Mindb — CS2 Stats
76561198278043802[U:1:317778074]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerLimited utility dependence
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 s1mple 86% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower utility contribution.
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 88 — the mechanical foundation is a clear strength.
CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 11.6° off target when enemies appear — placement, not flicking, is the bigger win available.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 69% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 600ms 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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 16 | 9–7 | 56% | 0.03 | |
| A | 14 | 9–5 | 64% | 0.05 | |
| A | 11 | 7–4 | 64% | 0.07 | |
| A | 9 | 5–4 | 56% | 0.06 | |
| A | 9 | 5–4 | 56% | 0.05 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| S | 7 | 6–1 | 86% | 0.07 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| S | 6 | 5–1 | 83% | 0.07 | |
| poseidon | — | 4 | 1–3 | 25% | -0.05 |
| — | 3 | 1–2 | 33% | 0.05 | |
| fachwerk | — | 2 | 0–2 | 0% | 0.01 |
| office | — | 2 | 2–0 | 100% | 0.11 |
| shelter | — | 1 | 1–0 | 100% | 0.07 |
| debris | — | 1 | 1–0 | 100% | 0.16 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Mirage 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 2 | 50% | 0.40 | 5.0 |
| Inferno | 2 | 50% | 0.86 | 15.0 |
| Mirage | 2 | 0% | 1.36 | 22.0 |
| Ancient | 1 | 0% | 0.71 | 12.0 |
| Cache | 1 | 100% | 1.42 | 17.0 |
| Nuke | 1 | 100% | 0.89 | 16.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3101 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.11 | 51% | 29 Aug → | ||
| 9–13 | 0.04 | 35% | 29 Aug → | ||
| 13–1 | 0.13 | 42% | 29 Aug → | ||
| 13–2 | 0.18 | 44% | 29 Aug → | ||
| 13–11 | 0.06 | 40% | 29 Aug → | ||
| 13–9 | 0.08 | 45% | 28 Aug → | ||
| 10–13 | 0.06 | 57% | 28 Aug → | ||
| 4–13 | 0.02 | 55% | 28 Aug → | ||
| 5–1 | 0.03 | 44% | 28 Aug → | ||
| 13–7 | 0.04 | 43% | 28 Aug → | ||
| 8–3 | -0.01 | 76% | 28 Aug → | ||
| 12–12 | -0.00 | 45% | 28 Aug → | ||
| 7–13 | 0.06 | 49% | 27 Aug → | ||
| 8–13 | 0.02 | 39% | 27 Aug → | ||
| 13–10 | 0.03 | 38% | 27 Aug → | ||
| 13–3 | 0.09 | 45% | 27 Aug → | ||
| 13–5 | 0.18 | 42% | 27 Aug → | ||
| fachwerk | 9–13 | -0.03 | 52% | 27 Aug → | |
| 13–10 | -0.02 | 46% | 26 Aug → | ||
| fachwerk | 9–13 | 0.06 | 49% | 26 Aug → | |
| shelter | 13–0 | 0.07 | 53% | 26 Aug → | |
| 10–13 | 0.02 | 37% | 26 Aug → | ||
| 13–6 | 0.18 | 48% | 26 Aug → | ||
| 13–11 | 0.02 | 40% | 26 Aug → | ||
| 13–4 | 0.06 | 40% | 26 Aug → | ||
| 10–13 | 0.04 | 49% | 25 Aug → | ||
| 13–10 | 0.07 | 44% | 25 Aug → | ||
