Oxmeister ♔

Oxmeister ♔ — CS2 Stats

SY76561199676236847[U:1:1715971119]Steam profile ↗✓ No bans

1,236Tracked matches41%Win rate2024Tracked since
1,877Hours in CS4Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating20,206Pink band · top ~8.3% of ranked players (population est.)
FaceitLevel 10 · 1,512 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGOxmeister ♔FACEITLevel 10 · 1,512 ELOSTANDINGTop 12.4% of rankedPREMIER20,206 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning68
Utility55

0–100 skill scores via Leetify.

Recent form

COLD48–51–1Last 10048%Win rateLLWWLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −21.8pp headshot accuracy · +17ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 524ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 530ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 36%
  • Avg reaction 521ms

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 (+2.1 against its own average).

Aim8.0
Utility5.5
Positioning6.8
Opening Duels4.0
Clutch2.4

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim8.0
Positioning6.8
Utility5.5
Mechanics4.1
Opening Duels6.0
Win Impact2.1

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.05
first ⅓ avg 0.05 → last ⅓ avg 0.00
Reaction time531ms+17ms
first ⅓ avg 514ms → last ⅓ avg 531ms
Headshot accuracy33.1%+7.3%
first ⅓ avg 25.7% → last ⅓ avg 33.1%

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

0.32Best match rating · 13–1 · inferno, 15 Jul →
100%Best headshot accuracy · 5–1 · dust2, 29 Sept →
289msFastest reaction time · 5–13 · anubis, 12 Jul →
13–0Biggest win · ancient, 17 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 83% over 6mirageWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C3515–2043%0.02
infernoB3216–1650%0.03
mirageC125–742%0.02
anubisS65–183%0.06
cacheA53–260%-0.00
ancient—43–175%0.01
nuke—31–233%0.04
vertigo—30–30%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,467Lifetime kills
1.14K/D
2,139Matches
55.3%Match win rate
51.3%Headshot %
0.0%Shot accuracy
6,519MVPs
1,352Hours (in match)
1,665Bombs planted
834Bombs defused

Most-used weapons

AK-4713,112
AWP9,178
SSG 081,374
Knife1,345

Lifetime map wins

7,326dust2
3,000inferno
1,057vertigo
785nuke
70train
35office
3italy
2ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

870Matches
51%Win rate
1.04Avg K/D
76.8ADR
52%Headshot %

Clutches & streaks

32%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust224753%1.0615.9
Mirage16751%1.0215.3
Anubis14851%1.0215.2
Inferno12852%1.0315.4
Ancient10549%1.0115.6
Nuke4753%1.1915.4
Overpass1127%0.9612.9
Cache922%0.7813.8

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.

33.2%Headshot accuracy
32.0%Accuracy (enemy spotted)
37.2%Spray accuracy
68.6%Counter-strafing
9.6°Preaim
538msReaction time
60.6%T opening success
47.3%CT opening success
0.57Enemies flashed / flash
7.9%Flash assists
7.40HE damage / grenade
11.24Flashes / match

Recommended for you

Spend your practice time on Mirage

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0529%24 Oct →
inferno2–13-0.0528%20 Oct →
inferno13–30.1031%13 Oct →
inferno4–120.0926%10 Oct →
dust210–130.0625%10 Oct →
anubis13–100.0425%10 Oct →
dust29–13-0.0428%8 Oct →
inferno3–13-0.1043%8 Oct →
inferno2–9-0.140%8 Oct →
dust211–130.0516%6 Oct →
mirage10–30.0630%6 Oct →
dust22–13-0.0963%5 Oct →
dust27–130.0432%3 Oct →
inferno6–13-0.0029%30 Sept →
inferno7–13-0.0343%29 Sept →
inferno13–70.2564%29 Sept →
dust25–1-0.08100%29 Sept →
inferno2–6-0.0460%29 Sept →
nuke13–40.1329%25 Sept →
cache13–8-0.0520%20 Sept →
dust213–9-0.0023%18 Sept →
mirage15–150.0744%17 Sept →
inferno10–130.1529%13 Sept →
dust210–13-0.0532%13 Sept →
dust213–2-0.0240%11 Sept →
inferno1–13-0.0614%11 Sept →
inferno4–13-0.0134%11 Sept →
dust213–40.0425%11 Sept →
nuke7–13-0.0437%6 Sept →
inferno13–11-0.0032%3 Sept →
inferno5–9-0.0920%1 Sept →
dust29–13-0.0331%1 Sept →
dust20–13-0.039%1 Sept →
mirage22–19-0.0229%30 Aug →
dust28–13-0.0217%29 Aug →
dust213–11-0.0135%29 Aug →
inferno7–9-0.0130%28 Aug →
dust216–140.0641%27 Aug →
mirage5–13-0.0156%27 Aug →
dust213–60.0224%27 Aug →
mirage9–13-0.0112%27 Aug →
anubis16–140.0121%25 Aug →
inferno13–110.0538%23 Aug →
inferno9–70.0117%14 Aug →
inferno6–90.0239%14 Aug →
ancient13–40.0418%14 Aug →
inferno10–13-0.0456%13 Aug →
cache6–130.0024%13 Aug →
cache13–10.0456%13 Aug →
vertigo11–13-0.068%12 Aug →
ancient1–13-0.0314%8 Aug →
dust23–130.0235%8 Aug →
mirage1–13-0.0714%7 Aug →
dust211–130.1021%5 Aug →
inferno9–20.0322%5 Aug →
dust26–13-0.0328%5 Aug →
dust25–13-0.0730%5 Aug →
dust211–13-0.0627%5 Aug →
inferno9–60.0334%4 Aug →
inferno9–70.1441%2 Aug →
inferno4–13-0.0129%1 Aug →
dust213–30.1430%1 Aug →
vertigo8–13-0.0226%29 Jul →
anubis13–80.0933%29 Jul →
inferno13–70.0724%29 Jul →
dust27–130.0930%29 Jul →
dust213–50.1437%28 Jul →
vertigo0–5-0.070%27 Jul →
mirage13–100.0313%27 Jul →
dust213–20.0115%27 Jul →
mirage7–130.0440%27 Jul →
mirage10–130.0632%26 Jul →
inferno13–110.1337%26 Jul →
dust21–8-0.090%26 Jul →
cache13–80.0932%26 Jul →
anubis13–90.0818%23 Jul →
inferno13–10-0.0035%22 Jul →
inferno9–60.0820%22 Jul →
inferno2–4-0.0429%22 Jul →
cache2–11-0.0919%19 Jul →
nuke11–130.0221%18 Jul →
dust22–13-0.0213%18 Jul →
inferno11–13-0.0325%18 Jul →
mirage13–2-0.0233%17 Jul →
ancient13–0-0.0055%17 Jul →
dust213–2-0.060%17 Jul →
mirage2–70.020%17 Jul →
inferno13–60.0233%16 Jul →
dust213–160.0728%16 Jul →
dust213–20.0826%16 Jul →
dust213–40.1449%16 Jul →
inferno13–10.3236%15 Jul →
dust213–40.1827%15 Jul →
dust213–40.1931%15 Jul →
ancient13–10.0531%15 Jul →
dust211–130.0936%15 Jul →
anubis13–90.0324%15 Jul →
inferno13–90.1325%14 Jul →
mirage13–70.0844%14 Jul →
anubis5–130.0923%12 Jul →

Match data via Leetify.

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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