CPO1 Tufts — CS2 Stats
CA76561198089676137[U:1:129410409]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 41.9% | 46.2% | 47.2% | 5.3% short |
| Shot accuracy | 18.5% | 12.5% | 12.3% | above |
| Kill/death ratio | 1.18 | 1.06 | 1.07 | above |
| Match win rate | 45.4% | 45.9% | 46.3% | 1.0% short |
This profile matches the typical Level 8 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 8 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: +30pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ZywOo 92% playstyle similarity
Most alike: utility contribution, positioning profile.
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. 570ms 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 6.9/10 (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 |
|---|---|---|---|---|---|
 dust2 | A | 20 | 11–9 | 55% | 0.05 |
 inferno | A | 18 | 11–7 | 61% | 0.02 |
 nuke | B | 14 | 7–7 | 50% | 0.02 |
 ancient | C | 12 | 5–7 | 42% | -0.03 |
 mirage | A | 9 | 5–4 | 56% | 0.05 |
 cache | S | 7 | 5–2 | 71% | 0.01 |
 train | S | 6 | 4–2 | 67% | -0.00 |
 overpass | S | 6 | 5–1 | 83% | 0.04 |
 anubis | D | 5 | 1–4 | 20% | 0.00 |
 vertigo | — | 2 | 1–1 | 50% | -0.01 |
| office | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 0% | 0.78 | 13.0 |
| Vertigo | 1 | 0% | 0.43 | 6.0 |
| Dust2 | 1 | 0% | 1.19 | 19.0 |
| Anubis | 1 | 0% | 0.46 | 6.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–11 | 0.06 | 17% | 25 Aug → | |
| nuke | 13–9 | 0.01 | 33% | 24 Aug → | |
| ancient | 13–8 | 0.08 | 25% | 24 Aug → | |
| dust2 | 13–2 | 0.07 | 46% | 24 Aug → | |
| cache | 13–11 | 0.07 | 27% | 23 Aug → | |
| dust2 | 13–8 | 0.09 | 34% | 23 Aug → | |
| nuke | 13–2 | 0.02 | 22% | 23 Aug → | |
| anubis | 13–6 | 0.02 | 18% | 22 Aug → | |
| mirage | 13–5 | 0.19 | 33% | 16 Aug → | |
| ancient | 6–13 | -0.02 | 22% | 16 Aug → | |
| dust2 | 13–10 | 0.09 | 38% | 15 Aug → | |
| train | 13–10 | 0.06 | 30% | 15 Aug → | |
| cache | 9–13 | 0.04 | 28% | 2 Aug → | |
| vertigo | 11–13 | 0.03 | 20% | 2 Aug → | |
| inferno | 13–5 | 0.11 | 34% | 2 Aug → | |
| inferno | 13–10 | 0.07 | 22% | 19 Jul → | |
| cache | 13–9 | -0.05 | 23% | 19 Jul → | |
| anubis | 11–13 | 0.04 | 16% | 19 Jul → | |
| cache | 9–13 | -0.01 | 19% | 19 Jul → | |
| inferno | 13–3 | 0.06 | 20% | 19 Jul → | |
| cache | 13–6 | -0.05 | 14% | 18 Jul → | |
| inferno | 9–6 | 0.04 | 23% | 18 Jul → | |
| train | 13–8 | 0.03 | 19% | 18 Jul → | |
| ancient | 4–13 | -0.10 | 0% | 1 Jun → | |
| ancient | 3–13 | -0.11 | 14% | 1 Jun → | |
| inferno | 1–13 | 0.01 | 20% | 1 Jun → | |
| cache | 13–8 | -0.06 | 12% | 10 May → | |
| cache | 13–10 | 0.09 | 16% | 9 May → | |
| nuke | 5–13 | -0.05 | 6% | 27 Apr → | |
| dust2 | 8–13 | 0.06 | 29% | 12 Apr → | |
| ancient | 13–8 | -0.02 | 7% | 12 Apr → | |
| vertigo | 13–6 | -0.05 | 24% | 12 Apr → | |
| anubis | 8–13 | 0.06 | 15% | 11 Apr → | |
| office | 8–13 | 0.00 | 20% | 28 Mar → | |
