mako- — CS2 Stats
76561198315710555[U:1:355444827]
Rating over time
Faceit ELO
- At peak — 3,765
- Next: 4,000 ELO at 4,000 — 235 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingEffective 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 donk 95% playstyle similarity
Most alike: opening-duel success, 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 92 — the mechanical foundation is a clear strength.
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 8.1/10 (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 |
|---|---|---|---|---|---|
| S | 25 | 17–8 | 68% | 0.02 | |
| C | 21 | 9–12 | 43% | 0.01 | |
| A | 17 | 10–7 | 59% | 0.00 | |
| C | 14 | 6–8 | 43% | 0.04 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| A | 5 | 3–2 | 60% | 0.07 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.20 | |
| — | 1 | 0–1 | 0% | 0.07 | |
| poseidon | — | 1 | 1–0 | 100% | 0.13 |
| rooftop | — | 1 | 1–0 | 100% | 0.04 |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1051 | 51% | 1.14 | 17.5 |
| Ancient | 732 | 53% | 1.14 | 17.5 |
| Dust2 | 521 | 49% | 1.15 | 17.1 |
| Anubis | 426 | 48% | 1.08 | 16.4 |
| Inferno | 344 | 54% | 1.29 | 18.4 |
| Vertigo | 130 | 63% | 1.25 | 18.6 |
| Nuke | 85 | 54% | 1.13 | 16.8 |
| Train | 62 | 55% | 1.12 | 16.3 |
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
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 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.00 | 22% | 23 Aug → | ||
| 13–5 | 0.07 | 23% | 22 Aug → | ||
| 13–10 | -0.06 | 13% | 22 Aug → | ||
| 9–13 | -0.06 | 13% | 21 Aug → | ||
| 7–13 | 0.03 | 22% | 21 Aug → | ||
| 13–16 | 0.01 | 19% | 20 Aug → | ||
| 9–13 | -0.06 | 20% | 20 Aug → | ||
| 13–10 | 0.06 | 26% | 19 Aug → | ||
| 13–6 | 0.06 | 18% | 13 Aug → | ||
| 13–7 | -0.03 | 16% | 13 Aug → | ||
| 13–4 | -0.02 | 33% | 13 Aug → | ||
| 13–10 | -0.05 | 31% | 24 Jul → | ||
| 10–13 | 0.00 | 13% | 20 Jul → | ||
| 13–7 | 0.11 | 22% | 20 Jul → | ||
| 12–16 | 0.01 | 28% | 19 Jul → | ||
| 22–20 | -0.01 | 18% | 14 Jul → | ||
| 13–10 | 0.03 | 14% | 13 Jul → | ||
| 9–13 | 0.15 | 26% | 13 Jul → | ||
| 13–0 | 0.14 | 17% | 12 Jul → | ||
| 6–3 | 0.05 | 16% | 12 Jul → | ||
| 13–11 | -0.00 | 17% | 11 Jul → | ||
| 13–4 | -0.03 | 31% | 4 Jul → | ||
| 13–7 | 0.05 | 18% | 4 Jul → | ||
| 6–13 | 0.01 | 25% | 4 Jul → | ||
| 13–6 | 0.11 | 18% | 1 Jul → | ||
| 9–13 | -0.06 | 27% | 26 Jun → | ||
| 10–13 | 0.03 | 18% | 25 Jun → | ||
| 13–5 | 0.00 | 21% | 24 Jun → | ||
| 13–8 | 0.05 | 21% | 24 Jun → | ||
| 10–13 | -0.05 | 35% | 22 Jun → | ||
| 13–4 | 0.04 | 13% | 12 Jun → | ||
