☦︎ Christ Is Risen ☦

☦︎ Christ Is Risen ☦ — CS2 Stats

AE76561198390106254[U:1:429840526]Steam profile ↗✓ No bans

397Tracked matches46%Win rate2020Tracked since
760Hours in CS
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating20,843Top 50% of 211,308 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)
CSDB Leaderboard#71431 of 258331 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (2 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.

Rating over time

Premier CS Rating: 20,843 -1,058 10 Aug – 27 Oct · 6 days played
19,60421,901peak 21,90110 Aug27 Oct
21,901Peak Premier in tracked matches
30Days played since 2026-08-02

Premier CS Rating

  • 1,058 below peak (21,901)
  • -1,058 over 90 days
  • Next: Red band at 25,000 — 4,157 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.0%46.9%49.3%6.2% short
Shot accuracy12.9%13.0%13.4%0.4% short
Kill/death ratio0.961.081.120.16 short
Match win rate40.6%46.7%48.5%7.9% short

This profile sits below the typical Red band player on every metric we can compare.

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

Share this profile

CSDB.GG☦︎ Christ Is Risen ☦PREMIER20,843 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim51
Positioning59
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49–41–10Last 10049%Win rateWLTLWLWLWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −3.6pp headshot accuracy · −28ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 581ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 559ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 573ms

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 against its own average).

Aim5.1
Utility5.6
Positioning5.9
Opening Duels3.4
Clutch4.6

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

ZywOo

Plays most like ZywOo 75% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 59% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1
Positioning5.9
Utility5.6
Mechanics3.7
Opening Duels5.1
Win Impact3.7

Composite 5.1/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time568ms−77ms
first ⅓ avg 645ms → last ⅓ avg 568ms
Headshot accuracy14.2%−6.3%
first ⅓ avg 20.5% → last ⅓ avg 14.2%

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

0.18Best match rating · 9–0 · inferno, 4 Aug →
44%Best headshot accuracy · 13–6 · nuke, 8 Aug →
422msFastest reaction time · 9–13 · ancient, 26 Oct →
13–0Biggest win · dust2, 8 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 80% over 10mirageWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%0.01
infernoB2110–1148%0.01
mirageD206–1430%-0.02
cacheS108–280%0.01
anubisC104–640%0.00
ancientS75–271%-0.00
nuke—42–250%-0.04
office—31–233%0.02
train—11–0100%0.04
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 20). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,231Lifetime kills
0.96K/D
1,693Matches
40.6%Match win rate
43.0%Headshot %
12.9%Shot accuracy
3,634MVPs
760Hours (in match)
1,992Bombs planted
236Bombs defused

Most-used weapons

Lifetime map wins

2,545dust2
1,190office
959inferno
299nuke
297train
279cbble
99assault
99vertigo

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

Faceit stats

Combat

186Matches
51%Win rate
1.09Avg K/D
84.8ADR
42%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust24154%1.2517.1
Mirage4149%0.9915.8
Inferno1560%1.3617.9
Anubis1258%0.8914.6
Cache944%1.0815.3
Ancient838%0.9014.5
Nuke540%1.2517.4
Overpass10%0.8713.0

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.

14.2%Headshot accuracy
32.1%Accuracy (enemy spotted)
32.4%Spray accuracy
66.8%Counter-strafing
9.2°Preaim
568msReaction time
58.8%T opening success
42.2%CT opening success
0.56Enemies flashed / flash
7.9%Flash assists
12.13HE damage / grenade
9.57Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1627% — below the 15% mark we flag

