MIKE OXMAL — CS2 Stats
HM76561199169380136[U:1:1209114408]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 13,744
- Next: Purple band at 15,000 — 1,256 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light Blue band 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 · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 87% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
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 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 558ms 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 5.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 17 | 11–6 | 65% | 0.01 | |
| D | 17 | 4–13 | 24% | -0.02 | |
| A | 15 | 9–6 | 60% | 0.01 | |
| B | 14 | 7–7 | 50% | -0.02 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.06 | |
| office | — | 2 | 2–0 | 100% | 0.00 |
| — | 2 | 1–1 | 50% | 0.06 | |
| eldorado | — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Dust 2 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 23 | 35% | 0.90 | 13.3 |
| Ancient | 15 | 73% | 0.98 | 14.4 |
| Anubis | 10 | 70% | 0.70 | 9.2 |
| Dust2 | 9 | 56% | 0.73 | 10.7 |
| Nuke | 8 | 25% | 0.67 | 11.0 |
| Inferno | 5 | 100% | 1.62 | 13.4 |
| Overpass | 4 | 25% | 0.75 | 11.5 |
| Cache | 2 | 50% | 1.62 | 20.0 |
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 0.4381 — 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 25.4277% — 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.
24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.01 | 9% | 24 Aug → | ||
| 13–5 | 0.04 | 21% | 24 Aug → | ||
| 13–6 | -0.03 | 20% | 24 Aug → | ||
| 13–9 | 0.12 | 23% | 24 Aug → | ||
| 13–5 | 0.05 | 13% | 24 Aug → | ||
| 13–16 | 0.01 | 15% | 24 Aug → | ||
| 8–13 | -0.00 | 21% | 24 Aug → | ||
| 13–4 | 0.06 | 8% | 24 Aug → | ||
| 6–13 | 0.00 | 29% | 23 Aug → | ||
| 11–13 | -0.03 | 12% | 23 Aug → | ||
| 13–2 | 0.02 | 16% | 23 Aug → | ||
| 3–13 | -0.05 | 24% | 21 Aug → | ||
| 4–13 | -0.13 | 10% | 21 Aug → | ||
| office | 13–11 | -0.03 | 22% | 20 Aug → | |
| 6–13 | 0.06 | 17% | 20 Aug → | ||
| 13–5 | -0.04 | 17% | 20 Aug → | ||
| 11–7 | 0.09 | 17% | 20 Aug → | ||
| 13–8 | -0.04 | 13% | 20 Aug → | ||
| 13–11 | -0.01 | 15% | 20 Aug → | ||
| 13–6 | 0.04 | 23% | 20 Aug → | ||
| 7–13 | -0.03 | 29% | 20 Aug → | ||
| 13–10 | 0.00 | 15% | 20 Aug → | ||
| 13–7 | 0.09 | 19% | 19 Aug → | ||
| 13–10 | -0.04 | 26% | 15 Aug → | ||
| 5–13 | 0.01 | 25% | 15 Aug → | ||
| 11–13 | -0.01 | 13% | 15 Aug → | ||
| 13–10 | 0.05 | 16% | 15 Aug → | ||
| 9–13 | -0.13 | 50% | 14 Aug → | ||
| 13–6 | -0.01 | 17% | 14 Aug → | ||
| office | 13–9 | 0.03 | 23% | 14 Aug → | |