| 13–6 | -0.01 | 29% | 10 Jun → | ||
| 13–4 | 0.04 | 28% | 4 Jun → | ||
| 16–14 | 0.01 | 26% | 31 May → | ||
| 13–4 | 0.07 | 21% | 30 May → | ||
| 10–13 | 0.01 | 27% | 29 May → | ||
| 5–13 | -0.04 | 28% | 28 May → | ||
| 8–8 | 0.07 | 39% | 18 May → | ||
| 2–9 | -0.18 | 18% | 7 May → | ||
| 9–3 | 0.19 | 37% | 2 May → | ||
| 11–13 | -0.00 | 29% | 27 Apr → | ||
| 16–13 | -0.00 | 8% | 23 Apr → | ||
| 13–4 | 0.04 | 28% | 23 Apr → | ||
| 13–16 | 0.02 | 18% | 7 Apr → | ||
| 13–11 | 0.04 | 27% | 7 Apr → | ||
| 6–13 | 0.08 | 21% | 6 Apr → | ||
| 10–13 | -0.02 | 20% | 6 Apr → | ||
| 13–9 | 0.03 | 28% | 3 Apr → | ||
| 13–2 | 0.11 | 22% | 30 Mar → | ||
| 13–3 | 0.03 | 15% | 25 Mar → | ||
| 11–13 | -0.06 | 23% | 25 Mar → | ||
| 5–0 | -0.02 | 40% | 24 Mar → | ||
| 13–5 | 0.05 | 16% | 20 Mar → | ||
| 7–13 | -0.03 | 23% | 19 Mar → | ||
| 5–9 | 0.01 | 20% | 16 Mar → | ||
| 6–13 | -0.08 | 15% | 15 Mar → | ||
| 6–9 | 0.07 | 41% | 15 Mar → | ||
| 1–9 | -0.11 | 20% | 15 Mar → | ||
| 13–11 | 0.01 | 21% | 4 Mar → | ||
| 13–5 | 0.05 | 12% | 28 Feb → | ||
| 19–17 | 0.04 | 25% | 26 Feb → | ||
| 7–13 | 0.00 | 29% | 26 Feb → | ||
| 13–16 | 0.01 | 16% | 24 Feb → | ||
| 13–7 | 0.01 | 28% | 22 Feb → | ||
| 15–19 | -0.04 | 16% | 20 Feb → | ||
| 13–10 | -0.05 | 19% | 12 Feb → | ||
| 11–13 | 0.03 | 33% | 9 Feb → | ||
| 10–13 | 0.02 | 38% | 6 Feb → | ||
| 13–9 | 0.13 | 24% | 6 Feb → | ||
| 8–8 | 0.03 | 17% | 5 Feb → | ||
| 13–8 | 0.05 | 9% | 5 Feb → | ||
| 8–13 | -0.00 | 14% | 31 Jan → | ||
| 13–7 | 0.05 | 16% | 30 Jan → | ||
| 5–13 | -0.04 | 11% | 30 Jan → | ||
| 9–5 | 0.21 | 19% | 29 Jan → | ||
| 11–13 | -0.06 | 25% | 29 Jan → | ||
| 6–9 | 0.07 | 15% | 28 Jan → | ||
| 9–1 | 0.01 | 28% | 27 Jan → | ||
| 9–3 | 0.19 | 16% | 23 Jan → | ||
| poseidon | 7–0 | 0.13 | 63% | 22 Jan → | |
| 10–13 | -0.01 | 20% | 20 Jan → | ||
| 13–6 | 0.01 | 39% | 17 Jan → | ||
| 5–13 | 0.00 | 29% | 16 Jan → | ||
| 9–6 | 0.13 | 32% | 16 Jan → | ||
| 9–5 | 0.17 | 50% | 15 Jan → | ||
| rooftop | 9–5 | 0.04 | 15% | 15 Jan → | |
| 4–9 | -0.08 | 18% | 15 Jan → | ||
| 8–13 | -0.03 | 32% | 14 Jan → | ||
| 2–9 | -0.05 | 17% | 11 Jan → | ||
| 5–13 | -0.04 | 12% | 11 Jan → | ||
| 13–7 | 0.03 | 20% | 10 Jan → | ||
| 11–13 | -0.02 | 12% | 6 Jan → | ||
| 16–13 | 0.05 | 21% | 6 Jan → | ||
| 13–10 | 0.01 | 19% | 6 Jan → | ||
| 8–13 | 0.02 | 32% | 4 Jan → | ||
| 13–11 | 0.05 | 33% | 3 Jan → | ||
| 9–6 | 0.07 | 38% | 25 Dec → | ||
| 4–13 | 0.00 | 21% | 25 Dec → | ||
| 8–8 | 0.06 | 22% | 25 Dec → | ||
| 13–11 | -0.00 | 14% | 23 Dec → |
Match data via Leetify.