 1 Jun → | ||
| 13–10 | -0.01 | 17% | 1 Jun → | ||
| 10–13 | 0.02 | 21% | 31 May → | ||
| 13–8 | -0.00 | 15% | 31 May → | ||
| 13–11 | 0.01 | 23% | 31 May → | ||
| 13–7 | 0.04 | 29% | 31 May → | ||
| 13–3 | 0.06 | 29% | 31 May → | ||
| 3–13 | -0.10 | 19% | 29 May → | ||
| 5–13 | -0.05 | 12% | 29 May → | ||
| 13–9 | 0.04 | 21% | 29 May → | ||
| 15–15 | 0.03 | 30% | 27 May → | ||
| 8–13 | 0.05 | 15% | 27 May → | ||
| 16–14 | 0.01 | 25% | 27 May → | ||
| 10–13 | 0.01 | 25% | 27 May → | ||
| 13–4 | 0.07 | 28% | 26 May → | ||
| 16–14 | 0.03 | 25% | 26 May → | ||
| 13–8 | -0.02 | 20% | 25 May → | ||
| 7–13 | -0.05 | 43% | 25 May → | ||
| 13–7 | -0.00 | 27% | 24 May → | ||
| 13–2 | 0.04 | 8% | 24 May → | ||
| 13–11 | 0.06 | 24% | 24 May → | ||
| 11–13 | 0.03 | 17% | 18 May → | ||
| 6–13 | -0.05 | 24% | 16 May → | ||
| 13–11 | 0.04 | 21% | 16 May → |
Match data via Leetify.