mantispose — CS2 Stats
CX76561199223805810[U:1:1263540082]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 b1t 95% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 57% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 557ms 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 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 29 | 17–12 | 59% | 0.03 | |
| A | 20 | 11–9 | 55% | 0.01 | |
| A | 16 | 10–6 | 63% | 0.03 | |
| A | 14 | 8–6 | 57% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.04 | |
| D | 6 | 1–5 | 17% | -0.03 | |
| — | 2 | 2–0 | 100% | 0.12 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| poseidon | — | 1 | 0–1 | 0% | -0.18 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 724 | 49% | 1.21 | 16.8 |
| Ancient | 488 | 52% | 1.30 | 17.2 |
| Dust2 | 234 | 49% | 1.09 | 15.2 |
| Inferno | 221 | 51% | 1.34 | 18.3 |
| Anubis | 209 | 41% | 1.18 | 16.4 |
| Nuke | 172 | 50% | 1.24 | 17.7 |
| Vertigo | 135 | 53% | 1.55 | 21.2 |
| Overpass | 27 | 48% | 1.16 | 17.2 |
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 34.538% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.03 | 26% | 24 Aug → | ||
| 13–11 | 0.09 | 20% | 10 Aug → | ||
| 13–11 | 0.00 | 21% | 9 Aug → | ||
| 7–9 | -0.04 | 21% | 5 Aug → | ||
| 13–10 | 0.08 | 22% | 5 Aug → | ||
| 13–11 | 0.03 | 26% | 4 Aug → | ||
| 6–13 | -0.02 | 21% | 27 Jul → | ||
| 13–10 | 0.06 | 16% | 22 Jul → | ||
| 13–10 | -0.08 | 31% | 21 Jul → | ||
| 13–5 | 0.15 | 21% | 20 Jul → | ||
| 3–13 | -0.00 | 32% | 20 Jul → | ||
| 13–6 | 0.15 | 15% | 17 Jul → | ||
| 13–5 | 0.06 | 30% | 17 Jul → | ||
| 13–9 | 0.06 | 23% | 15 Jul → | ||
| 13–1 | 0.12 | 53% | 14 Jul → | ||
| 4–13 | -0.03 | 13% | 13 Jul → | ||
| 13–4 | 0.05 | 33% | 9 Jul → | ||
| 14–16 | 0.08 | 17% | 9 Jul → | ||
| 13–11 | -0.01 | 32% | 2 Jul → | ||
| 10–13 | -0.03 | 33% | 30 Jun → | ||
| 7–13 | -0.05 | 34% | 28 Jun → | ||
| 13–11 | 0.09 | 33% | 20 Jun → | ||
| 13–6 | 0.04 | 17% | 11 Jun → | ||
| 19–15 | -0.04 | 21% | 10 Jun → | ||
| 9–13 | -0.03 | 15% | 10 Jun → | ||
| 20–22 | 0.04 | 20% | 6 Jun → | ||
| 8–13 | -0.05 | 26% | 5 Jun → | ||
| 2–13 | -0.03 | 21% | 31 May → | ||
| 11–13 | 0.01 | 26% | 30 May → | ||
| 13–4 | -0.02 | 31% | 29 May → | ||
| 13–9 | 0.02 | 27% | 29 May → | ||
| 13–11 | -0.03 | 4% | 29 May → | ||
| 2–13 | -0.05 | 26% | 27 May → | ||
| 13–5 | -0.01 | 16% | 17 May → | ||
| 13–5 | -0.01 | 29% | 7 May → | ||
