Crasy_93

Crasy_93 — CS2 Stats

DE76561198000245991[U:1:39980263]Steam profile ↗✓ No bans

268Tracked matches80%Win rate2021Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating9,728Light Blue band · top ~56.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (9 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: 9,728 +2,169 13 Oct – 22 Oct · 4 days played
7,5599,728peak 9,72813 Oct22 Oct
9,845Peak Premier in tracked matches
37Days played since 2026-09-10

Premier CS Rating

  • At peak — 9,728
  • Next: Blue band at 10,000 — 272 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGCrasy_93FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,728 · Light Blue 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

Aim61
Positioning60
Utility61

0–100 skill scores via Leetify.

Recent form

HOT56–43–1Last 10056%Win rateWWWWWWWWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · +14ms reaction

Win rate up 20pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 9%
  • Avg reaction 609ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 552ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 545ms

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 (+1.4 against its own average).

Aim6.1
Utility6.1
Positioning6.0
Opening Duels3.0
Clutch3.6

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

NiKo

Plays most like NiKo 78% 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

Counter-strafing. Only 66% 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

Aim6.1
Positioning6.0
Utility6.1
Mechanics3.7
Opening Duels3.8
Win Impact10.0

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+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time542ms−26ms
first ⅓ avg 568ms → last ⅓ avg 542ms
Headshot accuracy12.1%−0.8%
first ⅓ avg 12.9% → last ⅓ avg 12.1%

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

0.15Best match rating · 13–3 · dust2, 8 Oct →
27%Best headshot accuracy · 13–2 · mirage, 3 Oct →
430msFastest reaction time · 7–13 · ancient, 26 Sept →
13–0Biggest win · mirage, 26 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W8Current streak
7–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 75% over 24infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
ancientS2418–675%-0.01
infernoC166–1038%-0.02
nukeB147–750%-0.01
mirageB147–750%-0.00
dust2C146–843%-0.01
anubisS75–271%-0.01
cache—31–233%0.01
vertigo—32–167%0.03
office—22–0100%0.09
shelter—22–0100%0.05
train—10–10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

147Matches
48%Win rate
0.93Avg K/D
74.1ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient5163%1.0315.8
Mirage2433%0.8112.4
Inferno1932%0.8214.5
Nuke1656%1.0714.3
Dust21527%0.7511.8
Anubis1267%0.9414.3
Cache933%0.8414.0
Vertigo1100%1.8220.0

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.

12.4%Headshot accuracy
36.4%Accuracy (enemy spotted)
40.0%Spray accuracy
66.5%Counter-strafing
10.4°Preaim
527msReaction time
50.0%T opening success
40.3%CT opening success
0.52Enemies flashed / flash
10.3%Flash assists
6.18HE damage / grenade
12.19Flashes / 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 12.4156% — below the 15% mark we flag

    Aim Training →
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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–110.1016%28 Oct →
office13–40.0915%28 Oct →
nuke13–70.025%26 Oct →
ancient13–80.024%26 Oct →
mirage13–00.025%26 Oct →
inferno19–16-0.087%25 Oct →
ancient13–50.0217%25 Oct →
ancient13–8-0.0317%23 Oct →
nuke8–13-0.0311%23 Oct →
inferno13–60.0221%23 Oct →
anubis5–13-0.0113%23 Oct →
dust213–11-0.0225%22 Oct →
nuke13–50.0616%22 Oct →
ancient13–60.0414%22 Oct →
cache11–130.039%22 Oct →
dust213–30.0815%22 Oct →
nuke13–8-0.054%20 Oct →
nuke13–50.048%20 Oct →
nuke6–130.0318%20 Oct →
cache13–100.048%19 Oct →
mirage13–70.1121%19 Oct →
mirage13–100.1017%19 Oct →
anubis13–8-0.019%17 Oct →
mirage8–13-0.1110%16 Oct →
nuke13–60.0211%16 Oct →
mirage13–11-0.0319%16 Oct →
anubis13–110.078%15 Oct →
ancient13–9-0.034%15 Oct →
ancient13–50.0018%15 Oct →
mirage11–13-0.0110%14 Oct →
dust213–16-0.0611%14 Oct →
ancient10–13-0.027%13 Oct →
inferno7–20.007%13 Oct →
nuke10–13-0.058%12 Oct →
mirage3–13-0.0617%12 Oct →
inferno8–13-0.0418%12 Oct →
dust26–13-0.058%12 Oct →
ancient16–140.039%11 Oct →
dust28–13-0.0915%11 Oct →
nuke10–13-0.0115%11 Oct →
ancient13–3-0.005%8 Oct →
ancient13–10-0.027%8 Oct →
dust213–30.1511%8 Oct →
ancient13–0-0.0313%7 Oct →
mirage13–50.0515%4 Oct →
mirage6–13-0.0513%4 Oct →
ancient13–30.0313%4 Oct →
mirage13–7-0.0110%4 Oct →
anubis6–130.0313%4 Oct →
mirage13–20.0827%3 Oct →
inferno11–130.0319%2 Oct →
ancient13–5-0.0021%2 Oct →
anubis13–10-0.0213%2 Oct →
dust28–130.0113%2 Oct →
anubis16–12-0.066%1 Oct →
nuke11–130.0124%30 Sept →
dust28–13-0.0210%29 Sept →
dust213–7-0.045%29 Sept →
inferno4–13-0.0116%27 Sept →
ancient16–12-0.0711%27 Sept →
inferno7–13-0.0415%27 Sept →
inferno13–160.0315%26 Sept →
inferno13–60.0418%26 Sept →
ancient13–60.1219%26 Sept →
dust25–13-0.0324%26 Sept →
ancient7–130.017%26 Sept →
shelter13–3-0.0015%25 Sept →
shelter13–00.1014%25 Sept →
vertigo13–90.0211%25 Sept →
vertigo12–120.008%25 Sept →
mirage15–19-0.0217%25 Sept →
inferno11–13-0.0818%24 Sept →
ancient13–7-0.009%24 Sept →
dust29–13-0.0611%24 Sept →
nuke13–10-0.0210%22 Sept →
inferno9–13-0.0711%22 Sept →
inferno9–13-0.0613%22 Sept →
inferno16–14-0.037%21 Sept →
vertigo13–80.0719%20 Sept →
ancient7–13-0.087%20 Sept →
dust213–90.0417%20 Sept →
anubis22–20-0.0311%19 Sept →
ancient6–13-0.105%19 Sept →
ancient7–13-0.0210%19 Sept →
inferno13–7-0.0323%19 Sept →
inferno10–130.0123%18 Sept →
dust25–13-0.0912%18 Sept →
ancient13–9-0.0518%18 Sept →
inferno10–130.0318%17 Sept →
mirage5–13-0.0719%17 Sept →
mirage3–13-0.0710%16 Sept →
nuke3–13-0.099%14 Sept →
ancient8–13-0.0112%13 Sept →
cache3–13-0.0513%13 Sept →
train8–13-0.069%12 Sept →
ancient13–5-0.055%12 Sept →
ancient13–10.0314%12 Sept →
nuke13–8-0.0113%12 Sept →
dust213–70.1024%12 Sept →
nuke1–13-0.078%10 Sept →

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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