oldo7

oldo7 — CS2 Stats

SK76561198110223917[U:1:149958189]Steam profile ↗✓ No bans

1,014Tracked matches45%Win rate2021Tracked since
2,117Hours in CS5Hrs last 2 wks
CSDB Rating5.7 SolidAggressive 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=607), 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 rate38.0%42.1%42.5%4.5% short
Shot accuracy15.3%12.1%10.9%above
Kill/death ratio1.200.990.99above
Match win rate47.2%43.9%44.2%above

This profile matches the typical Level 4 player on 3 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.GGoldo7FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning53
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY49447Last 10049%Win rateLTWWLWLLLW

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.5
Aggression7.6
Utility3.3
Positioning5.3
Opening Duels3.6

Sharp aimerLimited 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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

Positioning. Positioning trails aim by 31 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.

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

Aim8.5
Positioning5.3
Utility3.3
Mechanics5.9
Opening Duels3.6
Win Impact3.3

Composite 5.7/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time466ms−30ms
first ⅓ avg 497ms → last ⅓ avg 466ms
Headshot accuracy15.7%+1.2%
first ⅓ avg 14.5% → last ⅓ avg 15.7%

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

0.12Best rating — office 13–10
130Biggest win — italy
5Longest win streak
29In matches decided by ≤2 rounds
1Overtime games

Map breakdown

MapGradePlayedRecordWin rateAvg rating
officeB86414548%0.02
ancient32167%0.03
dust2220100%0.04
cache21150%-0.06
nuke21150%-0.00
italy110100%0.03
anubis1010%-0.00
vertigo1010%-0.03
inferno1010%0.01
mirage110100%0.09

Across the last 100 tracked matches.

Lifetime stats

69,482Lifetime kills
1.20K/D · Top 25% of Level 3 players
3,322Matches
47.2%Match win rate · Top 25% of Level 3 players
38.0%Headshot %
15.3%Shot accuracy · Top 50% of Level 3 players
8,742MVPs
1,291Hours (in match)
3,596Bombs planted
664Bombs defused

Most-used weapons

AK-4712,516
AWP8,994
MAG-73,485
MP72,946
MAC-102,047
P901,619

Lifetime map wins

9,767office
5,557dust2
4,055inferno
3,700nuke
2,493vertigo
366cbble
138train
105lake

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.

16.8%Headshot accuracy
35.7%Accuracy (enemy spotted)
41.0%Spray accuracy
76.7%Counter-strafing
8.3°Preaim
443msReaction time
42.9%T opening success
46.2%CT opening success
0.22Enemies flashed / flash
4.1%Flash assists
13.20HE damage / grenade
2.24Flashes / 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 0.2227 — below the 0.5 mark we flag

    Grenade Lineups

Recent matches

MapScoreRatingHS%Date
office5–13-0.086%25 Aug
office12–120.0028%22 Aug
office3–00.000%22 Aug
italy13–00.0317%21 Aug
office1–13-0.070%21 Aug
office13–90.0223%21 Aug
office9–130.0211%17 Aug
office11–13-0.0532%17 Aug
office1–8-0.100%19 Jul
office13–110.0510%26 Jun
office2–130.0017%26 Jun
office6–130.0147%22 Jun
office13–60.0325%18 Jun
office13–40.0337%18 Jun
office11–13-0.0414%7 Jun
office10–130.055%31 May
office13–6-0.016%30 May
dust213–50.0713%30 May
ancient13–40.079%30 May
office11–13-0.0120%29 May
office11–130.0429%29 May
office13–50.1117%29 May
office6–130.0615%27 May
office7–13-0.0112%23 May
office11–130.0017%23 May
office3–13-0.0831%23 May
office13–7-0.050%23 May
office13–70.047%15 May
office9–130.089%15 May
office13–100.0914%7 May
office13–80.0229%30 Apr
cache13–9-0.078%29 Apr
cache8–13-0.0512%29 Apr
office13–50.0120%20 Apr
office13–100.0814%18 Apr
office7–13-0.047%16 Apr
office7–13-0.004%12 Apr
office13–40.0311%11 Apr
office9–130.0135%26 Mar
office11–130.0113%25 Mar
office13–6-0.097%25 Mar
office7–13-0.0525%25 Mar
office13–60.0118%24 Mar
office2–9-0.0138%22 Mar
office13–90.0120%22 Mar
office13–40.0210%22 Mar
office5–13-0.0717%22 Mar
office13–90.1011%21 Mar
office8–13-0.0115%12 Mar
office13–70.0710%12 Mar
office13–50.0415%10 Mar
office13–70.029%10 Mar
office13–8-0.056%10 Mar
office12–12-0.0421%9 Mar
office13–40.0119%8 Mar
office12–12-0.015%7 Mar
office7–13-0.0529%5 Mar
office6–130.0127%28 Feb
office1–4-0.090%28 Feb
office1–5-0.050%28 Feb
office13–90.0412%14 Feb
office13–90.0519%6 Feb
office12–12-0.050%1 Feb
office7–130.0624%30 Jan
nuke10–13-0.0513%30 Jan
anubis8–13-0.008%24 Jan
office11–130.039%21 Jan
office7–13-0.0329%21 Jan
office13–50.126%18 Jan
office13–30.020%18 Jan
vertigo12–12-0.0314%17 Jan
office13–50.046%17 Jan
office10–13-0.0129%14 Jan
office11–13-0.0121%12 Jan
office6–130.0120%12 Jan
office13–60.0115%10 Jan
office13–80.060%9 Jan
office12–12-0.0418%9 Jan
office6–13-0.066%5 Jan
office13–40.1017%5 Jan
office5–130.0510%4 Jan
office13–100.1215%3 Jan
office13–80.0513%2 Jan
office13–50.1021%2 Jan
office13–80.0515%1 Jan
office7–130.0320%30 Dec
office5–130.007%28 Dec
office13–40.1010%28 Dec
office13–30.099%25 Dec
office13–60.0614%23 Dec
ancient13–70.0013%22 Dec
office13–60.0523%22 Dec
office9–130.0818%22 Dec
office8–130.1024%9 Dec
office13–50.0826%9 Dec
nuke13–110.0515%8 Dec
inferno15–150.016%8 Dec
ancient11–130.016%8 Dec
mirage13–50.0913%8 Dec
dust213–30.0120%8 Dec

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 →