oprah

oprah — CS2 Stats

76561198839528853[U:1:879263125]Steam profile ↗

1,008Tracked matches58%Win rate2020Tracked since
771Hours in CS
CSDB Rating5.2 DevelopingHybrid Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate37.6%42.2%42.7%5.1% short
Shot accuracy9.9%11.9%10.8%0.9% short
Kill/death ratio0.890.981.000.10 short
Match win rate45.7%43.6%44.1%above

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGoprahFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning54
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY47476Last 10047%Win rateWLWWLWLWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.5
Aggression7.2
Utility1.0
Positioning5.4
Opening Duels2.4

Limited utility dependence

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

b1t

Plays most like b1t 80% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 688ms 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

Aim6.5
Positioning5.4
Utility1.0
Mechanics6.6
Opening Duels2.4
Win Impact7.6

Composite 5.2/10 (Developing), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time687ms+20ms
first ⅓ avg 667ms → last ⅓ avg 687ms
Headshot accuracy25.9%+0.7%
first ⅓ avg 25.2% → last ⅓ avg 25.9%

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.

Highlights

0.18Best rating — office 3–0
131Biggest win — nuke
4Longest win streak
67In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 80% over 5infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
officeD2481633%0.05
mirageB147750%0.01
ancientA127558%-0.01
overpassA127558%-0.00
infernoD103730%-0.02
nukeC83538%0.00
dust2S54180%0.03
cache31233%-0.00
alpine31233%-0.01
anubis21150%-0.04
agency220100%0.01
vertigo21150%0.04
stronghold110100%0.08
warden1010%0.06
train110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,837Lifetime kills
0.89K/D
2,057Matches
45.7%Match win rate · Top 50% of Level 3 players
37.6%Headshot %
9.9%Shot accuracy
3,672MVPs
771Hours (in match)
1,411Bombs planted
765Bombs defused

Most-used weapons

Lifetime map wins

2,322inferno
1,896office
1,686nuke
1,524vertigo
1,502dust2
249train
30safehouse
24cbble

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

Faceit stats

Combat

54Matches
50%Win rate
1.06Avg K/D
ADR
34%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1173%1.2614.1
Anubis922%0.8613.0
Ancient838%0.9015.8
Overpass667%1.1812.3
Vertigo450%0.8413.0
Nuke3100%1.5020.0
Inferno250%1.3216.5

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.

24.6%Headshot accuracy
36.4%Accuracy (enemy spotted)
32.6%Spray accuracy
79.8%Counter-strafing
10.9°Preaim
688msReaction time
35.6%T opening success
43.9%CT opening success
0.19Enemies flashed / flash
0.7%Flash assists
2.14HE damage / grenade
3.38Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1898 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 35.6003% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–30.078%5 Aug
anubis7–13-0.0516%2 Aug
mirage13–100.0713%2 Aug
ancient13–9-0.0514%1 Aug
mirage8–130.0511%1 Aug
dust213–50.1028%31 Jul
mirage6–13-0.0418%31 Jul
office13–40.0183%31 Jul
office0–5-0.0720%1 Jul
inferno3–13-0.0227%14 Jun
overpass8–13-0.0018%14 Jun
cache13–8-0.0023%12 Jun
office13–100.0338%12 Jun
office13–60.0636%11 Jun
office4–130.0316%11 Jun
overpass13–20.0238%20 May
cache12–12-0.0212%15 May
cache12–120.0121%10 May
stronghold13–50.0836%7 Mar
alpine12–12-0.0328%1 Mar
warden10–130.0630%1 Mar
dust213–9-0.0217%16 Feb
anubis13–5-0.0312%16 Feb
office13–110.1245%14 Feb
alpine12–120.0418%9 Feb
alpine13–7-0.0325%31 Jan
overpass5–13-0.0417%19 Jan
office9–80.0339%17 Jan
dust213–70.0218%17 Jan
ancient11–13-0.0822%17 Jan
mirage13–11-0.0723%11 Jan
agency13–10-0.0141%8 Jan
office7–40.0443%8 Jan
office6–20.1622%27 Dec
office10–130.0923%27 Dec
nuke11–90.0526%26 Dec
office13–80.1032%2 Dec
office3–13-0.1523%2 Dec
office5–11-0.0245%22 Nov
office3–13-0.0328%13 Oct
vertigo13–2-0.0420%24 Sept
overpass11–13-0.0622%18 Sept
nuke13–10.1020%18 Sept
mirage13–3-0.0215%18 Sept
ancient12–120.0023%18 Sept
office13–70.1433%18 Sept
office12–120.0124%13 Sept
office3–130.0844%13 Sept
overpass13–10-0.0112%29 Aug
mirage4–13-0.0515%25 Aug
nuke13–11-0.0118%25 Aug
ancient13–30.0521%24 Aug
overpass9–13-0.0324%24 Aug
inferno6–130.0123%24 Aug
inferno10–13-0.0323%22 Aug
inferno13–7-0.0312%21 Aug
mirage3–13-0.0322%21 Aug
ancient13–9-0.0211%21 Aug
office7–9-0.0225%20 Aug
office3–40.0929%20 Aug
nuke13–100.0317%19 Aug
ancient13–60.0416%19 Aug
mirage13–100.0314%19 Aug
overpass13–60.0513%17 Aug
mirage10–130.0917%17 Aug
overpass13–110.005%17 Aug
office9–130.0822%16 Aug
nuke6–13-0.077%10 Aug
inferno6–13-0.0719%10 Aug
ancient9–130.0417%9 Aug
train13–90.0111%9 Aug
ancient5–13-0.0319%9 Aug
ancient13–9-0.0122%8 Aug
overpass13–100.0430%8 Aug
nuke10–13-0.0220%6 Aug
inferno2–13-0.0628%6 Aug
mirage5–13-0.0327%6 Aug
inferno13–110.0535%5 Aug
ancient13–7-0.0022%5 Aug
nuke10–13-0.0525%5 Aug
overpass13–9-0.0222%3 Aug
dust213–50.0618%3 Aug
overpass13–30.0724%3 Aug
mirage13–30.0522%3 Aug
mirage9–130.0223%3 Aug
inferno9–13-0.0720%3 Aug
mirage13–5-0.0116%29 Jul
ancient13–11-0.0520%29 Jul
inferno9–13-0.0218%27 Jul
overpass10–13-0.0520%27 Jul
office6–60.0828%12 Jul
office6–130.1341%12 Jul
mirage13–60.0331%7 Jul
dust210–130.0014%7 Jul
agency13–40.0331%6 Jul
office13–5-0.0030%6 Jul
vertigo6–90.1136%6 Jul
office3–00.18100%6 Jul
nuke4–13-0.0117%4 Jul
ancient8–13-0.0417%4 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →