Topanga Jenga — CS2 Stats
76561198966666725[U:1:1006400997]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 36.2% | 44.1% | 47.2% | 11.0% short |
| Shot accuracy | 2.2% | 11.4% | 12.7% | 10.5% short |
| Kill/death ratio | 0.89 | 1.03 | 1.09 | 0.19 short |
| Match win rate | 46.7% | 45.2% | 46.6% | meets |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band 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: +70pp win rate · -0.04 avg rating
Player DNA
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 b1t 88% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Areas to improve
Reaction time. 616ms 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 5.5/10 (Solid), 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 |
|---|---|---|---|---|---|
 inferno | C | 26 | 9–17 | 35% | -0.01 |
 cache | B | 24 | 13–11 | 54% | -0.00 |
 ancient | A | 20 | 12–8 | 60% | -0.00 |
 anubis | A | 14 | 8–6 | 57% | 0.00 |
 nuke | S | 9 | 6–3 | 67% | 0.01 |
 vertigo | — | 3 | 0–3 | 0% | -0.02 |
 train | — | 2 | 0–2 | 0% | -0.01 |
 mirage | — | 1 | 1–0 | 100% | -0.09 |
 dust2 | — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (35% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 37 | 54% | 0.98 | 13.9 |
| Inferno | 29 | 45% | 0.80 | 12.9 |
| Anubis | 27 | 59% | 0.90 | 12.8 |
| Cache | 10 | 70% | 0.91 | 13.2 |
| Nuke | 9 | 56% | 0.93 | 14.9 |
| Dust2 | 9 | 33% | 0.70 | 10.6 |
| Mirage | 3 | 33% | 0.60 | 8.7 |
| Train | 2 | 50% | 0.95 | 18.5 |
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 12.7953% — below the 15% 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 37.6251% — 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.
35% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–9 | -0.01 | 20% | 28 Aug → | |
| inferno | 9–13 | -0.06 | 11% | 28 Aug → | |
| mirage | 13–8 | -0.09 | 15% | 27 Aug → | |
| anubis | 13–10 | -0.00 | 13% | 27 Aug → | |
| inferno | 12–16 | -0.04 | 12% | 21 Aug → | |
| ancient | 13–11 | -0.06 | 5% | 21 Aug → | |
| cache | 16–13 | 0.01 | 15% | 19 Aug → | |
| dust2 | 13–8 | -0.00 | 28% | 19 Aug → | |
| ancient | 13–7 | -0.03 | 13% | 19 Aug → | |
| inferno | 7–13 | -0.04 | 3% | 18 Aug → | |
| ancient | 10–13 | 0.01 | 11% | 18 Aug → | |
| nuke | 13–16 | -0.05 | 13% | 18 Aug → | |
| inferno | 11–13 | -0.04 | 5% | 18 Aug → | |
| cache | 12–12 | 0.01 | 18% | 15 Aug → | |
| vertigo | 1–13 | 0.01 | 12% | 15 Aug → | |
| inferno | 2–13 | 0.04 | 13% | 15 Aug → | |
| cache | 8–13 | 0.00 | 19% | 13 Aug → | |
| anubis | 10–13 | 0.02 | 9% | 13 Aug → | |
| inferno | 6–13 | -0.04 | 5% | 13 Aug → | |
| cache | 12–12 | 0.08 | 10% | 12 Aug → | |
| nuke | 13–11 | 0.02 | 13% | 12 Aug → | |
| inferno | 13–10 | 0.04 | 15% | 12 Aug → | |
| inferno | 13–4 | 0.11 | 19% | 11 Aug → | |
| cache | 13–11 | 0.02 | 16% | 11 Aug → | |
| ancient | 13–10 | -0.02 | 15% | 11 Aug → | |
| train | 8–13 | 0.02 | 14% | 8 Aug → | |
| vertigo | 12–12 | 0.00 | 5% | 8 Aug → | |
| ancient | 12–12 | -0.01 | 17% | 8 Aug → | |
| cache | 7–13 | 0.01 | 13% | 8 Aug → | |
| anubis | 7–13 | 0.01 | 11% | 7 Aug → | |
| anubis | 3–13 | -0.08 | 11% | 7 Aug → | |
