Pope Orangutan

Pope Orangutan — CS2 Stats

VA76561198821752920[U:1:861487192]Steam profile ↗✓ No bans

1,297Tracked matches53%Win rate2020Tracked since
2,245Hours in CS10Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
FaceitLevel 10 · 2,254 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,846), 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 10 median
Headshot rate51.3%50.9%
Shot accuracy14.8%13.7%
Kill/death ratio1.191.09
Match win rate47.9%48.4%

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CSDB.GGPope OrangutanFACEITLevel 10 · 2,254 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning55
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWWWLLWLLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −3.1pp headshot accuracy · +21ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 645ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 601ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 590ms

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 (+1.8 against its own average).

Aim7.9
Utility3.4
Positioning5.5
Opening Duels1.6
Clutch4.4

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.

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 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

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

Reaction time. 598ms 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

Aim7.9
Positioning5.5
Utility3.4
Mechanics6.9
Opening Duels1.2
Win Impact6.1

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 time620ms−67ms
first ⅓ avg 686ms → last ⅓ avg 620ms
Headshot accuracy27.3%−3.3%
first ⅓ avg 30.6% → last ⅓ avg 27.3%

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

0.18Best match rating · 11–13 · office, 14 May →
100%Best headshot accuracy · 3–0 · mirage, 18 Dec →
406msFastest reaction time · 13–11 · ancient, 19 Sept →
13–2Biggest win · dust2, 6 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
7–13In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 71% over 7mirageWeakest map · 41% over 22
MapGradePlayedRecordWin rateAvg rating
mirageC229–1341%0.00
anubisA127–558%0.03
infernoA127–558%0.02
cacheA95–456%0.04
nukeB84–450%0.05
ancientS75–271%-0.01
vertigoA74–357%0.07
officeC73–443%0.05
trainS75–271%0.07
dust2—43–175%0.06
overpass—31–233%0.02
stronghold—10–10%0.10
warden—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 22). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,095Lifetime kills
1.19K/D · Top 50% of Level 10 players
2,747Matches
47.9%Match win rate
51.3%Headshot % · Top 50% of Level 10 players
14.8%Shot accuracy · Top 50% of Level 10 players
8,256MVPs
1,242Hours (in match)
3,933Bombs planted
1,046Bombs defused

Most-used weapons

AK-4716,332
AWP4,032
Negev1,656
MP91,614
P901,517
Tec-91,367

Lifetime map wins

4,995inferno
3,116nuke
2,938train
2,259vertigo
2,056dust2
270office
125cbble
60italy

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

Faceit stats

Combat

514Matches
56%Win rate
1.14Avg K/D
75.9ADR
52%Headshot %

Clutches & streaks

42%1v1 clutch win
17%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage8152%1.0816.5
Ancient6866%1.2217.0
Inferno5661%1.1517.2
Anubis3653%1.1916.1
Nuke3546%1.1517.7
Vertigo1759%1.0417.2
Dust21644%1.1216.1
Overpass1060%1.1115.3

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.

26.2%Headshot accuracy
34.1%Accuracy (enemy spotted)
40.5%Spray accuracy
81.0%Counter-strafing
10.5°Preaim
598msReaction time
35.9%T opening success
33.8%CT opening success
0.52Enemies flashed / flash
4.3%Flash assists
6.81HE damage / grenade
1.85Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.8502 — below the 4 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 35.8818% — below the 40% mark we flag

Spend your practice time on Mirage

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

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0218%13 Oct →
mirage16–120.0325%13 Oct →
anubis13–60.0620%13 Oct →
nuke11–13-0.0230%13 Oct →
mirage11–13-0.0014%13 Oct →
nuke13–100.0121%13 Oct →
anubis3–13-0.0710%13 Oct →
inferno10–130.0641%11 Oct →
mirage13–110.0133%5 Oct →
vertigo10–130.0723%19 Sept →
ancient13–11-0.0425%19 Sept →
ancient13–8-0.0032%2 Aug →
cache10–130.0121%2 Aug →
mirage15–190.0630%12 Jul →
ancient3–13-0.0326%12 Jul →
inferno10–130.0134%12 Jul →
mirage13–6-0.0023%12 Jul →
inferno11–13-0.0336%12 Jul →
cache11–13-0.0221%12 Jul →
cache13–80.0319%9 Jul →
office13–3-0.0357%9 Jul →
office4–130.0640%8 Jul →
dust213–20.0116%6 Jul →
anubis11–130.0127%6 Jul →
anubis13–100.0925%5 Jul →
mirage7–13-0.019%4 Jul →
inferno13–90.0024%4 Jul →
cache13–2-0.0217%3 Jul →
inferno16–120.0727%21 Jun →
train13–110.0939%20 Jun →
mirage13–9-0.0138%20 Jun →
cache1–7-0.0246%14 Jun →
nuke13–90.0134%3 Jun →
vertigo7–130.0930%3 Jun →
vertigo13–90.1524%3 Jun →
overpass1–13-0.0018%31 May →
mirage0–5-0.0540%31 May →
anubis8–130.0223%31 May →
anubis13–20.1720%31 May →
ancient13–10-0.018%30 May →
anubis13–11-0.0216%14 May →
mirage11–13-0.0524%14 May →
inferno13–5-0.0015%14 May →
office13–100.0724%14 May →
office11–130.1834%14 May →
mirage6–13-0.0517%10 May →
cache13–100.1640%1 May →
anubis13–90.1224%1 May →
cache6–13-0.0431%29 Apr →
cache13–60.1629%29 Apr →
mirage13–90.0914%28 Apr →
cache13–110.0726%26 Apr →
train13–50.0620%22 Apr →
train13–80.0750%22 Apr →
office12–120.0336%18 Apr →
inferno3–90.0033%18 Apr →
stronghold10–130.1036%11 Apr →
warden5–13-0.0236%11 Apr →
vertigo13–7-0.077%11 Apr →
vertigo8–130.0334%11 Apr →
mirage13–90.0542%1 Apr →
vertigo13–20.0555%1 Apr →
anubis6–13-0.0426%1 Apr →
anubis3–13-0.0245%1 Apr →
mirage4–13-0.0642%24 Mar →
mirage13–100.0127%23 Mar →
ancient4–13-0.0252%23 Mar →
dust213–100.0726%22 Mar →
nuke12–120.0724%22 Mar →
office7–130.0328%22 Mar →
office13–9-0.0225%22 Mar →
nuke2–90.1146%15 Mar →
mirage13–70.1226%15 Mar →
mirage14–160.0436%8 Mar →
mirage3–13-0.107%8 Mar →
train11–130.1730%1 Mar →
train13–90.0522%27 Feb →
anubis13–4-0.0717%21 Feb →
vertigo13–110.1523%14 Feb →
dust214–160.0127%8 Feb →
inferno13–8-0.0121%1 Feb →
mirage3–13-0.0041%20 Jan →
train12–12-0.0129%18 Jan →
inferno13–30.1155%17 Jan →
inferno11–130.0032%6 Jan →
ancient13–40.0611%6 Jan →
train13–30.0914%6 Jan →
inferno13–100.0222%6 Jan →
nuke13–50.1326%6 Jan →
nuke7–130.0835%5 Jan →
inferno25–230.0131%4 Jan →
anubis13–90.0731%26 Dec →
mirage5–13-0.0329%25 Dec →
overpass11–130.0527%25 Dec →
nuke13–8-0.0142%21 Dec →
overpass13–70.0126%21 Dec →
mirage11–130.0231%21 Dec →
mirage7–130.0139%18 Dec →
dust213–20.1535%18 Dec →
mirage3–0-0.01100%18 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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