| 13–10 | 0.12 | 22% | 6 May → | ||
| 8–13 | -0.00 | 24% | 6 May → | ||
| 4–13 | -0.01 | 35% | 6 May → | ||
| 16–13 | 0.07 | 14% | 5 May → | ||
| 7–13 | -0.02 | 20% | 5 May → | ||
| 9–13 | 0.00 | 12% | 5 May → | ||
| 13–10 | 0.05 | 19% | 4 May → | ||
| 13–8 | 0.17 | 30% | 4 May → | ||
| 13–3 | 0.01 | 18% | 26 Apr → | ||
| 3–3 | -0.03 | 17% | 26 Apr → | ||
| 13–10 | 0.02 | 31% | 26 Apr → | ||
| 10–13 | 0.05 | 24% | 26 Apr → | ||
| 13–5 | 0.02 | 25% | 26 Apr → | ||
| 3–13 | -0.03 | 26% | 25 Apr → | ||
| 13–5 | 0.03 | 36% | 24 Apr → | ||
| 13–7 | 0.13 | 22% | 24 Apr → | ||
| 13–6 | 0.12 | 31% | 24 Apr → | ||
| 13–1 | 0.12 | 33% | 24 Apr → | ||
| 13–10 | -0.00 | 24% | 20 Apr → | ||
| 13–5 | -0.02 | 13% | 20 Apr → | ||
| 7–13 | -0.04 | 21% | 20 Apr → | ||
| 13–9 | 0.07 | 18% | 16 Apr → | ||
| 6–13 | -0.06 | 32% | 8 Apr → | ||
| 5–13 | 0.00 | 30% | 4 Apr → | ||
| 13–9 | 0.00 | 25% | 3 Apr → | ||
| 19–16 | 0.01 | 22% | 28 Mar → | ||
| 13–8 | 0.07 | 11% | 26 Mar → | ||
| 13–8 | 0.07 | 21% | 26 Mar → | ||
| 2–13 | -0.13 | 33% | 26 Mar → | ||
| 0–13 | -0.01 | 47% | 26 Mar → | ||
| 13–6 | 0.08 | 32% | 25 Mar → | ||
| 8–13 | -0.04 | 12% | 22 Mar → | ||
| 13–6 | 0.01 | 21% | 12 Mar → | ||
| poseidon | 1–9 | -0.18 | 11% | 12 Mar → | |
| 11–13 | -0.00 | 21% | 12 Mar → | ||
| 13–10 | 0.03 | 25% | 10 Mar → | ||
| 9–13 | 0.05 | 22% | 10 Mar → | ||
| 13–8 | 0.06 | 22% | 9 Mar → | ||
| 13–16 | 0.08 | 18% | 8 Mar → | ||
| 16–14 | -0.08 | 12% | 7 Mar → | ||
| 13–6 | 0.07 | 20% | 6 Mar → | ||
| 11–13 | 0.01 | 19% | 6 Mar → | ||
| 8–8 | 0.02 | 16% | 3 Mar → | ||
| 11–13 | -0.06 | 14% | 3 Mar → | ||
| 3–9 | -0.05 | 7% | 3 Mar → | ||
| 5–13 | 0.05 | 27% | 3 Mar → | ||
| 13–3 | 0.14 | 19% | 2 Mar → | ||
| 3–1 | 0.13 | 88% | 2 Mar → | ||
| 13–11 | -0.02 | 25% | 28 Feb → | ||
| 16–19 | 0.07 | 15% | 28 Feb → | ||
| 14–16 | -0.00 | 22% | 27 Feb → | ||
| 1–13 | -0.07 | 13% | 27 Feb → | ||
| 13–10 | 0.03 | 25% | 27 Feb → | ||
| 6–13 | -0.01 | 21% | 27 Feb → | ||
| 6–9 | 0.01 | 31% | 26 Feb → | ||
| 2–13 | 0.04 | 29% | 23 Feb → | ||
| 13–3 | 0.11 | 23% | 20 Feb → | ||
| 13–6 | 0.06 | 31% | 19 Feb → | ||
| 13–3 | -0.02 | 34% | 19 Feb → | ||
| 13–9 | 0.04 | 25% | 19 Feb → | ||
| 8–13 | -0.01 | 26% | 19 Feb → | ||
| 4–13 | -0.10 | 11% | 16 Feb → | ||
| 7–13 | 0.04 | 29% | 13 Feb → | ||
| 4–9 | -0.05 | 25% | 13 Feb → | ||
| 10–13 | 0.04 | 19% | 13 Feb → |
Match data via Leetify.