♗Archbishop Bartholomew Blowsock — CS2 Stats
CA76561197999710008[U:1:39444280]Steam profile ↗✓ No bans
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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
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 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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. 674ms 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 5.0/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 28 | 13–15 | 46% | -0.00 | |
| B | 20 | 10–10 | 50% | 0.02 | |
| B | 19 | 9–10 | 47% | -0.03 | |
| A | 11 | 6–5 | 55% | -0.01 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.00 | |
| — | 2 | 0–2 | 0% | -0.00 | |
| office | — | 1 | 0–1 | 0% | -0.03 |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 56 | 52% | 1.16 | 16.2 |
| Nuke | 33 | 58% | 1.19 | 16.5 |
| Anubis | 28 | 57% | 1.08 | 15.0 |
| Dust2 | 25 | 76% | 1.07 | 16.6 |
| Vertigo | 23 | 26% | 0.93 | 15.9 |
| Ancient | 15 | 33% | 1.17 | 15.0 |
| Mirage | 10 | 40% | 1.00 | 16.9 |
| Overpass | 1 | 0% | 0.89 | 17.0 |
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
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 37.5553% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.02 | 29% | 21 Jul → | ||
| 13–9 | -0.01 | 38% | 16 May → | ||
| 7–13 | 0.01 | 28% | 13 Apr → | ||
| 10–13 | -0.06 | 22% | 13 Apr → | ||
| 6–13 | 0.02 | 28% | 13 Apr → | ||
| 13–7 | -0.02 | 9% | 13 Apr → | ||
| 7–13 | 0.01 | 17% | 13 Apr → | ||
| 13–3 | 0.10 | 8% | 13 Apr → | ||
| 2–13 | -0.09 | 29% | 31 Mar → | ||
| 13–5 | 0.03 | 11% | 30 Mar → | ||
| 13–10 | -0.01 | 15% | 30 Mar → | ||
| 16–12 | -0.05 | 21% | 23 Mar → | ||
| 5–13 | -0.09 | 13% | 12 Mar → | ||
| 13–3 | -0.06 | 16% | 11 Mar → | ||
| 13–10 | 0.03 | 25% | 10 Mar → | ||
| 10–13 | 0.05 | 21% | 23 Feb → | ||
| 13–9 | -0.01 | 18% | 6 Feb → | ||
| 13–7 | 0.08 | 9% | 6 Feb → | ||
| 13–16 | 0.02 | 17% | 6 Feb → | ||
| 11–13 | 0.01 | 8% | 6 Feb → | ||
| 13–9 | 0.10 | 19% | 6 Feb → | ||
| 13–8 | 0.06 | 13% | 5 Feb → | ||
| 15–15 | -0.08 | 13% | 3 Feb → | ||
| 11–13 | -0.01 | 15% | 3 Feb → | ||
| 13–16 | -0.00 | 15% | 2 Feb → | ||
| 7–4 | 0.03 | 17% | 2 Feb → | ||
| 9–13 | -0.03 | 6% | 2 Feb → | ||
| 9–13 | -0.07 | 11% | 2 Feb → | ||
| 13–10 | 0.01 | 11% | 30 Jan → | ||
| 8–13 | 0.04 | 13% | 30 Jan → | ||
| 13–11 | 0.00 | 11% | 30 Jan → | ||
| 11–13 | -0.04 | 4% | 30 Jan → | ||
| 15–15 | -0.01 | 20% | 30 Jan → | ||
| 9–13 | -0.01 | 16% | 30 Jan → | ||
