TM Opera O

TM Opera O — CS2 Stats

ID76561199055278738[U:1:1095013010]Steam profile ↗✓ No bans

229Tracked matches75%Win rate2020Tracked since
362Hours in CS3Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
Premier CS Rating12,999Blue band · top ~39% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 13 Aug 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,999 +273 13 Aug19 Sept · 20 days played
11,17213,769peak 13,76913 Aug19 Sept
13,867Peak Premier in tracked matches
42Days played since 2025-08-13

Premier CS Rating

  • 770 below peak (13,769)
  • -42 over 30 days · steady
  • Next: Purple band at 15,000 2,001 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-19
  • Light Blue band first seen 2026-09-19

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 Blue band among CSDB-tracked players (n=19,962), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate58.5%41.9%44.3%above
Shot accuracy11.4%9.6%11.8%0.4% short
Kill/death ratio1.270.981.03above
Match win rate54.0%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGTM Opera OPREMIER12,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim94
Positioning74
Utility42

0–100 skill scores via Leetify.

Recent form

HOT60355Last 10060%Win rateWWTWWWWWLW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −1.5pp headshot accuracy · −28ms reaction

Win rate 0pp 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

  • 401 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 38%
  • Avg reaction 530ms

Last 10

  • 811 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 34%
  • Avg reaction 555ms

Last 20

  • 1631 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 35%
  • 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 PlayerPositioning stands above the rest of this profile (+1.7 against its own average).

Aim9.4
Utility4.2
Positioning7.4
Opening Duels5.4

Sharp aimerExcellent counter-strafingStrong CT-side opener

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

ropz

Plays most like ropz 86% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

T-side openings. Opening success drops from 59% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim9.4
Positioning7.4
Utility4.2
Mechanics9.1
Opening Duels4.3
Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time574ms−26ms
first ⅓ avg 600ms → last ⅓ avg 574ms
Headshot accuracy33.2%+5.1%
first ⅓ avg 28.1% → last ⅓ avg 33.2%

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 · 9–6 · inferno, 15 Jun
80%Best headshot accuracy · 13–2 · vertigo, 31 Jul
406msFastest reaction time · 16–14 · ancient, 17 Aug
13–0Biggest win · overpass, 7 Dec

Across the last 100 tracked matches.

Highlights

10Longest win streak
W2Current streak
1010In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 91% over 11vertigoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB44232152%0.03
dust2C146843%0.03
infernoS1110191%0.05
ancientA95456%0.02
vertigoC52340%0.05
anubisS54180%0.03
nuke43175%0.07
overpass43175%0.08
train220100%0.02
cache110100%0.04
office110100%0.09

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,711Lifetime kills
1.27K/D · Top 10% of Blue band
506Matches
54.0%Match win rate · Top 5% of Blue band
58.5%Headshot % · Top 5% of Blue band
11.4%Shot accuracy · Top 50% of Blue band
1,374MVPs
189Hours (in match)
739Bombs planted
187Bombs defused

Most-used weapons

Lifetime map wins

512inferno
399dust2
261vertigo
196nuke
81train
44cbble
13office
7lake

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

Skill profile

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

32.2%Headshot accuracy
37.3%Accuracy (enemy spotted)
39.6%Spray accuracy
90.7%Counter-strafing
8.6°Preaim
572msReaction time
34.7%T opening success
59.5%CT opening success
0.50Enemies flashed / flash
6.3%Flash assists
11.36HE damage / grenade
5.07Flashes / 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 34.6583% — below the 40% mark we flag

Spend your practice time on Vertigo

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
cache16–130.0435%16 Sept
ancient13–60.0828%16 Sept
dust212–120.0241%9 Sept
ancient16–140.0435%17 Aug
dust213–80.0752%14 Aug
train13–10.0629%12 Aug
mirage16–130.0929%12 Aug
nuke13–90.0423%6 Aug
ancient2–13-0.0342%6 Aug
mirage13–50.0225%6 Aug
nuke13–70.1024%5 Aug
inferno13–30.0250%5 Aug
mirage14–160.0423%5 Aug
nuke13–80.0820%5 Aug
mirage13–100.0731%3 Aug
inferno13–110.1424%3 Aug
mirage8–130.1237%3 Aug
mirage13–70.1128%3 Aug
vertigo13–20.0180%31 Jul
dust213–50.1136%31 Jul
mirage5–13-0.0246%31 Jul
dust213–110.0534%31 Jul
mirage13–40.0519%30 Jul
vertigo2–13-0.0232%30 Jul
vertigo12–120.0120%30 Jul
mirage3–130.0330%20 Jul
mirage13–60.1334%20 Jul
mirage3–130.0319%17 Jul
inferno13–70.0432%17 Jul
mirage13–30.0127%17 Jul
dust24–13-0.0224%16 Jul
dust24–130.0637%16 Jul
dust213–80.1152%16 Jul
mirage13–40.0740%15 Jul
mirage13–1-0.0240%15 Jul
mirage11–130.0933%15 Jul
inferno8–130.0529%15 Jul
inferno13–70.0437%15 Jul
mirage2–7-0.0780%14 Jul
mirage5–13-0.0729%14 Jul
mirage3–13-0.0454%10 Jul
mirage0–13-0.070%10 Jul
ancient11–13-0.0217%8 Jul
anubis2–130.0029%8 Jul
mirage13–5-0.0221%8 Jul
mirage13–50.0037%3 Jul
inferno13–11-0.0138%24 Jun
inferno13–60.0538%24 Jun
mirage13–20.0236%24 Jun
anubis13–20.0657%24 Jun
anubis13–50.0848%24 Jun
inferno13–2-0.0127%19 Jun
mirage13–110.0720%19 Jun
inferno9–60.1641%15 Jun
mirage3–13-0.0448%15 Jun
mirage13–80.0126%15 Jun
ancient11–130.0124%15 Jun
mirage8–13-0.0028%15 Jun
mirage8–130.0124%11 Jun
mirage13–110.1027%11 Jun
nuke8–130.0624%11 Jun
mirage12–12-0.0024%10 Jun
dust26–2-0.1030%10 Jun
anubis13–8-0.0325%28 May
dust213–60.0336%26 May
mirage13–11-0.0147%26 May
mirage13–90.0432%18 Dec
vertigo7–130.1130%18 Dec
vertigo13–50.1331%18 Dec
overpass13–90.0333%12 Dec
dust215–150.0419%12 Dec
ancient11–13-0.0524%7 Dec
overpass13–00.1432%7 Dec
mirage9–130.0832%7 Dec
overpass13–30.1039%26 Nov
ancient12–50.0233%14 Nov
mirage13–70.0525%14 Nov
dust24–130.1349%9 Oct
mirage11–130.0715%9 Oct
mirage12–120.0728%8 Oct
dust211–130.0144%3 Oct
mirage13–40.0827%3 Oct
office13–80.0948%3 Oct
mirage16–140.0228%3 Oct
overpass11–130.0324%26 Sept
train13–5-0.0322%11 Sept
dust211–13-0.065%3 Sept
mirage6–130.0328%3 Sept
dust26–130.0325%3 Sept
ancient13–80.0918%3 Sept
inferno13–100.0326%2 Sept
mirage4–13-0.0118%1 Sept
mirage11–130.0229%30 Aug
mirage13–5-0.0228%30 Aug
inferno13–80.0554%28 Aug
anubis13–110.0217%22 Aug
mirage4–130.0225%22 Aug
mirage16–140.0429%22 Aug
ancient13–20.0323%22 Aug
mirage13–100.0918%13 Aug

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →