iGotMilq — CS2 Stats
76561198043618056[U:1:83352328]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 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 Twistzz 80% 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
T-side openings. Opening success drops from 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 585ms 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 4.2/10 (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 | 20 | 8–12 | 40% | -0.01 | |
| S | 19 | 13–6 | 68% | 0.02 | |
| B | 15 | 8–7 | 53% | -0.01 | |
| S | 15 | 10–5 | 67% | 0.01 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| A | 11 | 7–4 | 64% | 0.00 | |
| S | 6 | 4–2 | 67% | -0.01 | |
| — | 3 | 2–1 | 67% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 44 | 55% | 0.98 | 13.6 |
| Ancient | 41 | 41% | 0.89 | 12.8 |
| Nuke | 41 | 44% | 1.00 | 15.1 |
| Inferno | 40 | 50% | 1.05 | 13.6 |
| Dust2 | 32 | 56% | 1.00 | 14.5 |
| Overpass | 22 | 59% | 1.14 | 17.3 |
| Anubis | 14 | 36% | 0.78 | 10.2 |
| Train | 1 | 0% | 0.78 | 14.0 |
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.
- 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 10.9377% — 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 0.4872 — 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 31.4792% — 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.
40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | -0.01 | 12% | 29 Aug → | ||
| 13–5 | 0.04 | 6% | 29 Aug → | ||
| 11–13 | -0.00 | 12% | 29 Aug → | ||
| 4–13 | -0.09 | 10% | 29 Aug → | ||
| 8–13 | -0.00 | 8% | 29 Aug → | ||
| 13–5 | 0.03 | 7% | 29 Aug → | ||
| 13–3 | 0.02 | 13% | 29 Aug → | ||
| 9–13 | -0.01 | 17% | 29 Aug → | ||
| 9–13 | -0.02 | 9% | 29 Aug → | ||
| 13–7 | 0.08 | 9% | 29 Aug → | ||
| 11–13 | -0.06 | 4% | 29 Aug → | ||
| 13–8 | 0.02 | 13% | 29 Aug → | ||
| 15–15 | 0.01 | 18% | 29 Aug → | ||
| 13–6 | 0.02 | 7% | 29 Aug → | ||
| 13–5 | 0.03 | 11% | 29 Aug → | ||
| 4–13 | -0.02 | 9% | 28 Aug → | ||
| 16–13 | -0.02 | 12% | 28 Aug → | ||
| 13–9 | 0.08 | 8% | 28 Aug → | ||
| 7–13 | -0.08 | 23% | 28 Aug → | ||
| 13–3 | 0.01 | 18% | 28 Aug → | ||
| 11–13 | 0.02 | 6% | 28 Aug → | ||
| 7–13 | -0.00 | 5% | 28 Aug → | ||
| 4–13 | -0.04 | 17% | 28 Aug → | ||
| 13–9 | -0.03 | 10% | 28 Aug → | ||
| 13–8 | -0.02 | 9% | 28 Aug → | ||
| 11–13 | 0.07 | 13% | 28 Aug → | ||
| 4–13 | -0.03 | 12% | 28 Aug → | ||
| 4–13 | 0.00 | 16% | 26 Aug → | ||
| 10–13 | -0.06 | 9% | 26 Aug → | ||
| 13–11 | -0.05 | 7% | 25 Aug → | ||
| 13–7 | 0.03 | 11% | 25 Aug → | ||
