mdy tarantino — CS2 Stats
KR76561198092518133[U:1:132252405]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
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 75% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 631ms 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 (×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 |
|---|---|---|---|---|---|
| C | 14 | 6–8 | 43% | -0.00 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| A | 11 | 7–4 | 64% | -0.02 | |
| C | 10 | 4–6 | 40% | 0.00 | |
| S | 10 | 7–3 | 70% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.02 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| — | 4 | 1–3 | 25% | -0.02 | |
| office | — | 3 | 1–2 | 33% | -0.01 |
| warden | — | 2 | 1–1 | 50% | 0.01 |
| shelter | — | 1 | 0–1 | 0% | 0.03 |
| italy | — | 1 | 0–1 | 0% | -0.06 |
| alpine | — | 1 | 0–1 | 0% | -0.02 |
| stronghold | — | 1 | 0–1 | 0% | -0.06 |
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.
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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 0% | 1.02 | 15.0 |
| Dust2 | 1 | 100% | 0.69 | 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.
- 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 0.3979 — 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 28.962% — 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 | |
|---|---|---|---|---|---|
| 8–13 | -0.06 | 16% | 24 Aug → | ||
| 13–5 | -0.05 | 21% | 24 Aug → | ||
| 7–13 | -0.06 | 7% | 24 Aug → | ||
| 5–13 | -0.03 | 48% | 24 Aug → | ||
| shelter | 10–13 | 0.03 | 19% | 22 Aug → | |
| 13–4 | 0.01 | 17% | 19 Aug → | ||
| 9–2 | 0.05 | 25% | 5 Aug → | ||
| office | 13–8 | 0.02 | 16% | 5 Aug → | |
| 2–13 | -0.07 | 0% | 4 Jul → | ||
| italy | 2–13 | -0.06 | 5% | 3 Jul → | |
| 12–12 | 0.06 | 17% | 29 Jun → | ||
| 13–10 | -0.02 | 15% | 24 Jun → | ||
| 3–13 | 0.03 | 24% | 19 Jun → | ||
| 13–3 | -0.00 | 14% | 19 Jun → | ||
| 13–11 | -0.03 | 23% | 15 Jun → | ||
| 4–13 | -0.05 | 21% | 10 Jun → | ||
| 13–11 | -0.07 | 8% | 27 May → | ||
| 13–9 | -0.01 | 9% | 27 May → | ||
| 6–13 | -0.01 | 21% | 27 May → | ||
| 12–12 | 0.01 | 17% | 25 May → | ||
| warden | 10–13 | 0.02 | 29% | 18 May → | |
| 9–13 | -0.06 | 18% | 13 May → | ||
| 11–13 | 0.01 | 26% | 5 May → | ||
| 9–13 | -0.04 | 24% | 5 May → | ||
| 13–10 | 0.04 | 21% | 4 May → | ||
| 13–4 | -0.00 | 21% | 4 May → | ||
| 9–13 | -0.04 | 16% | 4 May → | ||
| 9–13 | 0.01 | 20% | 30 Apr → | ||
| 13–0 | 0.02 | 12% | 29 Apr → | ||
| 2–13 | -0.06 | 20% | 22 Apr → | ||
| 12–12 | 0.09 | 18% | 21 Apr → | ||
