Church

Church — CS2 Stats

76561197970506295[U:1:10240567]Steam profile ↗✓ No bans

787Tracked matches43%Win rate2020Tracked since
1,643Hours in CS
CSDB Rating5.3 DevelopingOpening Duellist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,110 → 1,110
+2Tracked matches · now 787
0.0ppWin rate · 43.3% → 43.3%

Rating over time

Premier CS Rating: 20,633 +4,267 5 Nov – 17 Jan · 31 days played
16,19521,807peak 21,8075 Nov17 Jan
Faceit ELO: 1,110 +0 4 Sept – 23 Sept · 2 observations
1,1101,110peak 1,1104 Sept23 Sept
21,930Peak Premier in tracked matches
1,110Highest Faceit ELO seen on CSDB
45Days played since 2025-11-05

Faceit ELO

  • At peak — 1,110
  • Next: Level 6 at 1,201 — 91 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-04
  • Level 4 first seen 2026-09-04

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.

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CSDB.GGChurchPEAK ELO1,110csdb.gg/stats

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Performance scores

Aim77
Positioning59
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLLLWWWLWLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +6.5pp headshot accuracy · −38ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 32%
  • Avg reaction 575ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 620ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 638ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2.1 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim7.7
Utility1.4
Positioning5.9
Opening Duels6.6
Clutch4.0

Excellent counter-strafingLimited 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

s1mple

Plays most like s1mple 72% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning 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

Strengths

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.

Reaction time. 661ms 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

Aim7.7
Positioning5.9
Utility1.4
Mechanics9.0
Opening Duels5.7
Win Impact2.8

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time666ms+45ms
first ⅓ avg 621ms → last ⅓ avg 666ms
Headshot accuracy24.9%−1.1%
first ⅓ avg 26.0% → last ⅓ avg 24.9%

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.

Personal bests

0.27Best match rating · 13–1 · dust2, 6 Jun →
69%Best headshot accuracy · 7–13 · dust2, 15 Dec →
406msFastest reaction time · 13–4 · inferno, 26 Nov →
13–0Biggest win · overpass, 21 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
12–11In matches decided by ≤2 rounds
19Overtime games

Map breakdown

nukeBest map · 75% over 8overpassWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB3116–1552%0.01
dust2C2811–1739%0.00
infernoB126–650%-0.01
nukeS86–275%0.01
overpassC83–538%-0.03
trainS75–271%0.02
office—30–30%0.03
ancient—10–10%-0.05
cache—10–10%-0.05
anubis—11–0100%-0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,573Lifetime kills
1.19K/D · Top 25% of tracked players
3,161Matches
47.5%Match win rate · Top 50% of tracked players
42.6%Headshot %
17.6%Shot accuracy · Top 25% of tracked players
9,526MVPs
1,643Hours (in match)
3,047Bombs planted
840Bombs defused

Most-used weapons

AWP23,293
AK-4717,130
SSG 081,620
Knife1,458
MAC-101,114
AUG1,069

Lifetime map wins

7,522inferno
5,663office
5,424dust2
3,023train
1,784nuke
531vertigo
159cbble
50lake

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

Faceit stats

Combat

1,311Matches
50%Win rate
1.27Avg K/D
79.8ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3456%1.1415.9
Dust22339%0.8713.7
Inferno2035%1.1617.1
Nuke743%1.3218.7
Train540%1.2318.6
Vertigo425%1.4718.3
Ancient367%0.8714.0
Overpass250%1.0218.5

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.

25.8%Headshot accuracy
32.4%Accuracy (enemy spotted)
32.5%Spray accuracy
90.7%Counter-strafing
8.6°Preaim
661msReaction time
49.6%T opening success
56.3%CT opening success
0.15Enemies flashed / flash
4.1%Flash assists
9.87HE damage / grenade
1.13Flashes / 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 0.1504 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Overpass