| mirage | 13–3 | 0.04 | 18% | 28 Mar → | |
| dust2 | 13–5 | 0.02 | 17% | 28 Mar → | |
| nuke | 13–3 | 0.11 | 27% | 15 Mar → | |
| nuke | 12–12 | -0.06 | 17% | 3 Mar → | |
| mirage | 13–10 | -0.03 | 24% | 2 Mar → | |
| inferno | 6–13 | -0.04 | 19% | 2 Mar → | |
| overpass | 9–13 | 0.01 | 10% | 22 Feb → | |
| ancient | 13–6 | 0.01 | 9% | 21 Feb → | |
| dust2 | 13–2 | 0.08 | 11% | 19 Feb → | |
| dust2 | 13–2 | 0.11 | 21% | 17 Feb → | |
| nuke | 13–0 | 0.03 | 12% | 17 Feb → | |
| nuke | 12–12 | 0.05 | 21% | 15 Feb → | |
| inferno | 13–11 | 0.02 | 19% | 15 Feb → | |
| inferno | 13–5 | 0.04 | 17% | 15 Feb → | |
| inferno | 13–7 | 0.04 | 17% | 15 Feb → | |
| inferno | 11–13 | 0.03 | 18% | 14 Feb → | |
| nuke | 7–13 | 0.06 | 16% | 14 Feb → | |
| dust2 | 13–10 | 0.05 | 16% | 10 Feb → | |
| mirage | 10–13 | 0.01 | 24% | 7 Feb → | |
| inferno | 13–10 | 0.02 | 21% | 28 Jan → | |
| dust2 | 9–13 | 0.04 | 16% | 28 Jan → | |
| nuke | 13–5 | 0.09 | 11% | 27 Jan → | |
| overpass | 13–10 | 0.03 | 15% | 26 Jan → | |
| mirage | 13–6 | 0.10 | 17% | 26 Jan → | |
| dust2 | 13–9 | 0.10 | 30% | 26 Jan → | |
| dust2 | 9–13 | 0.01 | 22% | 26 Jan → | |
| overpass | 13–10 | 0.10 | 17% | 26 Jan → | |
| nuke | 13–8 | 0.13 | 20% | 25 Jan → | |
| dust2 | 13–9 | 0.03 | 14% | 25 Jan → | |
| anubis | 9–13 | -0.06 | 9% | 24 Jan → | |
| overpass | 13–3 | 0.11 | 25% | 24 Jan → | |
| ancient | 10–13 | 0.02 | 14% | 24 Jan → | |
| dust2 | 12–12 | 0.03 | 16% | 24 Jan → | |
| anubis | 6–10 | -0.05 | 17% | 23 Jan → | |
| dust2 | 6–13 | 0.01 | 19% | 23 Jan → | |
| inferno | 13–9 | 0.01 | 8% | 22 Jan → | |
| nuke | 4–13 | -0.03 | 17% | 22 Jan → | |
| inferno | 7–13 | -0.11 | 29% | 22 Jan → | |
| mirage | 9–13 | -0.04 | 15% | 20 Jan → | |
| inferno | 11–13 | -0.02 | 24% | 20 Jan → | |
| ancient | 10–13 | -0.08 | 30% | 20 Jan → | |
| inferno | 3–13 | -0.05 | 29% | 20 Jan → | |
| ancient | 0–4 | -0.18 | 50% | 20 Jan → | |
| ancient | 8–9 | 0.01 | 38% | 20 Jan → | |
| train | 5–13 | -0.06 | 38% | 20 Jan → | |
| dust2 | 13–16 | 0.03 | 22% | 19 Jan → | |
| train | 13–8 | 0.00 | 17% | 15 Jan → | |
| inferno | 13–11 | 0.04 | 16% | 14 Jan → | |
| dust2 | 13–1 | 0.19 | 20% | 13 Jan → | |
| nuke | 9–13 | -0.04 | 15% | 13 Jan → | |
| inferno | 13–6 | 0.03 | 22% | 13 Jan → | |
| inferno | 9–13 | 0.06 | 27% | 12 Jan → | |
| nuke | 13–7 | 0.01 | 25% | 11 Jan → | |
| dust2 | 6–13 | -0.03 | 14% | 11 Jan → | |
| dust2 | 9–13 | 0.09 | 35% | 11 Jan → | |
| mirage | 5–13 | 0.01 | 38% | 10 Jan → | |
| dust2 | 6–13 | -0.09 | 18% | 10 Jan → | |
| mirage | 16–14 | 0.10 | 18% | 9 Jan → | |
| mirage | 9–13 | 0.04 | 18% | 8 Jan → | |
| overpass | 13–8 | 0.01 | 27% | 6 Jan → | |
| ancient | 13–10 | 0.02 | 15% | 5 Jan → | |
| train | 13–10 | -0.08 | 17% | 5 Jan → | |
| overpass | 13–11 | 0.00 | 21% | 2 Jan → | |
| dust2 | 13–7 | 0.01 | 21% | 2 Jan → | |
| train | 4–13 | 0.03 | 30% | 2 Jan → | |
| nuke | 14–16 | -0.01 | 14% | 2 Jan → |
Match data via Leetify.
