Ozzy Orschbohrn

Ozzy Orschbohrn — CS2 Stats

MG76561198158455224[U:1:198189496]Steam profile ↗✓ No bans

592Tracked matches60%Win rate2023Tracked since
624Hours in CS
CSDB Rating6.6 SolidSupport
Premier CS Rating17,540Purple band · top ~18.3% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 592 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,540 -3,331 3 Mar – 21 Oct · 30 days played
16,92123,876peak 23,8763 Mar21 Oct
23,876Peak Premier in tracked matches
37Days played since 2026-03-03

Premier CS Rating

  • 6,336 below peak (23,876)
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 2,460 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate48.0%46.8%48.2%meets
Shot accuracy9.5%13.0%13.2%3.7% short
Kill/death ratio1.221.061.07above
Match win rate55.0%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGOzzy OrschbohrnFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER17,540 · Purple bandcsdb.gg/stats

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Performance scores

Aim78
Positioning58
Utility67

0–100 skill scores via Leetify.

Recent form

HOT55–44–1Last 10055%Win rateLWWWLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +3.3pp headshot accuracy · +21ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 634ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 609ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 598ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim7.8
Utility6.7
Positioning5.8
Opening Duels2.9
Clutch1.0

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Reaction time. 577ms 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

Aim7.8
Positioning5.8
Utility6.7
Mechanics6.7
Opening Duels2.5
Win Impact8.3

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time584ms−47ms
first ⅓ avg 631ms → last ⅓ avg 584ms
Headshot accuracy21.6%+0.4%
first ⅓ avg 21.2% → last ⅓ avg 21.6%

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

0.19Best match rating · 4–3 · anubis, 1 Jun →
45%Best headshot accuracy · 13–6 · ancient, 8 Mar →
367msFastest reaction time · 11–13 · inferno, 28 Jun →
13–1Biggest win · mirage, 1 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–11In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 69% over 13infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA3318–1555%0.04
ancientS139–469%0.04
infernoD134–931%0.02
cacheA117–464%0.04
nukeA117–464%0.02
overpassB105–550%0.01
dust2S64–267%0.03
anubis—31–233%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,701Lifetime kills
1.22K/D · Top 25% of Level 8 players
1,053Matches
55.0%Match win rate · Top 10% of Level 8 players
48.0%Headshot % · Top 50% of Level 8 players
9.5%Shot accuracy
3,055MVPs
624Hours (in match)
1,242Bombs planted
427Bombs defused

Most-used weapons

Lifetime map wins

1,907inferno
937dust2
780nuke
446office
355cbble
215train
84vertigo
32assault

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

Faceit stats

Combat

50Matches
66%Win rate
1.26Avg K/D
91.8ADR
48%Headshot %

Clutches & streaks

25%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1471%1.4016.6
Ancient1050%1.0313.9
Overpass786%1.5317.3
Inferno560%1.0815.4
Anubis450%1.2413.5
Nuke475%1.0215.0
Vertigo367%1.3016.7

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.

21.3%Headshot accuracy
36.3%Accuracy (enemy spotted)
42.3%Spray accuracy
80.1%Counter-strafing
10.7°Preaim
577msReaction time
33.5%T opening success
46.7%CT opening success
0.56Enemies flashed / flash
9.2%Flash assists
10.83HE damage / grenade
14.26Flashes / match

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.

  1. 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 33.4856% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0518%8 Sept →
mirage13–90.0117%8 Sept →
dust213–70.0736%5 Sept →
cache13–50.1225%3 Sept →
nuke6–13-0.0434%3 Sept →
ancient14–160.0419%1 Sept →
cache13–20.1424%31 Aug →
mirage16–130.0616%28 Aug →
inferno13–11-0.0122%28 Aug →
nuke13–60.0719%25 Aug →
mirage13–50.1029%12 Aug →
mirage9–13-0.0225%11 Aug →
mirage13–70.0914%7 Aug →
cache13–10-0.0212%29 Jul →
mirage13–50.1729%24 Jul →
cache13–100.0422%23 Jul →
mirage11–130.0122%21 Jul →
cache12–160.0019%21 Jul →
inferno9–130.1125%21 Jul →
mirage0–13-0.080%21 Jul →
overpass13–7-0.0123%17 Jul →
ancient16–130.0518%3 Jul →
cache5–120.0226%28 Jun →
mirage6–130.0310%28 Jun →
inferno11–13-0.0022%28 Jun →
mirage13–70.1123%28 Jun →
nuke13–9-0.0019%28 Jun →
mirage5–13-0.0521%14 Jun →
nuke13–30.0738%14 Jun →
ancient13–10-0.0519%14 Jun →
cache13–20.0523%14 Jun →
overpass13–9-0.0610%7 Jun →
cache13–60.0636%4 Jun →
ancient13–40.0213%4 Jun →
anubis9–130.0324%4 Jun →
dust213–110.0717%4 Jun →
overpass9–130.0821%4 Jun →
mirage13–3-0.0124%4 Jun →
mirage13–50.0024%3 Jun →
ancient15–150.0518%1 Jun →
mirage13–10.0129%1 Jun →
inferno8–130.0325%1 Jun →
mirage13–60.1241%1 Jun →
overpass9–13-0.0711%1 Jun →
inferno8–130.0620%1 Jun →
anubis4–30.1940%1 Jun →
cache13–40.0019%31 May →
mirage11–13-0.0224%31 May →
inferno11–13-0.0322%31 May →
inferno14–160.0227%31 May →
cache9–130.0431%31 May →
inferno4–13-0.0229%22 May →
overpass13–90.0329%22 May →
dust213–70.0120%22 May →
mirage13–90.0414%22 May →
inferno10–130.0029%22 May →
mirage14–160.0426%22 May →
ancient13–10.0221%22 May →
mirage7–13-0.0514%20 May →
nuke8–130.0636%20 May →
overpass7–13-0.0515%20 May →
cache8–13-0.0218%20 May →
nuke13–30.0925%29 Mar →
ancient13–80.0611%29 Mar →
mirage13–100.028%29 Mar →
ancient13–110.1010%29 Mar →
overpass13–60.0526%22 Mar →
dust210–130.0315%22 Mar →
mirage12–160.0517%22 Mar →
mirage13–90.0815%21 Mar →
inferno13–50.0517%21 Mar →
inferno13–7-0.0421%21 Mar →
inferno14–16-0.0110%18 Mar →
mirage1–70.0120%16 Mar →
overpass4–130.0223%15 Mar →
ancient13–30.0323%15 Mar →
mirage9–130.0218%15 Mar →
ancient5–130.0114%13 Mar →
nuke13–20.0523%13 Mar →
mirage16–140.0419%9 Mar →
mirage16–140.1023%9 Mar →
nuke10–13-0.0213%9 Mar →
ancient14–160.0722%9 Mar →
overpass13–50.0615%9 Mar →
mirage3–13-0.0116%9 Mar →
ancient13–60.0945%8 Mar →
nuke8–130.0019%8 Mar →
mirage11–130.0729%8 Mar →
mirage13–100.0118%8 Mar →
ancient16–130.0118%8 Mar →
inferno13–90.0724%8 Mar →
mirage4–130.0927%8 Mar →
overpass14–160.0226%5 Mar →
anubis9–13-0.0222%5 Mar →
mirage13–50.0630%5 Mar →
nuke13–6-0.0222%5 Mar →
dust216–14-0.0411%4 Mar →
nuke13–11-0.0042%4 Mar →
mirage13–50.0214%4 Mar →
dust28–130.0330%3 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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