cruzzader

cruzzader — CS2 Stats

76561198014134204[U:1:53868476]Steam profile ↗✓ No bans

3,711Tracked matches63%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 9 · 2,017 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGcruzzaderFACEITLevel 9 · 2,017 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning58
Utility69

0–100 skill scores via Leetify.

Recent form

HOT50–48–2Last 10050%Win rateWLLWWWWLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −2.4pp headshot accuracy · −36ms 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 -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 615ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 633ms

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 (+1.8 against its own average).

Aim6.2
Utility6.9
Positioning5.8
Opening Duels3.8
Clutch3.8

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

jL

Plays most like jL 77% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 640ms 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

Aim6.2
Positioning5.8
Utility6.9
Mechanics6.9
Opening Duels2.8
Win Impact9.4

Composite 6.3/10 (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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time653ms−19ms
first ⅓ avg 672ms → last ⅓ avg 653ms
Headshot accuracy20.2%−0.6%
first ⅓ avg 20.7% → last ⅓ avg 20.2%

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

0.22Best match rating · 9–1 · nuke, 21 Apr →
53%Best headshot accuracy · 5–9 · debris, 23 Jul →
484msFastest reaction time · 13–8 · anubis, 25 Sept →
13–1Biggest win · anubis, 26 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 86% over 7nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D165–1131%-0.02
infernoD155–1033%-0.02
mirageA148–657%-0.02
ancientS1311–285%0.00
anubisB115–645%-0.03
nukeD113–827%-0.03
overpassB105–550%-0.02
cacheS76–186%-0.01
debris—10–10%-0.07
vertigo—11–0100%-0.02
poseidon—11–0100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,855Matches
50%Win rate
0.96Avg K/D
73.7ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient48356%0.9915.2
Inferno40554%0.9914.3
Dust230244%0.9314.7
Anubis27745%0.9815.6
Mirage21844%0.8613.6
Nuke15949%0.9714.8
Overpass9340%0.9213.9
Vertigo4848%0.9814.2

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.

19.4%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.8%Spray accuracy
80.9%Counter-strafing
11.1°Preaim
640msReaction time
33.7%T opening success
48.7%CT opening success
0.67Enemies flashed / flash
8.9%Flash assists
8.42HE damage / grenade
15.27Flashes / 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 33.682% — below the 40% mark we flag

Spend your practice time on Nuke

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0117%25 Sept →
anubis9–130.0120%23 Sept →
anubis7–13-0.0815%22 Sept →
ancient13–8-0.0125%19 Sept →
mirage13–8-0.0312%13 Sept →
ancient16–120.0413%10 Sept →
mirage16–130.0126%10 Sept →
mirage5–13-0.0812%5 Sept →
dust213–50.0320%3 Sept →
cache13–90.0325%30 Aug →
dust211–13-0.0219%29 Aug →
mirage13–7-0.0231%29 Aug →
mirage13–10-0.0215%21 Aug →
mirage13–100.0934%20 Aug →
inferno5–13-0.0915%15 Aug →
anubis13–16-0.0514%4 Aug →
cache13–4-0.0611%4 Aug →
ancient13–60.0824%3 Aug →
cache13–40.0427%3 Aug →
mirage9–13-0.0119%3 Aug →
debris5–9-0.0753%23 Jul →
dust22–13-0.0726%23 Jul →
cache13–11-0.0620%17 Jul →
nuke7–13-0.0514%17 Jul →
mirage13–110.0423%16 Jul →
mirage11–13-0.0226%16 Jul →
ancient13–11-0.0115%5 Jul →
vertigo13–9-0.0215%9 Jun →
dust213–70.0417%9 Jun →
anubis13–2-0.0017%1 Jun →
anubis9–13-0.0513%1 Jun →
cache13–40.0512%31 May →
inferno10–13-0.0018%22 May →
nuke4–13-0.0519%17 May →
dust24–13-0.0915%13 May →
cache3–13-0.049%13 May →
poseidon9–6-0.0313%12 May →
cache13–5-0.0219%12 May →
dust211–13-0.0717%8 May →
mirage13–11-0.0613%6 May →
dust27–13-0.0417%2 May →
mirage8–13-0.0414%1 May →
nuke13–5-0.036%28 Apr →
mirage8–13-0.0419%28 Apr →
anubis9–13-0.1019%28 Apr →
anubis13–7-0.0710%27 Apr →
anubis13–1-0.0120%26 Apr →
overpass6–13-0.0115%24 Apr →
nuke9–10.2221%21 Apr →
overpass7–130.0329%21 Apr →
ancient13–10-0.078%21 Apr →
dust213–100.0213%18 Apr →
overpass5–13-0.0911%17 Apr →
anubis3–13-0.0322%15 Apr →
nuke0–9-0.250%14 Apr →
dust215–15-0.049%13 Apr →
inferno10–13-0.0619%13 Apr →
inferno14–16-0.0720%13 Apr →
inferno7–13-0.0829%13 Apr →
ancient19–160.0123%10 Apr →
dust29–13-0.0423%9 Apr →
overpass13–100.0323%9 Apr →
mirage13–4-0.0340%7 Apr →
ancient13–5-0.0525%7 Apr →
dust25–13-0.0420%29 Mar →
overpass13–10-0.0418%27 Mar →
nuke2–13-0.0615%21 Mar →
dust216–140.0423%15 Mar →
ancient16–130.0317%14 Mar →
overpass13–8-0.0815%14 Mar →
overpass13–100.0220%12 Mar →
inferno7–13-0.0615%12 Mar →
mirage2–12-0.1111%12 Mar →
inferno16–12-0.0312%9 Mar →
inferno11–13-0.0112%9 Mar →
dust26–130.0238%9 Mar →
dust210–130.0028%8 Mar →
nuke5–13-0.0625%8 Mar →
nuke15–15-0.0312%28 Feb →
ancient13–30.0318%27 Feb →
ancient13–80.0929%27 Feb →
anubis13–100.0323%21 Feb →
dust213–100.0117%21 Feb →
inferno13–50.0217%21 Feb →
inferno19–16-0.0126%20 Feb →
inferno13–30.0222%20 Feb →
dust24–13-0.1325%20 Feb →
overpass8–13-0.0622%20 Feb →
ancient13–3-0.0114%19 Feb →
nuke13–50.0327%19 Feb →
overpass13–110.0625%19 Feb →
overpass8–13-0.0529%18 Feb →
ancient9–13-0.0011%18 Feb →
inferno13–16-0.0124%18 Feb →
ancient2–13-0.0714%18 Feb →
inferno12–160.0119%17 Feb →
nuke10–13-0.0120%17 Feb →
nuke5–13-0.0639%16 Feb →
inferno13–60.0115%13 Feb →
inferno13–160.0221%13 Feb →

Match data via Leetify.

Recent teammates

Milestones

2K 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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