| 13–11 | -0.03 | 13% | 14 Aug → | ||
| 9–13 | -0.04 | 26% | 14 Aug → | ||
| 5–0 | 0.01 | 17% | 14 Aug → | ||
| 6–13 | -0.05 | 15% | 12 Aug → | ||
| 10–13 | -0.04 | 10% | 12 Aug → | ||
| 13–9 | 0.01 | 20% | 12 Aug → | ||
| 9–13 | -0.04 | 16% | 11 Aug → | ||
| 13–7 | -0.01 | 20% | 11 Aug → | ||
| 6–13 | -0.04 | 22% | 11 Aug → | ||
| 11–13 | -0.04 | 17% | 11 Aug → | ||
| 10–13 | -0.00 | 14% | 11 Aug → | ||
| 6–13 | -0.06 | 19% | 10 Aug → | ||
| 13–6 | -0.01 | 17% | 10 Aug → | ||
| 16–13 | -0.05 | 14% | 5 Aug → | ||
| 9–13 | 0.04 | 23% | 5 Aug → | ||
| 7–13 | -0.04 | 11% | 5 Aug → | ||
| 13–11 | -0.04 | 16% | 5 Aug → | ||
| 16–14 | -0.04 | 13% | 5 Aug → | ||
| 9–13 | -0.05 | 15% | 5 Aug → | ||
| 13–5 | 0.04 | 11% | 5 Aug → | ||
| 8–13 | 0.04 | 10% | 4 Aug → | ||
| 13–8 | -0.03 | 9% | 4 Aug → | ||
| 13–4 | 0.04 | 24% | 4 Aug → | ||
| 9–13 | -0.06 | 12% | 4 Aug → | ||
| 9–13 | 0.04 | 14% | 3 Aug → | ||
| 13–11 | 0.02 | 12% | 3 Aug → | ||
| 13–7 | 0.03 | 24% | 3 Aug → | ||
| 13–16 | -0.00 | 23% | 3 Aug → | ||
| 13–3 | 0.11 | 23% | 3 Aug → | ||
| 13–4 | 0.03 | 13% | 3 Aug → | ||
| 13–1 | 0.03 | 22% | 3 Aug → | ||
| 11–13 | -0.03 | 28% | 3 Aug → | ||
| 13–9 | 0.01 | 11% | 3 Aug → | ||
| 2–13 | -0.03 | 30% | 2 Aug → | ||
| 13–3 | 0.05 | 17% | 2 Aug → | ||
| 8–13 | -0.03 | 9% | 2 Aug → | ||
| 13–11 | 0.02 | 13% | 2 Aug → | ||
| 13–7 | -0.01 | 21% | 2 Aug → | ||
| 9–13 | -0.05 | 14% | 1 Aug → | ||
| 10–13 | -0.04 | 18% | 31 Jul → | ||
| 9–13 | -0.05 | 13% | 31 Jul → | ||
| 13–2 | 0.06 | 11% | 31 Jul → | ||
| 13–9 | -0.03 | 12% | 31 Jul → | ||
| 11–13 | 0.06 | 17% | 31 Jul → | ||
| 13–11 | -0.04 | 16% | 31 Jul → | ||
| 11–13 | 0.02 | 20% | 31 Jul → | ||
| 13–4 | 0.09 | 23% | 31 Jul → | ||
| 4–13 | -0.07 | 9% | 31 Jul → | ||
| 4–13 | -0.03 | 10% | 31 Jul → | ||
| 12–12 | -0.02 | 11% | 30 Jul → | ||
| eldorado | 8–8 | 0.07 | 4% | 30 Jul → | |
| 9–1 | 0.13 | 24% | 30 Jul → | ||
| 9–6 | 0.06 | 26% | 30 Jul → | ||
| 9–2 | 0.19 | 18% | 30 Jul → | ||
| 9–13 | 0.00 | 17% | 30 Jul → | ||
| 1–6 | 0.02 | 11% | 30 Jul → | ||
| 13–2 | -0.00 | 11% | 30 Jul → | ||
| 8–13 | 0.09 | 17% | 30 Jul → | ||
| 15–15 | -0.03 | 24% | 29 Jul → | ||
| 12–12 | -0.01 | 19% | 25 Jul → | ||
| 11–13 | 0.07 | 5% | 25 Jul → | ||
| 3–13 | -0.06 | 10% | 25 Jul → | ||
| 7–13 | -0.02 | 16% | 25 Jul → | ||
| 6–13 | -0.02 | 20% | 25 Jul → | ||
| 13–2 | 0.04 | 10% | 25 Jul → | ||
| 13–9 | 0.13 | 21% | 24 Jul → | ||
| 11–13 | -0.03 | 20% | 24 Jul → | ||
| 13–10 | 0.01 | 12% | 24 Jul → | ||
| 9–13 | -0.00 | 16% | 24 Jul → | ||
| 13–10 | -0.02 | 11% | 24 Jul → |
Match data via Leetify.