Opus

Opus — CS2 Stats

DK76561197973504434[U:1:13238706]Steam profile ↗✓ No bans

692Tracked matches52%Win rate2021Tracked since
2,979Hours in CS3Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

+7Tracked matches · now 692
−2.2ppWin rate · 54.2% → 52.0%

Rating over time

Premier CS Rating: 21,167 -1,482 26 Apr – 22 Jun · 16 days played
21,16722,986peak 22,98626 Apr22 Jun
23,095Peak Premier in tracked matches
46Days played since 2026-04-19

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.7%42.7%43.8%2.1% short
Shot accuracy15.4%11.2%12.0%above
Kill/death ratio1.130.991.02above
Match win rate45.5%43.9%44.7%meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGOpusFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83
Positioning49
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY44–44–12Last 10044%Win rateWLLLLWLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.4pp headshot accuracy · +27ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 567ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 583ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 569ms

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 (+1.9 against its own average).

Aim8.3
Utility4.8
Positioning4.9
Opening Duels2.2
Clutch0.0

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

b1t

Plays most like b1t 95% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 561ms 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

Aim8.3
Positioning4.9
Utility4.8
Mechanics5.8
Opening Duels1.2
Win Impact5.7

Composite 5.8/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time572ms−60ms
first ⅓ avg 632ms → last ⅓ avg 572ms
Headshot accuracy19.9%+0.7%
first ⅓ avg 19.2% → last ⅓ avg 19.9%

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

0.17Best match rating · 13–4 · italy, 1 Sept →
50%Best headshot accuracy · 0–7 · anubis, 4 May →
422msFastest reaction time · 8–13 · office, 24 Aug →
13–2Biggest win · train, 18 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 64% over 11overpassWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC167–944%-0.01
trainA127–558%-0.01
cacheD124–833%-0.00
infernoA117–464%0.00
anubisD93–633%-0.02
nukeD93–633%-0.02
officeA74–357%0.01
overpassD61–517%-0.02
vertigoA53–260%0.01
dust2—41–325%-0.00
italy—31–233%0.04
fachwerk—22–0100%0.06
ancient—20–20%-0.01
shelter—11–0100%0.01
boulder—10–10%0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,584Lifetime kills
1.13K/D · Top 25% of Level 4 players
5,958Matches
45.5%Match win rate · Top 50% of Level 4 players
41.7%Headshot %
15.4%Shot accuracy · Top 25% of Level 4 players
12,457MVPs
1,753Hours (in match)
2,723Bombs planted
2,208Bombs defused

Most-used weapons

AK-4724,146
AWP10,170
MP92,511
SG 5532,355
AUG2,349

Lifetime map wins

4,765inferno
4,599nuke
4,108dust2
3,584vertigo
1,581train
1,342office
445lake
394cbble

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

Faceit stats

Combat

78Matches
46%Win rate
1.07Avg K/D
81.7ADR
43%Headshot %

Clutches & streaks

20%1v1 clutch win
42%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis425%0.9616.0
Mirage425%1.3421.8
Ancient20%1.2217.0
Dust220%1.0111.5
Inferno10%0.8113.0
Nuke10%1.4320.0

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.

19.8%Headshot accuracy
37.7%Accuracy (enemy spotted)
45.7%Spray accuracy
76.1%Counter-strafing
8.5°Preaim
561msReaction time
29.5%T opening success
40.0%CT opening success
0.52Enemies flashed / flash
4.0%Flash assists
7.97HE damage / grenade
7.75Flashes / 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 29.5475% — below the 40% mark we flag

