Mailman bOOf — CS2 Stats
76561198037196108[U:1:76930380]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.01 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Strong CT-side openerEffective 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 77% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
Strengths
Flashes. 0.83 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 637ms 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 4.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 16 | 7–9 | 44% | -0.02 | |
| D | 14 | 4–10 | 29% | -0.03 | |
| D | 13 | 3–10 | 23% | -0.03 | |
| D | 12 | 4–8 | 33% | -0.00 | |
| B | 11 | 5–6 | 45% | 0.00 | |
| C | 11 | 4–7 | 36% | -0.02 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| boulder | — | 4 | 2–2 | 50% | 0.01 |
| — | 3 | 1–2 | 33% | 0.01 | |
| fachwerk | — | 3 | 1–2 | 33% | -0.05 |
| — | 2 | 1–1 | 50% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 14 | 64% | 0.86 | 12.1 |
| Nuke | 11 | 64% | 1.00 | 14.8 |
| Vertigo | 9 | 33% | 0.67 | 11.1 |
| Ancient | 7 | 29% | 0.65 | 11.7 |
| Overpass | 5 | 80% | 0.69 | 16.8 |
| Inferno | 3 | 100% | 1.03 | 15.0 |
| Mirage | 1 | 0% | 0.61 | 11.0 |
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.
- 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 9.9145% — 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 22.8824% — 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.
23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 0–13 | -0.02 | 11% | 8 Aug → | ||
| 12–12 | -0.09 | 4% | 6 Aug → | ||
| 13–8 | -0.00 | 10% | 4 Aug → | ||
| 2–13 | -0.10 | 9% | 4 Aug → | ||
| boulder | 13–4 | 0.01 | 10% | 4 Aug → | |
| 13–7 | -0.03 | 14% | 3 Aug → | ||
| 13–3 | -0.06 | 23% | 3 Aug → | ||
| 8–13 | -0.10 | 9% | 28 Jul → | ||
| 12–12 | 0.01 | 13% | 28 Jul → | ||
| 13–10 | 0.06 | 6% | 24 Jul → | ||
| 10–13 | -0.00 | 11% | 24 Jul → | ||
| 13–7 | -0.09 | 4% | 19 Jul → | ||
| boulder | 11–13 | 0.02 | 7% | 19 Jul → | |
| 12–12 | -0.01 | 14% | 19 Jul → | ||
| 5–13 | -0.00 | 16% | 19 Jul → | ||
| 5–13 | -0.06 | 11% | 19 Jul → | ||
| 11–13 | 0.01 | 6% | 18 Jul → | ||
| 6–13 | -0.09 | 8% | 18 Jul → | ||
| 13–3 | 0.05 | 9% | 18 Jul → | ||
| 5–13 | -0.04 | 9% | 18 Jul → | ||
| 12–12 | -0.01 | 10% | 14 Jul → | ||
| 13–10 | -0.01 | 11% | 14 Jul → | ||
| fachwerk | 10–13 | -0.06 | 12% | 14 Jul → | |
| boulder | 13–10 | 0.02 | 10% | 14 Jul → | |
| 8–13 | -0.01 | 3% | 9 Jul → | ||
| 10–13 | -0.04 | 21% | 9 Jul → | ||
| 10–13 | -0.01 | 8% | 9 Jul → | ||
| 11–13 | -0.06 | 9% | 9 Jul → | ||
| fachwerk | 6–13 | -0.04 | 4% | 9 Jul → | |