| 13–7 | 0.03 | 18% | 29 Jan → | ||
| 3–13 | -0.05 | 31% | 29 Jan → | ||
| 15–15 | -0.05 | 10% | 29 Jan → | ||
| 13–16 | 0.02 | 14% | 27 Jan → | ||
| 13–7 | 0.01 | 16% | 27 Jan → | ||
| 9–13 | -0.04 | 9% | 27 Jan → | ||
| 13–10 | 0.01 | 10% | 27 Jan → | ||
| 13–8 | 0.03 | 11% | 27 Jan → | ||
| 11–13 | -0.00 | 17% | 27 Jan → | ||
| 3–13 | -0.03 | 4% | 27 Jan → | ||
| 10–13 | -0.05 | 8% | 27 Jan → | ||
| 4–13 | -0.02 | 23% | 27 Jan → | ||
| 13–10 | -0.03 | 14% | 27 Jan → | ||
| 16–12 | 0.04 | 13% | 26 Jan → | ||
| 13–4 | 0.03 | 11% | 26 Jan → | ||
| 8–13 | 0.00 | 6% | 26 Jan → | ||
| 12–16 | 0.00 | 10% | 26 Jan → | ||
| 13–7 | 0.00 | 5% | 26 Jan → | ||
| 8–13 | 0.04 | 20% | 26 Jan → | ||
| 10–13 | -0.05 | 16% | 26 Jan → | ||
| 16–13 | -0.02 | 8% | 26 Jan → | ||
| 10–13 | -0.04 | 29% | 26 Jan → | ||
| 4–13 | -0.10 | 6% | 26 Jan → | ||
| 10–13 | 0.02 | 28% | 26 Jan → | ||
| 13–0 | 0.06 | 19% | 25 Jan → | ||
| 12–16 | 0.05 | 19% | 25 Jan → | ||
| 13–11 | -0.02 | 18% | 25 Jan → | ||
| 4–13 | -0.04 | 14% | 25 Jan → | ||
| 13–8 | -0.05 | 18% | 25 Jan → | ||
| 13–2 | 0.13 | 19% | 25 Jan → | ||
| 7–13 | 0.01 | 22% | 25 Jan → | ||
| 4–13 | -0.11 | 16% | 25 Jan → | ||
| 13–11 | 0.03 | 18% | 25 Jan → | ||
| 7–13 | -0.10 | 23% | 25 Jan → | ||
| 7–13 | -0.03 | 16% | 25 Jan → | ||
| 7–13 | -0.03 | 17% | 24 Jan → | ||
| 13–2 | 0.04 | 28% | 24 Jan → | ||
| 13–11 | 0.02 | 8% | 22 Jan → | ||
| 13–11 | 0.03 | 10% | 22 Jan → | ||
| 13–10 | 0.01 | 4% | 21 Jan → | ||
| 6–13 | -0.02 | 9% | 21 Jan → | ||
| 13–9 | 0.03 | 14% | 20 Jan → | ||
| 10–13 | 0.05 | 17% | 20 Jan → | ||
| office | 2–13 | -0.03 | 23% | 20 Jan → | |
| 8–13 | -0.11 | 12% | 19 Jan → | ||
| 13–5 | -0.03 | 13% | 19 Jan → | ||
| 6–13 | -0.04 | 13% | 19 Jan → | ||
| 13–10 | 0.01 | 14% | 19 Jan → | ||
| 6–13 | -0.06 | 19% | 19 Jan → | ||
| 13–8 | 0.01 | 11% | 19 Jan → | ||
| 13–6 | 0.08 | 22% | 19 Jan → | ||
| 13–10 | 0.03 | 16% | 16 Jan → | ||
| 13–9 | 0.08 | 20% | 16 Jan → | ||
| 15–15 | 0.02 | 17% | 16 Jan → | ||
| 15–15 | 0.06 | 20% | 16 Jan → | ||
| 11–13 | -0.08 | 18% | 16 Jan → | ||
| 16–14 | 0.01 | 13% | 15 Jan → | ||
| 13–6 | -0.09 | 9% | 15 Jan → | ||
| 8–13 | 0.06 | 20% | 15 Jan → | ||
| 13–6 | 0.00 | 16% | 15 Jan → | ||
| 7–13 | 0.01 | 26% | 15 Jan → | ||
| 13–6 | 0.03 | 16% | 15 Jan → | ||
| 13–6 | -0.03 | 16% | 15 Jan → | ||
| 9–13 | 0.01 | 18% | 15 Jan → | ||
| 13–2 | 0.02 | 16% | 15 Jan → | ||
| 9–13 | -0.04 | 12% | 14 Jan → |
Match data via Leetify.