    Aim Training →
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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0116%27 Oct →
nuke8–13-0.106%27 Oct →
cache15–15-0.0111%26 Oct →
mirage1–13-0.0513%26 Oct →
dust213–80.029%26 Oct →
ancient9–13-0.0819%26 Oct →
cache13–11-0.0524%26 Oct →
mirage7–13-0.018%26 Oct →
anubis13–90.037%26 Oct →
inferno9–13-0.0215%26 Oct →
dust28–130.0320%26 Oct →
dust212–120.0827%25 Oct →
mirage8–13-0.0915%25 Oct →
dust27–130.0417%25 Oct →
inferno12–12-0.0131%25 Oct →
anubis13–40.090%24 Oct →
anubis8–13-0.0711%24 Oct →
inferno13–11-0.0016%24 Oct →
cache15–15-0.017%24 Oct →
dust213–8-0.0219%24 Oct →
cache13–100.0317%24 Oct →
inferno13–5-0.020%24 Oct →
mirage13–10-0.076%24 Oct →
dust28–13-0.0225%24 Oct →
mirage4–13-0.055%23 Oct →
anubis6–13-0.0311%23 Oct →
mirage9–13-0.0316%22 Oct →
nuke6–13-0.0321%22 Oct →
ancient13–100.0514%22 Oct →
ancient13–50.0511%22 Oct →
mirage13–11-0.0016%22 Oct →
anubis13–11-0.0013%22 Oct →
cache13–6-0.0224%21 Oct →
ancient4–130.0623%21 Oct →
mirage6–13-0.0532%21 Oct →
dust213–110.0226%21 Oct →
anubis4–130.0515%21 Oct →
dust213–10-0.0021%19 Oct →
inferno5–13-0.016%19 Oct →
mirage7–130.0522%19 Oct →
cache13–80.0016%16 Oct →
inferno13–50.0616%16 Oct →
dust210–130.0318%16 Oct →
train13–70.0420%10 Oct →
dust212–12-0.0225%10 Oct →
mirage13–11-0.0518%10 Oct →
inferno7–9-0.019%10 Oct →
dust212–12-0.059%6 Oct →
inferno13–60.0113%6 Oct →
dust213–5-0.0118%24 Sept →
office12–12-0.0312%23 Sept →
dust26–13-0.0615%23 Sept →
mirage5–13-0.088%23 Sept →
inferno1–10-0.049%22 Sept →
dust213–80.0221%22 Sept →
mirage7–13-0.0116%16 Sept →
anubis11–130.0121%16 Sept →
mirage12–12-0.0123%15 Sept →
inferno8–8-0.0036%14 Sept →
inferno13–4-0.0529%13 Sept →
mirage13–110.0216%12 Sept →
office13–80.0121%8 Sept →
cache13–80.0212%8 Sept →
anubis4–130.0219%27 Aug →
dust213–100.0228%27 Aug →
inferno13–40.0234%27 Aug →
office7–130.0726%17 Aug →
inferno4–13-0.0222%13 Aug →
dust211–130.1124%13 Aug →
inferno13–40.0610%10 Aug →
dust213–40.0626%10 Aug →
mirage6–130.0416%10 Aug →
anubis13–8-0.0624%10 Aug →
cache13–100.0424%9 Aug →
mirage12–120.0014%9 Aug →
inferno13–10.1423%9 Aug →
ancient13–80.018%9 Aug →
anubis10–13-0.0121%8 Aug →
nuke13–60.0344%8 Aug →
dust213–00.0838%8 Aug →
ancient13–9-0.0015%8 Aug →
inferno2–6-0.0233%8 Aug →
cache13–40.0714%8 Aug →
mirage4–13-0.0022%8 Aug →
dust21–6-0.090%7 Aug →
mirage9–13-0.0710%7 Aug →
inferno12–120.0619%4 Aug →
ancient13–7-0.1213%4 Aug →
dust213–30.0114%4 Aug →
inferno9–00.1826%4 Aug →
dust213–70.0125%4 Aug →
mirage13–30.0230%3 Aug →
vertigo6–13-0.0533%3 Aug →
inferno4–13-0.0238%3 Aug →
dust213–100.0522%3 Aug →
cache13–80.0412%2 Aug →
inferno0–6-0.018%2 Aug →
dust29–13-0.0322%2 Aug →
mirage8–0-0.0110%2 Aug →
nuke13–7-0.0519%2 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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