crozier

crozier — CS2 Stats

US76561198324795215[U:1:364529487]Steam profile ↗✓ No bans

683Tracked matches48%Win rate2020Tracked since
1,800Hours in CS1Hrs last 2 wks
CSDB Rating4.8 DevelopingClutch Specialist
CSDB Leaderboard#96050 of 252653 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 683
−3.4ppWin rate · 51.7% → 48.3%

Rating over time

Premier CS Rating: 19,006 -2,566 14 Jun – 5 Oct · 30 days played
18,32721,812peak 21,81214 Jun5 Oct
21,812Peak Premier in tracked matches
32Days played since 2026-06-14

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 6 among CSDB-tracked players (n=13,185), 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 6 medianLevel 7 medianvs Level 7
Headshot rate46.4%44.8%45.7%meets
Shot accuracy18.5%12.4%12.7%above
Kill/death ratio1.111.031.05above
Match win rate51.1%45.2%45.7%above

Across every metric we can compare, this profile already matches the typical Level 7 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGcrozierFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning39
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLWLLWLWWWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −0.1pp headshot accuracy · −12ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 16%
  • Avg reaction 738ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 718ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 724ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.4 against its own average).

Aim6.0
Utility2.7
Positioning3.9
Opening Duels1.8
Clutch6.0

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

donk

Plays most like donk 95% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 700ms 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

Aim6.0
Positioning3.9
Utility2.7
Mechanics8.0
Opening Duels1.9
Win Impact4.4

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 rating-0.04−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time694ms−6ms
first ⅓ avg 700ms → last ⅓ avg 694ms
Headshot accuracy15.5%−2.2%
first ⅓ avg 17.7% → last ⅓ avg 15.5%

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

0.11Best match rating · 13–5 · mirage, 17 Jul →
33%Best headshot accuracy · 8–13 · dust2, 16 Jul →
438msFastest reaction time · 8–13 · ancient, 20 Jul →
13–1Biggest win · ancient, 17 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 69% over 13infernoWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA1912–763%-0.02
nukeC167–944%-0.04
ancientC145–936%-0.03
anubisS139–469%-0.02
dust2B136–746%-0.04
cacheB126–650%-0.06
infernoD111–109%-0.02
poseidon—10–10%-0.19
overpass—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,997Lifetime kills
1.11K/D · Top 50% of Level 6 players
1,508Matches
51.1%Match win rate · Top 25% of Level 6 players
46.4%Headshot % · Top 50% of Level 6 players
18.5%Shot accuracy · Top 10% of Level 6 players
4,297MVPs
970Hours (in match)
1,797Bombs planted
508Bombs defused

Most-used weapons

Lifetime map wins

4,528inferno
2,654dust2
926nuke
694train
214vertigo
195cbble
67lake
15office

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

Faceit stats

Combat

100Matches
56%Win rate
1.01Avg K/D
76.2ADR
45%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient1443%0.8115.3
Anubis956%0.8812.1
Mirage956%0.7612.6
Inferno743%0.8413.7
Vertigo367%1.3518.3
Nuke250%1.1221.5
Overpass2100%0.9417.5
Dust21100%1.3818.0

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.