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0519%25 Sept →
dust25–13-0.0321%31 Aug →
mirage8–13-0.0030%11 Jul →
dust213–6-0.0059%11 Jul →
nuke13–60.0533%11 Jul →
mirage13–110.0135%11 Jul →
cache14–16-0.0517%10 Jul →
nuke13–4-0.0128%10 Jul →
dust24–13-0.0324%10 Jul →
office3–130.0323%6 Jul →
mirage5–13-0.038%6 Jun →
dust213–10.2731%6 Jun →
dust216–14-0.0021%28 Mar →
overpass8–13-0.0419%23 Jan →
dust210–130.0130%23 Jan →
anubis13–11-0.0123%23 Jan →
inferno7–130.0111%17 Jan →
mirage16–13-0.0327%17 Jan →
mirage13–7-0.0032%8 Jan →
dust28–13-0.0423%8 Jan →
train11–130.0023%6 Jan →
office11–130.0317%6 Jan →
mirage9–120.0934%2 Jan →
nuke9–13-0.0023%2 Jan →
nuke13–16-0.0120%1 Jan →
dust211–130.0233%31 Dec →
nuke16–130.0438%31 Dec →
mirage13–50.0521%31 Dec →
inferno16–120.0830%30 Dec →
mirage13–90.0122%30 Dec →
overpass7–13-0.0214%28 Dec →
mirage13–160.1021%27 Dec →
inferno13–10-0.0412%25 Dec →
dust213–110.0142%25 Dec →
nuke13–90.0220%25 Dec →
mirage15–15-0.0038%25 Dec →
inferno13–10-0.0319%23 Dec →
mirage7–13-0.0228%23 Dec →
dust213–100.0429%23 Dec →
train11–130.0026%22 Dec →
overpass5–13-0.0711%22 Dec →
dust27–13-0.0311%21 Dec →
overpass13–0-0.0530%21 Dec →
dust28–13-0.0431%21 Dec →
mirage7–13-0.0221%20 Dec →
inferno6–13-0.0316%20 Dec →
mirage8–13-0.0146%20 Dec →
dust215–150.0237%19 Dec →
inferno4–13-0.0219%18 Dec →
dust213–10-0.0535%17 Dec →
mirage14–160.0430%15 Dec →
dust27–130.0869%15 Dec →
train13–9-0.0227%7 Dec →
mirage16–14-0.0512%7 Dec →
dust213–9-0.0123%7 Dec →
mirage13–60.0338%7 Dec →
mirage13–7-0.0224%7 Dec →
mirage8–130.0315%7 Dec →
dust216–14-0.0417%6 Dec →
mirage16–14-0.0129%5 Dec →
dust27–13-0.0112%4 Dec →
inferno4–13-0.0612%4 Dec →
mirage13–90.0832%4 Dec →
dust23–13-0.0126%3 Dec →
office5–130.0422%3 Dec →
train13–110.0732%3 Dec →
train13–70.0744%2 Dec →
overpass9–13-0.0020%30 Nov →
mirage13–90.0250%30 Nov →
inferno13–110.0117%30 Nov →
mirage14–16-0.0532%29 Nov →
nuke13–5-0.0133%29 Nov →
mirage13–20.0433%29 Nov →
dust216–140.0022%29 Nov →
inferno13–5-0.0214%29 Nov →
mirage13–5-0.0115%27 Nov →
dust216–120.0223%27 Nov →
nuke13–90.0023%27 Nov →
dust27–13-0.0419%27 Nov →
mirage9–13-0.0330%26 Nov →
inferno13–4-0.0719%26 Nov →
mirage13–2-0.0114%26 Nov →
overpass13–70.0737%25 Nov →
dust26–130.0331%25 Nov →
train13–70.0145%17 Nov →
mirage11–13-0.0041%15 Nov →
mirage15–150.0730%13 Nov →
inferno11–130.0614%11 Nov →
dust210–130.0118%8 Nov →
dust213–60.0313%8 Nov →
train13–90.0327%8 Nov →
mirage16–140.0634%8 Nov →
mirage13–11-0.0125%7 Nov →
overpass5–13-0.0920%7 Nov →
mirage13–16-0.0013%6 Nov →
dust24–13-0.0528%6 Nov →
overpass13–10-0.0527%6 Nov →
dust29–13-0.0327%5 Nov →
dust23–13-0.0128%5 Nov →
inferno11–130.0134%5 Nov →

Match data via Leetify.

Recent teammates

Milestones

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

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