Holycrusader

Holycrusader — CS2 Stats

FI76561198988881588[U:1:1028615860]Steam profile ↗✓ No bans

645Tracked matches50%Win rate2020Tracked since
1,317Hours in CS
CSDB Rating4.8 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (65 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 645
−3.6ppWin rate · 53.6% → 50.0%

Rating over time

Premier CS Rating: 18,930 +731 20 Mar – 22 Jun · 16 days played
16,64421,813peak 21,81320 Mar22 Jun
21,852Peak Premier in tracked matches
54Days played since 2025-03-20

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 Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate37.0%43.8%44.8%7.8% short
Shot accuracy12.3%12.0%12.4%meets
Kill/death ratio1.181.021.03above
Match win rate44.8%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHolycrusaderFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning41
Utility49

0–100 skill scores via Leetify.

Recent form

COLD47–44–9Last 10047%Win rateLLWLLWLLWT

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · −85ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 528ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 557ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 600ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim5.6
Utility4.9
Positioning4.1
Opening Duels2.2
Clutch0.0

Strong CT-side openerLimited 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

ZywOo

Plays most like ZywOo 86% 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

T-side openings. Opening success drops from 46% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim5.6
Positioning4.1
Utility4.9
Mechanics5.7
Opening Duels2.0
Win Impact5.0

Composite 4.8/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time597ms−56ms
first ⅓ avg 653ms → last ⅓ avg 597ms
Headshot accuracy15.8%−2.6%
first ⅓ avg 18.3% → last ⅓ avg 15.8%

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

0.25Best match rating · 13–8 · anubis, 13 Mar →
100%Best headshot accuracy · 2–0 · inferno, 6 Nov →
469msFastest reaction time · 4–13 · cache, 23 May →
13–1Biggest win · italy, 5 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 71% over 7infernoWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
infernoD227–1532%-0.00
nukeC208–1240%0.01
ancientB126–650%-0.01
mirageB84–450%-0.02
dust2S75–271%0.00
officeB63–350%0.04
anubisA53–260%0.07
cache—42–250%0.01
overpass—43–175%0.06
italy—44–0100%0.07
vertigo—21–150%0.05
train—20–20%-0.03
agency—10–10%0.01
palacio—10–10%0.00
grail—10–10%-0.04
edin—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,345Lifetime kills
1.18K/D · Top 25% of Level 5 players
3,265Matches
44.8%Match win rate · Top 50% of Level 5 players
37.0%Headshot %
12.3%Shot accuracy · Top 50% of Level 5 players
8,852MVPs
1,317Hours (in match)
4,744Bombs planted
971Bombs defused

Most-used weapons

AK-4718,828
AWP10,584
FAMAS1,594
AUG1,212
SSG 081,193

Lifetime map wins

9,641inferno
2,942train
2,930nuke
2,244dust2
1,636vertigo
632office
235italy
42cbble

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

Faceit stats

Combat

198Matches
51%Win rate
1.04Avg K/D
73.8ADR
36%Headshot %

Clutches & streaks

14%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage475%0.9712.0
Nuke333%0.668.7
Ancient367%0.9214.7
Inferno333%0.8613.0
Anubis20%0.539.0
Vertigo10%0.8814.0

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.

16.2%Headshot accuracy
31.4%Accuracy (enemy spotted)
35.4%Spray accuracy
75.9%Counter-strafing
10.1°Preaim
603msReaction time
24.8%T opening success
46.3%CT opening success
0.53Enemies flashed / flash
1.9%Flash assists
10.06HE damage / grenade
4.68Flashes / 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. 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 24.7623% — below the 40% mark we flag