| vertigo | 8–13 | -0.07 | 10% | 6 Aug → | |
| train | 11–13 | -0.03 | 13% | 6 Aug → | |
| nuke | 13–6 | -0.00 | 20% | 6 Aug → | |
| cache | 13–8 | 0.01 | 16% | 6 Aug → | |
| inferno | 11–13 | -0.05 | 19% | 6 Aug → | |
| anubis | 4–13 | -0.02 | 18% | 6 Aug → | |
| nuke | 13–5 | 0.06 | 11% | 6 Aug → | |
| inferno | 11–13 | -0.03 | 12% | 6 Aug → | |
| ancient | 10–13 | -0.04 | 6% | 6 Aug → | |
| ancient | 13–8 | 0.01 | 12% | 6 Aug → | |
| cache | 1–13 | -0.07 | 8% | 6 Aug → | |
| nuke | 16–13 | 0.03 | 15% | 5 Aug → | |
| cache | 11–13 | -0.04 | 6% | 5 Aug → | |
| ancient | 13–11 | 0.00 | 15% | 5 Aug → | |
| inferno | 2–13 | -0.02 | 12% | 5 Aug → | |
| cache | 15–15 | -0.01 | 13% | 5 Aug → | |
| inferno | 13–5 | 0.02 | 15% | 5 Aug → | |
| ancient | 11–13 | 0.01 | 8% | 4 Aug → | |
| inferno | 13–7 | 0.02 | 9% | 4 Aug → | |
| anubis | 13–2 | 0.03 | 12% | 4 Aug → | |
| ancient | 11–13 | 0.04 | 21% | 4 Aug → | |
| ancient | 13–7 | -0.00 | 9% | 3 Aug → | |
| anubis | 4–13 | -0.03 | 14% | 3 Aug → | |
| cache | 13–10 | 0.07 | 17% | 3 Aug → | |
| cache | 13–10 | -0.00 | 4% | 3 Aug → | |
| anubis | 13–5 | 0.05 | 9% | 3 Aug → | |
| nuke | 8–13 | 0.00 | 14% | 2 Aug → | |
| ancient | 6–13 | -0.00 | 21% | 2 Aug → | |
| cache | 13–10 | 0.01 | 15% | 2 Aug → | |
| ancient | 11–13 | 0.04 | 18% | 2 Aug → | |
| inferno | 8–8 | -0.00 | 16% | 2 Aug → | |
| inferno | 3–9 | -0.15 | 16% | 2 Aug → | |
| cache | 13–10 | 0.02 | 19% | 1 Aug → | |
| anubis | 13–4 | -0.00 | 24% | 1 Aug → | |
| inferno | 13–8 | 0.04 | 22% | 1 Aug → | |
| anubis | 13–7 | 0.03 | 15% | 1 Aug → | |
| nuke | 13–8 | 0.00 | 16% | 30 Jul → | |
| inferno | 13–10 | 0.10 | 21% | 30 Jul → | |
| ancient | 13–9 | 0.07 | 20% | 30 Jul → | |
| inferno | 13–5 | -0.06 | 14% | 30 Jul → | |
| anubis | 8–13 | -0.04 | 10% | 30 Jul → | |
| cache | 13–5 | -0.10 | 15% | 29 Jul → | |
| inferno | 13–16 | -0.02 | 13% | 28 Jul → | |
| cache | 13–2 | 0.06 | 9% | 28 Jul → | |
| anubis | 13–4 | 0.06 | 9% | 28 Jul → | |
| cache | 15–15 | -0.02 | 13% | 28 Jul → | |
| cache | 6–13 | -0.04 | 11% | 28 Jul → | |
| inferno | 10–13 | -0.02 | 15% | 28 Jul → | |
| nuke | 8–13 | -0.02 | 10% | 28 Jul → | |
| cache | 11–13 | 0.01 | 21% | 28 Jul → | |
| inferno | 6–13 | -0.04 | 11% | 27 Jul → | |
| cache | 13–9 | -0.07 | 10% | 27 Jul → | |
| inferno | 7–13 | -0.08 | 12% | 27 Jul → | |
| ancient | 13–7 | -0.04 | 15% | 27 Jul → | |
| cache | 13–8 | 0.07 | 22% | 27 Jul → | |
| ancient | 8–13 | -0.06 | 10% | 24 Jul → | |
| inferno | 8–13 | -0.04 | 15% | 24 Jul → | |
| cache | 13–9 | -0.02 | 12% | 24 Jul → | |
| cache | 5–13 | -0.09 | 7% | 24 Jul → | |
| ancient | 13–8 | 0.05 | 5% | 24 Jul → | |
| ancient | 13–11 | 0.00 | 12% | 23 Jul → | |
| anubis | 16–13 | 0.02 | 15% | 23 Jul → | |
| anubis | 13–11 | -0.04 | 9% | 23 Jul → | |
| ancient | 13–7 | -0.01 | 8% | 23 Jul → | |
| inferno | 13–10 | -0.02 | 16% | 23 Jul → | |
| nuke | 13–6 | 0.01 | 11% | 23 Jul → | |
| ancient | 13–9 | -0.00 | 16% | 22 Jul → | |
| cache | 13–2 | 0.04 | 9% | 22 Jul → | |
| inferno | 6–13 | 0.01 | 13% | 22 Jul → |
Match data via Leetify.