Spend your practice time on Overpass

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–60.1015%13 Oct →
train9–13-0.1019%13 Oct →
anubis8–13-0.0520%22 Sept →
vertigo11–13-0.0110%15 Sept →
nuke10–130.0218%14 Sept →
dust213–50.0144%14 Sept →
italy7–13-0.0215%7 Sept →
office13–50.0014%2 Sept →
office13–80.0421%2 Sept →
fachwerk13–40.0621%1 Sept →
italy13–40.1725%1 Sept →
italy12–12-0.0418%29 Aug →
shelter13–80.0124%29 Aug →
overpass7–13-0.0617%29 Aug →
anubis13–9-0.0427%29 Aug →
nuke0–13-0.0618%28 Aug →
cache9–130.0021%27 Aug →
cache4–13-0.0714%27 Aug →
cache12–12-0.0220%26 Aug →
office13–50.0717%26 Aug →
inferno7–13-0.0521%24 Aug →
office8–13-0.0320%24 Aug →
cache12–12-0.0110%18 Aug →
office12–12-0.0129%18 Aug →
train13–20.0312%18 Aug →
train13–10-0.0518%18 Aug →
train6–2-0.0418%15 Aug →
train12–120.0721%15 Aug →
fachwerk13–80.0622%11 Jul →
boulder10–130.0621%10 Jul →
office13–90.0325%8 Jul →
office9–13-0.0321%8 Jul →
cache10–130.0320%6 Jul →
train13–30.0725%23 Jun →
train3–13-0.0811%23 Jun →
nuke15–15-0.0220%22 Jun →
nuke11–13-0.0725%22 Jun →
train11–13-0.0421%22 Jun →
dust210–13-0.0434%16 Jun →
mirage13–110.0632%15 Jun →
overpass8–13-0.0616%12 Jun →
inferno13–9-0.0112%12 Jun →
mirage16–14-0.0120%12 Jun →
mirage9–13-0.0323%12 Jun →
anubis13–60.0615%11 Jun →
mirage7–13-0.0333%11 Jun →
mirage13–160.0221%11 Jun →
mirage13–16-0.0121%10 Jun →
anubis9–13-0.0317%10 Jun →
inferno16–14-0.0126%8 Jun →
overpass2–13-0.0317%7 Jun →
mirage11–130.0319%7 Jun →
mirage13–90.0226%4 Jun →
vertigo13–80.1019%4 Jun →
vertigo13–11-0.0317%4 Jun →
inferno13–6-0.0213%2 Jun →
inferno9–70.0714%2 Jun →
inferno10–13-0.018%1 Jun →
mirage13–100.0014%28 May →
overpass13–30.089%28 May →
nuke13–50.105%28 May →
ancient14–16-0.045%28 May →
mirage10–13-0.0819%27 May →
anubis11–13-0.0416%27 May →
anubis13–8-0.0211%27 May →
mirage13–9-0.0117%26 May →
cache13–50.0112%26 May →
nuke13–8-0.0216%26 May →
cache13–3-0.0220%26 May →
anubis9–130.0414%25 May →
mirage13–5-0.0335%25 May →
inferno10–130.0114%21 May →
dust25–130.0017%11 May →
cache4–13-0.0813%11 May →
cache13–60.0219%7 May →
mirage3–13-0.0027%7 May →
cache12–120.0419%4 May →
anubis0–70.0250%4 May →
vertigo9–13-0.0113%4 May →
cache9–130.0321%4 May →
inferno8–80.0718%4 May →
ancient12–120.0217%29 Apr →
cache13–90.0727%29 Apr →
overpass6–13-0.0313%28 Apr →
mirage7–13-0.0110%28 Apr →
inferno13–11-0.0017%27 Apr →
nuke2–13-0.0620%27 Apr →
nuke13–7-0.0438%27 Apr →
inferno13–50.0117%27 Apr →
mirage7–13-0.0122%27 Apr →
inferno13–3-0.058%26 Apr →
anubis5–13-0.1014%26 Apr →
vertigo9–60.019%26 Apr →
mirage13–9-0.018%26 Apr →
train12–12-0.0322%26 Apr →
train4–00.0227%24 Apr →
train13–6-0.0716%24 Apr →
dust212–120.0124%23 Apr →
nuke8–13-0.0519%21 Apr →
overpass15–150.0011%19 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.