| boulder | 3–13 | -0.02 | 7% | 9 Jul → | |
| fachwerk | 5–2 | -0.03 | 29% | 9 Jul → | |
| 7–13 | -0.02 | 19% | 5 Jul → | ||
| 8–13 | -0.03 | 19% | 5 Jul → | ||
| 13–9 | -0.01 | 6% | 5 Jul → | ||
| 13–6 | 0.04 | 22% | 5 Jul → | ||
| 13–6 | 0.01 | 9% | 5 Jul → | ||
| 7–13 | 0.00 | 10% | 4 Jul → | ||
| 5–13 | -0.06 | 6% | 4 Jul → | ||
| 13–11 | -0.07 | 6% | 3 Jul → | ||
| 3–13 | -0.11 | 0% | 2 Jul → | ||
| 13–10 | -0.09 | 5% | 2 Jul → | ||
| 11–13 | -0.09 | 4% | 2 Jul → | ||
| 13–6 | 0.08 | 8% | 30 Jun → | ||
| 9–13 | 0.03 | 14% | 30 Jun → | ||
| 12–12 | -0.05 | 20% | 27 Jun → | ||
| 13–3 | 0.05 | 14% | 27 Jun → | ||
| 12–12 | 0.02 | 8% | 27 Jun → | ||
| 4–13 | -0.05 | 14% | 19 Jun → | ||
| 13–7 | -0.01 | 12% | 19 Jun → | ||
| 13–3 | 0.03 | 6% | 18 Jun → | ||
| 13–10 | 0.03 | 10% | 18 Jun → | ||
| 3–13 | -0.08 | 14% | 18 Jun → | ||
| 8–13 | -0.09 | 13% | 18 Jun → | ||
| 4–13 | -0.07 | 6% | 16 Jun → | ||
| 13–10 | 0.04 | 11% | 16 Jun → | ||
| 10–13 | 0.02 | 6% | 14 Jun → | ||
| 13–4 | 0.00 | 12% | 14 Jun → | ||
| 4–13 | -0.10 | 9% | 14 Jun → | ||
| 13–7 | 0.02 | 15% | 14 Jun → | ||
| 6–13 | -0.04 | 7% | 14 Jun → | ||
| 13–4 | 0.04 | 16% | 14 Jun → | ||
| 10–13 | 0.02 | 7% | 14 Jun → | ||
| 6–13 | 0.06 | 12% | 14 Jun → | ||
| 12–12 | -0.04 | 15% | 14 Jun → | ||
| 13–9 | -0.02 | 10% | 14 Jun → | ||
| 4–13 | -0.01 | 2% | 14 Jun → | ||
| 6–13 | 0.02 | 9% | 14 Jun → | ||
| 9–0 | -0.00 | 11% | 14 Jun → | ||
| 12–12 | -0.02 | 6% | 14 Jun → | ||
| 13–8 | 0.08 | 12% | 13 Jun → | ||
| 0–12 | -0.10 | 15% | 13 Jun → | ||
| 6–13 | 0.01 | 4% | 13 Jun → | ||
| 1–13 | -0.05 | 7% | 13 Jun → | ||
| 8–13 | -0.03 | 7% | 13 Jun → | ||
| 2–13 | -0.09 | 10% | 13 Jun → | ||
| 10–13 | -0.09 | 19% | 12 Jun → | ||
| 12–12 | -0.02 | 5% | 12 Jun → | ||
| 11–13 | -0.01 | 8% | 12 Jun → | ||
| 8–13 | -0.04 | 12% | 12 Jun → | ||
| 13–8 | 0.04 | 6% | 10 Jun → | ||
| 13–7 | 0.05 | 3% | 10 Jun → | ||
| 13–6 | 0.02 | 11% | 10 Jun → | ||
| 13–1 | 0.07 | 7% | 10 Jun → | ||
| 5–13 | -0.07 | 7% | 10 Jun → | ||
| 12–12 | -0.00 | 10% | 8 Jun → | ||
| 13–3 | -0.01 | 11% | 7 Jun → | ||
| 6–13 | -0.01 | 14% | 7 Jun → | ||
| 5–13 | -0.03 | 5% | 7 Jun → | ||
| 3–13 | -0.01 | 4% | 7 Jun → | ||
| 13–10 | 0.02 | 12% | 7 Jun → | ||
| 12–12 | -0.03 | 15% | 7 Jun → | ||
| 13–2 | 0.04 | 4% | 7 Jun → | ||
| 12–12 | -0.05 | 11% | 7 Jun → | ||
| 13–7 | 0.06 | 12% | 7 Jun → | ||
| 5–13 | -0.06 | 9% | 7 Jun → | ||
| 3–13 | 0.07 | 13% | 7 Jun → | ||
| 13–11 | 0.10 | 3% | 6 Jun → | ||
| 8–13 | -0.01 | 10% | 5 Jun → | ||
| 13–5 | -0.03 | 7% | 3 Jun → | ||
| 13–1 | -0.05 | 5% | 3 Jun → |
Match data via Leetify.