Spend your practice time on Inferno

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0223%3 Oct →
nuke2–7-0.0322%3 Oct →
inferno13–70.0321%23 Aug →
mirage8–13-0.0213%22 Jun →
inferno4–13-0.032%22 Jun →
nuke13–5-0.046%23 May →
cache4–13-0.0427%23 May →
ancient14–160.0315%12 May →
inferno13–60.0511%12 May →
nuke15–150.0112%12 May →
overpass13–8-0.018%12 May →
inferno7–130.026%9 May →
cache13–30.0612%9 May →
cache6–130.0220%9 May →
cache13–70.0116%3 May →
overpass13–110.0413%24 Apr →
nuke13–160.0014%24 Apr →
inferno10–130.0215%24 Apr →
mirage13–5-0.0720%14 Apr →
dust28–13-0.0524%14 Apr →
inferno2–130.0025%14 Apr →
anubis8–13-0.0115%29 Mar →
nuke13–80.0417%29 Mar →
inferno13–8-0.0023%29 Mar →
mirage13–10-0.0323%29 Mar →
ancient8–13-0.0425%27 Mar →
inferno15–15-0.0113%27 Mar →
anubis13–50.0419%24 Mar →
dust213–8-0.0211%16 Mar →
italy13–80.0326%13 Mar →
office10–130.0012%13 Mar →
anubis13–80.255%13 Mar →
mirage13–50.018%11 Mar →
inferno13–4-0.0115%9 Mar →
nuke13–40.0016%9 Mar →
nuke11–13-0.018%9 Mar →
ancient13–11-0.0312%6 Mar →
ancient7–130.029%5 Mar →
nuke11–130.0213%5 Mar →
inferno15–150.0011%5 Mar →
ancient15–15-0.0420%3 Mar →
inferno13–8-0.0313%3 Mar →
nuke6–13-0.0113%2 Mar →
overpass6–130.0623%27 Feb →
dust23–13-0.0624%26 Feb →
nuke13–20.0026%26 Feb →
nuke13–110.046%24 Feb →
dust26–20.0625%24 Feb →
ancient10–13-0.0018%24 Feb →
ancient15–15-0.0213%21 Feb →
office12–120.0424%20 Feb →
inferno10–13-0.0217%20 Feb →
mirage3–13-0.0915%14 Feb →
nuke7–130.0114%14 Feb →
nuke10–13-0.0416%8 Feb →
nuke10–13-0.0415%8 Feb →
ancient13–110.0318%7 Feb →
ancient13–80.0123%7 Feb →
inferno3–13-0.0110%7 Feb →
mirage13–110.0116%7 Feb →
office12–120.0220%7 Jan →
inferno7–130.047%12 Dec →
italy13–30.1420%12 Dec →
agency4–130.0117%11 Dec →
office13–40.028%10 Nov →
vertigo5–13-0.0128%10 Nov →
italy13–30.026%10 Nov →
inferno7–13-0.0115%10 Nov →
office13–5-0.0213%7 Nov →
nuke13–60.1014%6 Nov →
inferno2–0-0.06100%6 Nov →
nuke13–70.1213%5 Nov →
inferno5–13-0.0215%5 Nov →
palacio4–130.0040%6 Oct →
ancient13–11-0.0210%5 Oct →
nuke7–130.0714%5 Oct →
office13–50.1828%3 Oct →
nuke6–13-0.0827%29 Sept →
dust213–70.029%29 Sept →
nuke13–40.0214%26 Sept →
vertigo13–50.1012%22 Sept →
overpass13–60.1611%11 Sept →
inferno13–90.027%11 Sept →
dust213–11-0.0113%11 Sept →
grail11–13-0.0411%29 Aug →
mirage12–120.0215%25 Aug →
train7–13-0.0612%25 Aug →
inferno9–130.0113%5 Aug →
inferno9–13-0.0319%14 Jul →
anubis7–130.0418%1 May →
anubis13–50.0120%1 May →
ancient13–10-0.0114%25 Apr →
edin12–20.0213%17 Apr →
dust213–110.0819%9 Apr →
nuke12–120.039%9 Apr →
inferno7–130.0117%9 Apr →
italy13–10.0923%5 Apr →
ancient13–8-0.0020%28 Mar →
inferno11–13-0.0620%26 Mar →
train6–13-0.017%20 Mar →

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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