Pope Steve VI

Pope Steve VI — CS2 Stats

CA76561198084537267[U:1:124271539]Steam profile ↗✓ No bans

3,185Tracked matches48%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating20,297Top 50% of 213,542 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)
CSDB Leaderboard#79444 of 260134 tracked
FaceitLevel 8 · 1,526 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−399Premier CS Rating · 20,696 → 20,297

Rating over time

Premier CS Rating: 20,297 -4,592 2 Sept – 6 Nov · 26 days played
20,29724,889peak 24,8892 Sept6 Nov
Faceit ELO: 1,526 +0 2 Sept – 1 Nov · 5 observations
1,5261,526peak 1,5262 Sept1 Nov
24,889Peak Premier in tracked matches
1,526Highest Faceit ELO seen on CSDB
39Days played since 2026-09-02

Faceit ELO

  • At peak — 1,526
  • 0 over 30 days · steady
  • Next: Level 8 at 1,531 — 5 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-02
  • Level 6 first seen 2026-09-02

Premier CS Rating

  • 4,592 below peak (24,889)
  • -2,315 over 30 days · declining
  • Next: Red band at 25,000 — 4,703 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGPope Steve VIFACEITLevel 8 · 1,526 ELOSTANDINGTop 31.2% of rankedPREMIER20,297 · Pink band30 DAYS0 ELOPEAK ELO1,526csdb.gg/stats

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Performance scores

Aim64
Positioning66
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLWWWLWWLLW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · −2.1pp headshot accuracy · −84ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 616ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 610ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 652ms

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 (+1.6 against its own average).

Aim6.4
Utility4.7
Positioning6.6
Opening Duels4.9
Clutch3.6

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

m0NESY

Plays most like m0NESY 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim 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

Reaction time. 639ms 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

Aim6.4
Positioning6.6
Utility4.7
Mechanics6.5
Opening Duels5.3
Win Impact4.4

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time622ms−3ms
first ⅓ avg 625ms → last ⅓ avg 622ms
Headshot accuracy16.8%−0.2%
first ⅓ avg 17.0% → last ⅓ avg 16.8%

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 · 13–1 · mirage, 17 Oct →
31%Best headshot accuracy · 9–13 · inferno, 30 Oct →
391msFastest reaction time · 8–0 · train, 29 Oct →
13–1Biggest win · mirage, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 64% over 11dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA2314–961%0.01
ancientC167–944%-0.03
anubisC146–843%-0.01
infernoC135–838%-0.02
nukeA117–464%0.03
dust2D102–820%-0.01
cacheB84–450%0.01
train—32–167%0.05
rush_001—11–0100%0.13
overpass—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,239Matches
50%Win rate
1.02Avg K/D
73.3ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage29655%1.1215.0
Dust217950%1.0714.9
Ancient15150%1.0616.1
Inferno11447%0.9414.1
Anubis10842%1.0215.0
Nuke7959%1.1716.2
Overpass2259%1.1716.6
Cache2148%0.8812.6

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.