15.8%Headshot accuracy
36.2%Accuracy (enemy spotted)
38.6%Spray accuracy
86.2%Counter-strafing
11.4°Preaim
700msReaction time
25.1%T opening success
45.4%CT opening success
0.34Enemies flashed / flash
3.1%Flash assists
12.14HE damage / grenade
2.33Flashes / 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 0.3364 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 25.1344% — 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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.106%11 Oct →
dust213–8-0.0720%5 Sept →
nuke8–13-0.0629%5 Sept →
cache2–13-0.1014%5 Sept →
mirage13–10-0.0113%29 Aug →
nuke13–16-0.0318%28 Aug →
nuke13–6-0.0610%22 Aug →
dust213–60.0017%22 Aug →
anubis13–9-0.029%22 Aug →
ancient13–10-0.0318%21 Aug →
nuke11–130.0018%18 Aug →
dust213–16-0.0514%7 Aug →
anubis13–7-0.0518%7 Aug →
ancient6–13-0.0320%1 Aug →
cache7–2-0.128%1 Aug →
dust26–13-0.0810%1 Aug →
mirage8–13-0.0716%1 Aug →
anubis10–13-0.0424%1 Aug →
ancient11–130.0316%31 Jul →
dust213–10-0.0211%31 Jul →
nuke13–10-0.0219%31 Jul →
mirage13–7-0.0612%31 Jul →
cache13–10-0.0512%26 Jul →
dust24–13-0.0821%26 Jul →
inferno13–9-0.0118%26 Jul →
nuke15–15-0.0619%26 Jul →
inferno11–130.0115%25 Jul →
nuke13–6-0.0514%25 Jul →
cache14–16-0.0518%25 Jul →
mirage10–13-0.0114%25 Jul →
anubis13–100.0018%25 Jul →
ancient9–13-0.0713%25 Jul →
dust29–13-0.0113%23 Jul →
anubis13–40.037%23 Jul →
cache6–13-0.0426%23 Jul →
nuke9–13-0.057%23 Jul →
mirage5–13-0.089%22 Jul →
nuke13–10-0.0330%22 Jul →
nuke5–13-0.0532%22 Jul →
cache13–7-0.0911%21 Jul →
anubis13–6-0.0210%21 Jul →
ancient8–13-0.0523%20 Jul →
inferno6–13-0.0413%20 Jul →
cache10–13-0.0216%19 Jul →
dust27–13-0.0613%19 Jul →
anubis13–90.0416%19 Jul →
mirage16–14-0.0215%18 Jul →
inferno1–13-0.0517%18 Jul →
nuke13–70.024%18 Jul →
ancient13–60.0517%18 Jul →
anubis7–13-0.0712%18 Jul →
dust25–13-0.0725%17 Jul →
inferno3–13-0.0426%17 Jul →
mirage13–50.1116%17 Jul →
ancient13–10.058%17 Jul →
cache12–3-0.0310%17 Jul →
dust213–9-0.0514%17 Jul →
anubis13–10.0523%17 Jul →
mirage13–8-0.0224%17 Jul →
mirage13–2-0.0115%17 Jul →
nuke5–13-0.0514%17 Jul →
mirage3–13-0.0718%16 Jul →
dust28–130.0233%16 Jul →
nuke8–13-0.0526%16 Jul →
cache10–13-0.0315%15 Jul →
mirage13–8-0.0213%15 Jul →
cache16–14-0.0316%11 Jul →
mirage5–13-0.0222%11 Jul →
dust213–70.0215%11 Jul →
mirage13–9-0.0226%9 Jul →
cache13–9-0.035%9 Jul →
anubis12–16-0.0315%9 Jul →
ancient5–13-0.0519%9 Jul →
cache8–13-0.0711%9 Jul →
mirage16–140.0214%9 Jul →
mirage13–80.0818%3 Jul →
inferno9–130.0023%3 Jul →
ancient13–10-0.0226%3 Jul →
dust213–8-0.0414%2 Jul →
inferno7–13-0.0417%2 Jul →
inferno11–130.0033%1 Jul →
mirage4–13-0.0913%27 Jun →
anubis13–11-0.0414%27 Jun →
inferno9–13-0.0428%27 Jun →
poseidon4–9-0.1913%27 Jun →
ancient9–13-0.0421%27 Jun →
nuke13–7-0.074%26 Jun →
ancient5–13-0.0426%26 Jun →
mirage13–10-0.0020%26 Jun →
ancient5–13-0.1115%26 Jun →
inferno6–13-0.0021%20 Jun →
ancient15–15-0.0718%20 Jun →
mirage12–16-0.0513%20 Jun →
ancient13–70.0014%19 Jun →
nuke4–13-0.0626%19 Jun →
anubis13–70.0116%17 Jun →
inferno4–130.0128%17 Jun →
mirage13–11-0.0716%14 Jun →
overpass8–13-0.087%14 Jun →
nuke13–10-0.0218%14 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.