| 13–6 | 0.04 | 41% | 25 Aug → | ||
| 11–13 | 0.06 | 44% | 25 Aug → | ||
| 13–10 | 0.04 | 54% | 25 Aug → | ||
| 13–5 | 0.08 | 38% | 25 Aug → | ||
| 1–13 | -0.03 | 36% | 24 Aug → | ||
| 1–13 | -0.05 | 100% | 24 Aug → | ||
| 13–8 | 0.05 | 43% | 24 Aug → | ||
| 10–13 | 0.08 | 48% | 24 Aug → | ||
| 13–4 | 0.01 | 50% | 24 Aug → | ||
| 12–12 | 0.00 | 44% | 24 Aug → | ||
| 3–2 | 0.08 | 50% | 24 Aug → | ||
| 13–7 | 0.02 | 46% | 24 Aug → | ||
| 13–4 | 0.05 | 46% | 24 Aug → | ||
| debris | 9–4 | 0.16 | 61% | 21 Aug → | |
| 13–7 | 0.04 | 37% | 21 Aug → | ||
| 13–7 | 0.08 | 38% | 21 Aug → | ||
| 13–10 | 0.08 | 48% | 21 Aug → | ||
| 13–1 | 0.16 | 48% | 21 Aug → | ||
| 13–9 | 0.16 | 48% | 21 Aug → | ||
| 12–12 | 0.00 | 44% | 21 Aug → | ||
| 13–11 | 0.09 | 44% | 21 Aug → | ||
| 7–4 | 0.02 | 59% | 21 Aug → | ||
| 0–13 | -0.06 | 22% | 20 Aug → | ||
| 13–9 | 0.01 | 62% | 20 Aug → | ||
| 13–7 | 0.14 | 46% | 20 Aug → | ||
| 13–10 | 0.06 | 36% | 20 Aug → | ||
| 10–13 | 0.04 | 36% | 20 Aug → | ||
| 13–6 | 0.05 | 44% | 16 Aug → | ||
| 13–7 | -0.03 | 45% | 16 Aug → | ||
| 13–11 | 0.03 | 38% | 16 Aug → | ||
| 13–4 | 0.09 | 66% | 16 Aug → | ||
| 13–5 | 0.00 | 45% | 16 Aug → | ||
| 7–13 | 0.11 | 56% | 16 Aug → | ||
| office | 13–6 | 0.16 | 51% | 15 Aug → | |
| 5–13 | -0.11 | 12% | 15 Aug → | ||
| 6–13 | -0.01 | 41% | 15 Aug → | ||
| 12–12 | 0.03 | 38% | 15 Aug → | ||
| 6–9 | -0.03 | 56% | 15 Aug → | ||
| 13–4 | 0.11 | 54% | 15 Aug → | ||
| poseidon | 8–8 | 0.06 | 33% | 15 Aug → | |
| poseidon | 9–2 | -0.03 | 60% | 15 Aug → | |
| 6–9 | -0.04 | 46% | 15 Aug → | ||
| 9–3 | 0.13 | 43% | 14 Aug → | ||
| 9–6 | -0.01 | 46% | 14 Aug → | ||
| 9–4 | 0.09 | 28% | 14 Aug → | ||
| 9–1 | 0.15 | 45% | 14 Aug → | ||
| 13–6 | 0.07 | 39% | 14 Aug → | ||
| 13–1 | 0.19 | 43% | 14 Aug → | ||
| 11–13 | 0.09 | 39% | 14 Aug → | ||
| office | 13–5 | 0.07 | 48% | 14 Aug → | |
| 13–6 | -0.00 | 39% | 14 Aug → | ||
| 13–10 | 0.06 | 59% | 14 Aug → | ||
| 13–5 | 0.07 | 37% | 14 Aug → | ||
| 6–13 | -0.01 | 51% | 14 Aug → | ||
| 12–12 | 0.08 | 47% | 14 Aug → | ||
| 3–13 | -0.03 | 36% | 14 Aug → | ||
| 7–13 | 0.00 | 41% | 14 Aug → | ||
| 7–13 | 0.04 | 55% | 13 Aug → | ||
| 13–5 | 0.01 | 44% | 13 Aug → | ||
| 12–12 | 0.05 | 41% | 13 Aug → | ||
| 13–11 | 0.08 | 36% | 13 Aug → | ||
| 8–13 | -0.03 | 36% | 13 Aug → | ||
| 13–10 | 0.04 | 38% | 12 Aug → | ||
| 1–7 | -0.06 | 60% | 12 Aug → | ||
| 11–13 | -0.01 | 41% | 12 Aug → | ||
| 13–1 | 0.01 | 17% | 12 Aug → | ||
| 13–8 | 0.04 | 38% | 12 Aug → | ||
| 12–12 | 0.07 | 58% | 12 Aug → | ||
| poseidon | 4–9 | -0.14 | 26% | 12 Aug → | |
| poseidon | 7–9 | -0.07 | 24% | 12 Aug → | |
| 9–7 | 0.04 | 41% | 12 Aug → | ||
| 1–9 | 0.03 | 76% | 11 Aug → | ||
| 3–13 | 0.02 | 48% | 11 Aug → |
Match data via Leetify.