17.0%Headshot accuracy
37.8%Accuracy (enemy spotted)
38.7%Spray accuracy
79.2%Counter-strafing
11.7°Preaim
639msReaction time
49.9%T opening success
52.7%CT opening success
0.50Enemies flashed / flash
5.3%Flash assists
7.23HE damage / grenade
6.10Flashes / 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 0.4975 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.0214%6 Nov →
cache13–60.0517%5 Nov →
dust213–8-0.0016%5 Nov →
anubis13–70.0113%4 Nov →
mirage10–13-0.0114%4 Nov →
inferno13–30.049%3 Nov →
mirage13–100.0514%3 Nov →
mirage8–13-0.0616%3 Nov →
ancient11–13-0.0213%2 Nov →
nuke13–30.0520%2 Nov →
dust213–4-0.0220%2 Nov →
mirage13–8-0.0217%2 Nov →
dust210–130.006%2 Nov →
ancient6–13-0.0712%2 Nov →
inferno13–7-0.0623%1 Nov →
inferno9–13-0.109%1 Nov →
dust210–13-0.0629%1 Nov →
inferno7–13-0.0319%31 Oct →
cache0–130.0218%31 Oct →
ancient9–13-0.0413%31 Oct →
dust213–160.0121%30 Oct →
cache13–70.078%30 Oct →
inferno9–130.0231%30 Oct →
anubis13–70.0324%30 Oct →
inferno12–160.0317%30 Oct →
nuke12–120.0622%29 Oct →
ancient13–110.058%29 Oct →
train8–00.1122%29 Oct →
mirage9–130.0131%29 Oct →
cache13–5-0.0216%29 Oct →
anubis8–13-0.0611%28 Oct →
anubis13–7-0.0322%28 Oct →
mirage13–50.0910%27 Oct →
ancient7–13-0.0520%26 Oct →
mirage10–13-0.0415%26 Oct →
ancient13–8-0.078%26 Oct →
mirage13–6-0.0216%25 Oct →
nuke13–9-0.0119%23 Oct →
train13–40.0416%23 Oct →
mirage10–130.0126%23 Oct →
anubis14–16-0.0311%22 Oct →
cache8–130.0117%22 Oct →
mirage13–30.0713%22 Oct →
mirage9–130.0024%22 Oct →
inferno8–13-0.0418%21 Oct →
dust211–13-0.0424%21 Oct →
anubis9–130.0017%21 Oct →
ancient4–13-0.0522%21 Oct →
nuke9–3-0.0611%20 Oct →
inferno4–13-0.1025%20 Oct →
dust211–130.0517%18 Oct →
nuke8–13-0.0420%18 Oct →
nuke13–90.0321%18 Oct →
inferno13–60.0716%18 Oct →
mirage13–10.1717%17 Oct →
mirage9–13-0.0720%16 Oct →
inferno12–16-0.0214%15 Oct →
inferno13–10-0.0416%15 Oct →
mirage13–9-0.017%14 Oct →
ancient13–8-0.0110%13 Oct →
mirage13–60.0113%13 Oct →
ancient16–140.0423%13 Oct →
mirage16–14-0.0113%13 Oct →
anubis6–130.0013%13 Oct →
mirage13–10-0.0123%12 Oct →
nuke13–90.0426%12 Oct →
ancient13–100.019%9 Oct →
ancient7–13-0.0423%9 Oct →
mirage8–13-0.0015%9 Oct →
ancient7–13-0.0621%8 Oct →
dust24–13-0.0415%7 Oct →
ancient13–9-0.0119%7 Oct →
mirage13–80.0320%6 Oct →
nuke0–8-0.060%4 Oct →
anubis13–10-0.0510%3 Oct →
dust27–130.0112%3 Oct →
rush_0015–10.1323%3 Oct →
anubis7–13-0.0016%1 Oct →
mirage14–16-0.0315%1 Oct →
mirage13–60.0715%30 Sept →
overpass8–13-0.0129%29 Sept →
inferno7–3-0.047%29 Sept →
train11–130.0117%27 Sept →
cache4–13-0.089%26 Sept →
nuke4–60.1025%26 Sept →
mirage13–7-0.0413%26 Sept →
anubis13–60.0414%26 Sept →
nuke13–40.0411%26 Sept →
anubis10–13-0.0428%25 Sept →
inferno10–130.0015%24 Sept →
mirage13–40.1023%24 Sept →
anubis7–13-0.0428%24 Sept →
ancient2–13-0.0314%24 Sept →
ancient13–9-0.0614%24 Sept →
anubis13–60.0117%24 Sept →
nuke13–50.1419%24 Sept →
ancient9–13-0.0413%23 Sept →
cache5–130.0129%23 Sept →
cache13–11-0.0215%22 Sept →
dust26–130.0117%22 Sept →

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 →

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