| 2–13 | 0.02 | 11% | 25 Aug → | ||
| 16–14 | 0.00 | 16% | 25 Aug → | ||
| 13–10 | 0.02 | 8% | 2 Jun → | ||
| 7–13 | 0.05 | 6% | 1 Jun → | ||
| 13–7 | -0.01 | 17% | 1 Jun → | ||
| 13–10 | -0.04 | 16% | 1 Jun → | ||
| 7–1 | 0.03 | 7% | 1 Jun → | ||
| 11–13 | -0.07 | 17% | 31 May → | ||
| 13–10 | 0.01 | 13% | 31 May → | ||
| 13–8 | 0.01 | 11% | 31 May → | ||
| 13–7 | -0.01 | 7% | 31 May → | ||
| 13–9 | -0.04 | 10% | 31 May → | ||
| 13–6 | 0.05 | 6% | 31 May → | ||
| 13–11 | 0.03 | 5% | 31 May → | ||
| 9–13 | -0.03 | 10% | 30 May → | ||
| 13–9 | -0.02 | 18% | 30 May → | ||
| 13–8 | 0.00 | 17% | 30 May → | ||
| 13–10 | 0.05 | 11% | 29 May → | ||
| 8–13 | -0.04 | 14% | 28 May → | ||
| 8–13 | -0.06 | 7% | 27 May → | ||
| 13–11 | -0.03 | 12% | 27 May → | ||
| 13–11 | 0.01 | 12% | 27 May → | ||
| 13–1 | -0.07 | 11% | 27 May → | ||
| 4–13 | -0.06 | 15% | 27 May → | ||
| 15–15 | -0.05 | 11% | 27 May → | ||
| 13–8 | -0.02 | 22% | 27 May → | ||
| 6–13 | 0.00 | 21% | 27 May → | ||
| 13–11 | 0.01 | 17% | 26 May → | ||
| 13–7 | 0.05 | 8% | 26 May → | ||
| 5–13 | -0.02 | 4% | 26 May → | ||
| 13–11 | -0.02 | 20% | 26 May → | ||
| 2–13 | -0.04 | 9% | 26 May → | ||
| 8–13 | -0.02 | 12% | 26 May → | ||
| 13–3 | -0.01 | 9% | 26 May → | ||
| 13–9 | 0.01 | 8% | 25 May → | ||
| 13–4 | 0.05 | 13% | 25 May → | ||
| 13–8 | 0.06 | 13% | 25 May → | ||
| 15–15 | -0.00 | 12% | 25 May → | ||
| 4–13 | 0.03 | 7% | 25 May → | ||
| 13–7 | 0.03 | 17% | 25 May → | ||
| 13–4 | 0.08 | 18% | 25 May → | ||
| 5–13 | -0.04 | 10% | 25 May → | ||
| 13–8 | -0.04 | 17% | 24 May → | ||
| 13–6 | -0.00 | 6% | 24 May → | ||
| 6–13 | 0.06 | 13% | 24 May → | ||
| 13–6 | -0.04 | 10% | 23 May → | ||
| 13–6 | 0.17 | 12% | 23 May → | ||
| 13–1 | 0.10 | 8% | 22 May → | ||
| 13–9 | -0.04 | 7% | 22 May → | ||
| 6–13 | -0.01 | 9% | 22 May → | ||
| 13–9 | 0.01 | 11% | 22 May → | ||
| 6–13 | 0.02 | 16% | 22 May → | ||
| 10–13 | 0.03 | 20% | 22 May → | ||
| 11–13 | -0.01 | 14% | 21 May → | ||
| 13–8 | -0.03 | 14% | 21 May → | ||
| 6–13 | 0.05 | 9% | 21 May → | ||
| 13–8 | 0.02 | 9% | 21 May → | ||
| 10–13 | -0.01 | 14% | 21 May → | ||
| 13–11 | -0.03 | 14% | 21 May → | ||
| 5–13 | 0.01 | 8% | 21 May → | ||
| 14–16 | 0.02 | 5% | 20 May → | ||
| 13–11 | 0.09 | 16% | 20 May → | ||
| 13–3 | 0.03 | 2% | 19 May → | ||
| 13–2 | 0.01 | 19% | 19 May → | ||
| 13–8 | 0.06 | 15% | 19 May → | ||
| 13–6 | 0.03 | 9% | 19 May → | ||
| 13–7 | 0.05 | 14% | 19 May → | ||
| 3–5 | -0.02 | 13% | 19 May → | ||
| 6–13 | -0.02 | 7% | 19 May → |
Match data via Leetify.