Ming1945 — CS2 Stats
76561199634577233[U:1:1674311505]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 38.4% | 48.1% |
| Shot accuracy | 0.0% | 12.9% |
| Kill/death ratio | 1.06 | 1.08 |
| Match win rate | 49.6% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp 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 NiKo 86% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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. 618ms 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 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 20 | 9–11 | 45% | -0.01 | |
| S | 20 | 13–7 | 65% | -0.02 | |
| A | 15 | 9–6 | 60% | 0.01 | |
| C | 14 | 5–9 | 36% | -0.01 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| S | 7 | 5–2 | 71% | 0.00 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| stronghold | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (36% over 14). 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 60 | 58% | 1.07 | 15.8 |
| Inferno | 51 | 63% | 1.13 | 17.0 |
| Mirage | 38 | 50% | 1.22 | 16.3 |
| Ancient | 18 | 50% | 0.89 | 14.2 |
| Anubis | 12 | 33% | 1.02 | 14.5 |
| Cache | 12 | 67% | 1.05 | 12.6 |
| Nuke | 10 | 60% | 0.90 | 13.8 |
| Train | 7 | 43% | 0.81 | 13.6 |
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 13.524% — below the 15% mark we flag
- 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 0.4749 — below the 0.5 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 32.3217% — 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.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.00 | 10% | 17 Aug → | ||
| 2–13 | -0.01 | 12% | 17 Aug → | ||
| 0–9 | -0.06 | 14% | 6 Aug → | ||
| 3–13 | -0.07 | 17% | 4 Aug → | ||
| 13–5 | 0.04 | 19% | 31 Jul → | ||
| 8–13 | -0.00 | 14% | 28 Jul → | ||
| 13–5 | -0.02 | 22% | 26 Jul → | ||
| 13–6 | 0.01 | 15% | 25 Jul → | ||
| 16–13 | 0.03 | 11% | 24 Jul → | ||
| 9–13 | -0.04 | 6% | 24 Jul → | ||
| 13–5 | -0.03 | 5% | 24 Jul → | ||
| 10–13 | -0.02 | 20% | 22 Jul → | ||
| 6–1 | -0.06 | 25% | 22 Jul → | ||
| 13–11 | -0.01 | 4% | 22 Jul → | ||
| 13–5 | -0.02 | 7% | 22 Jul → | ||
| 10–13 | -0.00 | 17% | 22 Jul → | ||
| 2–13 | -0.06 | 16% | 15 Jul → | ||
| 10–13 | 0.02 | 25% | 15 Jul → | ||
| 5–13 | -0.02 | 16% | 15 Jul → | ||
| 5–10 | 0.05 | 17% | 15 Jul → | ||
| 4–13 | -0.02 | 8% | 15 Jul → | ||
| 13–8 | 0.05 | 14% | 14 Jul → | ||
| 12–16 | -0.07 | 11% | 14 Jul → | ||
| 4–13 | -0.03 | 13% | 12 Jul → | ||
| 3–13 | -0.09 | 8% | 12 Jul → | ||
| 13–9 | 0.00 | 14% | 11 Jul → | ||
| 13–6 | -0.01 | 14% | 11 Jul → | ||
| 9–13 | 0.01 | 16% | 10 Jul → | ||
| 6–13 | -0.03 | 10% | 10 Jul → | ||
| 13–4 | 0.02 | 14% | 10 Jul → | ||
