✪Mike Oxmaul

✪Mike Oxmaul — CS2 Stats

76561197961038347[U:1:772619]Steam profile ↗✓ No bans

427Tracked matches53%Win rate2023Tracked since
CSDB Rating6.2 SolidPositional Player
FaceitLevel 7 · 1,415 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 427 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 1,415 +0 2 Sept – 20 Sept · 4 observations
1,4151,415peak 1,4152 Sept20 Sept
19,622Peak Premier in tracked matches
1,415Highest Faceit ELO seen on CSDB
43Days played since 2024-07-12

Faceit ELO

  • At peak — 1,415
  • Next: Level 8 at 1,531 — 116 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-02
  • Level 6 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG✪Mike OxmaulFACEITLevel 7 · 1,415 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,415csdb.gg/stats

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Performance scores

Aim90
Positioning67
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLWLLLLWWWL

Last 10 vs previous 10: −30pp win rate · +0.07 avg rating · −3.4pp headshot accuracy · +20ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.07), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.12
  • Avg headshot accuracy 22%
  • Avg reaction 571ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 21%
  • Avg reaction 550ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 540ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim9.0
Utility5.0
Positioning6.7
Opening Duels4.8

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower 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 90 — the mechanical foundation is a clear strength.

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

Aim9.0
Positioning6.7
Utility5.0
Mechanics7.2
Opening Duels4.2
Win Impact6.1

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time552ms−48ms
first ⅓ avg 600ms → last ⅓ avg 552ms
Headshot accuracy22.5%+1.0%
first ⅓ avg 21.5% → last ⅓ avg 22.5%

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.

Personal bests

0.16Best match rating · 8–13 · ancient, 18 Jun →
80%Best headshot accuracy · 13–2 · nuke, 12 Jul →
359msFastest reaction time · 13–5 · ancient, 12 May →
13–2Biggest win · nuke, 12 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 70% over 10anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientC2712–1544%0.02
infernoB2612–1446%-0.00
nukeA2212–1055%0.02
dust2S107–370%-0.02
anubisD51–420%0.00
mirage—31–233%-0.02
overpass—31–233%0.03
cache—21–150%0.03
train—11–0100%-0.03
vertigo—11–0100%0.15

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.9%Headshot accuracy
38.4%Accuracy (enemy spotted)
46.4%Spray accuracy
82.3%Counter-strafing
8.4°Preaim
546msReaction time
48.4%T opening success
45.5%CT opening success
0.59Enemies flashed / flash
5.4%Flash assists
8.01HE damage / grenade
8.81Flashes / match

Recommended for you

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–130.1619%18 Jun →
nuke13–90.1318%18 Jun →
inferno7–130.0724%18 Jun →
nuke7–130.1131%18 Jun →
nuke3–130.1520%17 Jun →
ancient3–130.1527%17 Jun →
nuke13–10-0.0115%1 Jun →
ancient13–90.0417%21 May →
cache13–90.0619%21 May →
inferno2–13-0.0620%19 May →
inferno13–50.0131%19 May →
ancient13–100.0713%14 May →
inferno8–130.0018%14 May →
ancient13–100.0110%12 May →
ancient13–50.0422%12 May →
inferno13–8-0.0340%7 May →
nuke8–130.0136%5 May →
dust213–7-0.0531%28 Apr →
dust213–70.0313%26 Apr →
cache14–160.0030%26 Apr →
dust213–80.0027%25 Apr →
anubis1–130.0423%25 Apr →
ancient16–140.0514%25 Apr →
inferno13–90.0222%25 Apr →
anubis13–7-0.0327%25 Apr →
nuke13–11-0.0443%23 Apr →
anubis9–130.0318%23 Apr →
ancient9–130.0125%22 Apr →
ancient10–13-0.0413%9 Apr →
inferno8–90.0226%9 Apr →
ancient4–13-0.083%9 Apr →
inferno13–7-0.0218%7 Apr →
nuke17–190.0832%7 Apr →
ancient13–50.0127%7 Apr →
inferno7–130.0130%7 Apr →
ancient10–13-0.0213%7 Apr →
nuke1–13-0.049%7 Apr →
inferno16–13-0.047%6 Apr →
inferno11–13-0.0425%6 Apr →
nuke13–160.0326%6 Apr →
ancient6–13-0.0220%6 Apr →
ancient7–13-0.0414%6 Apr →
inferno3–130.007%5 Apr →
nuke8–13-0.0720%5 Apr →
ancient13–50.0824%5 Apr →
inferno13–60.0425%5 Apr →
inferno13–80.0326%5 Apr →
dust210–130.0017%4 Apr →
inferno13–30.0118%4 Apr →
inferno13–50.016%3 Apr →
dust213–80.0438%3 Apr →
ancient13–50.1018%3 Apr →
ancient11–13-0.059%3 Apr →
anubis6–130.0311%3 Apr →
ancient6–13-0.0116%24 Feb →
mirage4–13-0.0329%12 Feb →
ancient13–5-0.0113%10 Feb →
nuke7–13-0.0124%5 Feb →
nuke13–9-0.0316%4 Feb →
nuke13–90.0626%3 Feb →
dust21–13-0.0733%1 Feb →
dust213–50.0011%31 Jan →
ancient8–13-0.0411%29 Jan →
inferno10–13-0.0229%27 Jan →
inferno5–11-0.0022%27 Jan →
ancient13–50.0112%27 Jan →
ancient8–130.0621%26 Jan →
dust213–60.0322%26 Jan →
dust23–13-0.0615%24 Jan →
inferno13–90.0214%20 Jan →
inferno9–13-0.0329%19 Jan →
inferno13–40.0123%19 Jan →
overpass10–13-0.0619%19 Jan →
overpass13–80.0212%19 Jan →
inferno0–13-0.0338%19 Jan →
mirage13–30.0127%19 Jan →
ancient6–13-0.0322%18 Jan →
nuke13–110.0625%16 Jan →
dust213–5-0.1122%16 Jan →
ancient14–16-0.0710%15 Jan →
inferno12–160.0110%13 Jan →
nuke13–11-0.0223%13 Jan →
ancient13–30.0219%13 Jan →
anubis7–13-0.0620%13 Jan →
nuke13–6-0.0128%13 Jan →
train13–6-0.0316%1 Jan →
nuke13–7-0.0019%1 Jan →
ancient13–60.0612%1 Jan →
nuke13–9-0.0318%1 Jan →
overpass11–130.1221%4 Aug →
inferno9–13-0.0619%10 Jul →
nuke5–13-0.0127%10 Jul →
mirage2–13-0.038%9 Jun →
ancient10–130.0422%9 Jun →
inferno13–110.0821%9 Jun →
nuke13–100.0917%9 Jun →
inferno4–13-0.059%12 Jul →
vertigo13–60.1514%12 Jul →
nuke3–130.0228%12 Jul →
nuke13–20.0280%12 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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