| 11–13 | -0.03 | 17% | 16 Apr → | ||
| 6–13 | -0.02 | 20% | 16 Apr → | ||
| alpine | 11–13 | -0.02 | 10% | 16 Apr → | |
| 13–9 | -0.04 | 11% | 16 Apr → | ||
| 13–9 | -0.01 | 11% | 15 Apr → | ||
| 5–2 | 0.04 | 13% | 10 Apr → | ||
| 6–13 | -0.00 | 7% | 10 Apr → | ||
| 2–7 | -0.05 | 11% | 2 Apr → | ||
| 8–13 | 0.02 | 11% | 1 Apr → | ||
| 8–13 | -0.05 | 17% | 28 Mar → | ||
| 6–13 | -0.03 | 16% | 27 Mar → | ||
| 9–13 | 0.07 | 18% | 27 Mar → | ||
| 6–13 | 0.07 | 22% | 27 Mar → | ||
| 3–13 | -0.04 | 13% | 27 Mar → | ||
| 13–5 | 0.07 | 17% | 24 Mar → | ||
| 12–12 | -0.02 | 15% | 24 Mar → | ||
| 13–10 | -0.02 | 29% | 23 Mar → | ||
| 7–13 | -0.01 | 18% | 23 Mar → | ||
| 4–13 | -0.04 | 35% | 22 Mar → | ||
| 13–5 | 0.07 | 18% | 22 Mar → | ||
| 8–13 | -0.07 | 11% | 19 Mar → | ||
| 12–12 | -0.03 | 24% | 19 Mar → | ||
| 13–11 | -0.02 | 23% | 13 Mar → | ||
| 13–9 | 0.00 | 24% | 13 Mar → | ||
| 13–7 | -0.05 | 22% | 10 Mar → | ||
| warden | 13–7 | 0.00 | 11% | 10 Mar → | |
| 13–5 | 0.03 | 17% | 9 Mar → | ||
| 6–13 | -0.01 | 39% | 5 Mar → | ||
| 13–10 | 0.04 | 29% | 4 Mar → | ||
| 13–10 | -0.05 | 18% | 28 Feb → | ||
| 13–8 | 0.02 | 16% | 28 Feb → | ||
| 10–13 | -0.00 | 19% | 23 Feb → | ||
| 9–13 | -0.02 | 24% | 23 Feb → | ||
| 13–6 | 0.02 | 11% | 23 Feb → | ||
| 13–9 | -0.01 | 21% | 11 Feb → | ||
| 13–5 | 0.02 | 9% | 10 Feb → | ||
| 10–13 | -0.03 | 8% | 9 Feb → | ||
| 12–12 | 0.01 | 12% | 9 Feb → | ||
| 10–13 | -0.07 | 17% | 1 Feb → | ||
| 7–13 | -0.06 | 8% | 1 Feb → | ||
| 13–11 | 0.02 | 25% | 1 Feb → | ||
| 16–12 | -0.00 | 11% | 1 Feb → | ||
| 13–8 | -0.06 | 22% | 1 Feb → | ||
| 13–6 | 0.01 | 13% | 1 Feb → | ||
| 10–13 | 0.03 | 29% | 1 Feb → | ||
| office | 12–12 | 0.02 | 19% | 27 Jan → | |
| 13–6 | 0.02 | 12% | 27 Jan → | ||
| 13–11 | 0.04 | 16% | 22 Jan → | ||
| stronghold | 6–13 | -0.06 | 20% | 22 Jan → | |
| 13–8 | 0.08 | 14% | 22 Jan → | ||
| 13–10 | -0.02 | 16% | 12 Jan → | ||
| 13–10 | 0.06 | 15% | 7 Jan → | ||
| office | 4–13 | -0.06 | 14% | 7 Jan → | |
| 13–8 | 0.00 | 41% | 3 Jan → | ||
| 13–9 | 0.07 | 17% | 3 Jan → | ||
| 13–11 | -0.01 | 23% | 3 Jan → | ||
| 13–6 | -0.03 | 22% | 3 Jan → | ||
| 13–9 | -0.02 | 33% | 3 Jan → | ||
| 13–8 | 0.03 | 13% | 27 Dec → | ||
| 10–13 | -0.04 | 14% | 27 Dec → | ||
| 0–4 | -0.07 | 0% | 26 Dec → | ||
| 13–11 | -0.01 | 30% | 26 Dec → | ||
| 12–12 | 0.07 | 21% | 11 Dec → | ||
| 15–15 | -0.04 | 17% | 5 Dec → | ||
| 13–7 | 0.04 | 15% | 22 Nov → | ||
| 5–13 | -0.01 | 20% | 22 Nov → | ||
| 11–13 | -0.04 | 11% | 10 Nov → | ||
| 6–13 | 0.05 | 17% | 9 Nov → | ||
| 7–13 | 0.03 | 18% | 8 Nov → |
Match data via Leetify.