| 13–5 | 0.03 | 11% | 10 Jul → | ||
| 14–16 | -0.05 | 11% | 9 Jul → | ||
| 7–0 | -0.01 | 14% | 9 Jul → | ||
| 13–3 | 0.01 | 10% | 9 Jul → | ||
| 13–5 | 0.05 | 16% | 3 Jul → | ||
| 11–13 | 0.00 | 14% | 3 Jul → | ||
| 6–13 | -0.02 | 12% | 28 Jun → | ||
| 13–5 | 0.09 | 18% | 26 Jun → | ||
| 13–0 | 0.09 | 35% | 25 Jun → | ||
| 13–1 | 0.17 | 14% | 25 Jun → | ||
| 8–13 | 0.00 | 23% | 25 Jun → | ||
| 13–9 | 0.04 | 18% | 22 Jun → | ||
| 6–13 | 0.00 | 8% | 19 Jun → | ||
| 13–6 | 0.05 | 13% | 16 Jun → | ||
| stronghold | 4–13 | -0.05 | 16% | 16 Jun → | |
| 9–13 | -0.04 | 14% | 11 Jun → | ||
| 8–13 | -0.04 | 14% | 11 Jun → | ||
| 5–0 | -0.07 | 8% | 11 Jun → | ||
| 13–11 | 0.03 | 20% | 11 Jun → | ||
| 3–12 | -0.04 | 9% | 10 Jun → | ||
| 13–7 | -0.00 | 15% | 4 Jun → | ||
| 14–16 | -0.02 | 11% | 31 May → | ||
| 7–13 | -0.06 | 15% | 30 May → | ||
| 8–13 | -0.06 | 11% | 30 May → | ||
| 13–7 | 0.03 | 19% | 28 May → | ||
| 13–11 | -0.03 | 14% | 27 May → | ||
| 13–9 | -0.04 | 10% | 27 May → | ||
| 13–4 | 0.02 | 16% | 22 May → | ||
| 13–11 | -0.04 | 14% | 15 May → | ||
| 13–11 | 0.05 | 17% | 15 May → | ||
| 12–12 | -0.06 | 8% | 14 May → | ||
| 5–13 | -0.05 | 11% | 14 May → | ||
| 13–10 | -0.00 | 7% | 25 Apr → | ||
| 10–13 | 0.01 | 12% | 25 Apr → | ||
| 16–14 | 0.00 | 14% | 15 Mar → | ||
| 10–13 | -0.00 | 10% | 15 Mar → | ||
| 11–13 | 0.01 | 15% | 15 Mar → | ||
| 12–12 | -0.05 | 29% | 12 Mar → | ||
| 16–19 | -0.05 | 10% | 7 Mar → | ||
| 16–14 | 0.02 | 14% | 5 Mar → | ||
| 13–10 | 0.01 | 9% | 25 Feb → | ||
| 12–12 | 0.16 | 19% | 25 Feb → | ||
| 13–10 | -0.03 | 16% | 22 Feb → | ||
| 13–6 | 0.02 | 17% | 17 Feb → | ||
| 13–6 | -0.04 | 9% | 17 Feb → | ||
| 13–6 | 0.03 | 21% | 17 Feb → | ||
| 7–13 | -0.03 | 4% | 14 Feb → | ||
| 16–12 | -0.01 | 17% | 12 Feb → | ||
| 13–5 | -0.05 | 14% | 11 Feb → | ||
| 13–5 | 0.02 | 8% | 11 Feb → | ||
| 13–7 | 0.01 | 8% | 11 Feb → | ||
| 13–10 | -0.03 | 15% | 9 Feb → | ||
| 13–1 | 0.05 | 13% | 8 Feb → | ||
| 13–11 | -0.03 | 7% | 7 Feb → | ||
| 4–13 | 0.00 | 13% | 2 Feb → | ||
| 13–5 | -0.01 | 14% | 2 Feb → | ||
| 11–6 | -0.01 | 14% | 2 Feb → | ||
| 13–0 | 0.06 | 21% | 1 Feb → | ||
| 8–13 | -0.03 | 10% | 1 Feb → | ||
| 5–13 | -0.00 | 38% | 1 Feb → | ||
| 10–13 | -0.04 | 15% | 21 Jan → | ||
| 13–10 | -0.06 | 17% | 18 Jan → | ||
| 16–12 | 0.02 | 16% | 18 Jan → | ||
| 16–14 | 0.04 | 14% | 10 Jan → | ||
| 13–11 | -0.04 | 15% | 10 Jan → | ||
| 13–8 | 0.00 | 6% | 10 Jan → | ||
| 6–13 | -0.06 | 19% | 16 Dec → | ||
| 7–13 | -0.05 | 21% | 15 Dec → | ||
| 1–13 | -0.09 | 4% | 10 Dec → | ||
| 14–16 | -0.02 | 17% | 3 Dec → |
Match data via Leetify.
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