Crack

Crack — CS2 Stats

AU76561198131662750[U:1:171397022]Steam profile ↗✓ No bans

1,643Tracked matches50%Win rate2020Tracked since
2,892Hours in CS5Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
Premier CS Rating11,752Blue band · top ~45.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

−663Premier CS Rating · 12,415 → 11,752

Rating over time

Premier CS Rating: 11,752 -617 29 Jun – 14 Oct · 23 days played
10,24814,999peak 14,99929 Jun14 Oct
14,999Peak Premier in tracked matches
28Days played since 2026-06-29

Premier CS Rating

  • 3,247 below peak (14,999)
  • -2,976 over 90 days
  • Next: Purple band at 15,000 — 3,248 to go
  • Reached: Blue band · Light Blue band

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches2——
Win rate0%——
K/D0.51——
Headshot %55%——

Measured 5 Oct 2026 → 14 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate38.2%42.0%44.3%6.1% short
Shot accuracy12.5%9.6%11.9%above
Kill/death ratio1.030.981.03meets
Match win rate46.0%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGCrackPREMIER11,752 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning41
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateLLLWWWLTWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −2.0pp headshot accuracy · +40ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 698ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 628ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 608ms

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 (+3.3 against its own average).

Aim5.8
Utility7.0
Positioning4.1
Opening Duels0.0

Effective flashes

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

Twistzz

Plays most like Twistzz 72% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 609ms 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

Aim5.8
Positioning4.1
Utility7.0
Mechanics6.9
Opening Duels0.5
Win Impact5.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time625ms−21ms
first ⅓ avg 646ms → last ⅓ avg 625ms
Headshot accuracy16.1%−0.8%
first ⅓ avg 16.9% → last ⅓ avg 16.1%

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

0.10Best match rating · 13–1 · anubis, 2 Aug →
32%Best headshot accuracy · 13–0 · dust2, 4 Oct →
422msFastest reaction time · 13–1 · dust2, 17 Jul →
13–0Biggest win · dust2, 4 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 55% over 22cacheWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%-0.01
mirageA2212–1055%0.00
infernoC188–1044%-0.02
anubisC135–838%-0.00
ancientB115–645%-0.02
cacheD91–811%-0.04
train—10–10%0.04

Across the last 100 tracked matches.

Lifetime stats

62,563Lifetime kills
1.03K/D · Top 50% of Blue band
3,858Matches
46.0%Match win rate · Top 50% of Blue band
38.2%Headshot %
12.5%Shot accuracy · Top 50% of Blue band
7,568MVPs
1,462Hours (in match)
3,755Bombs planted
1,400Bombs defused

Most-used weapons

AK-4720,695
AWP5,044
MP92,374
P2502,113
MAC-101,952
AUG1,521

Lifetime map wins

9,075dust2
6,660inferno
1,369nuke
692vertigo
605train
30lake
29office
29ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.0%Headshot accuracy
33.5%Accuracy (enemy spotted)
34.6%Spray accuracy
81.2%Counter-strafing
11.2°Preaim
609msReaction time
27.2%T opening success
34.2%CT opening success
0.85Enemies flashed / flash
8.0%Flash assists
12.29HE damage / grenade
7.40Flashes / 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 27.1828% — below the 40% mark we flag

Spend your practice time on Cache

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

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.0910%14 Oct →
anubis13–16-0.0317%14 Oct →
inferno9–13-0.0714%4 Oct →
mirage13–10-0.0119%4 Oct →
mirage13–40.0414%4 Oct →
dust213–00.0332%4 Oct →
mirage11–13-0.049%3 Oct →
dust215–150.0118%24 Sept →
anubis13–50.016%24 Sept →
inferno8–13-0.0712%6 Sept →
dust213–8-0.0428%6 Sept →
anubis13–8-0.0117%3 Sept →
inferno13–4-0.0226%3 Sept →
mirage13–90.029%3 Sept →
mirage10–13-0.0113%21 Aug →
dust213–16-0.0320%21 Aug →
inferno15–15-0.0116%21 Aug →
ancient13–10-0.0513%18 Aug →
mirage13–8-0.0016%18 Aug →
cache8–13-0.0215%16 Aug →
ancient2–13-0.0724%16 Aug →
inferno13–6-0.0111%16 Aug →
mirage13–90.0115%16 Aug →
dust26–13-0.0410%16 Aug →
ancient13–10-0.094%11 Aug →
inferno14–16-0.0229%11 Aug →
mirage13–90.0411%11 Aug →
dust210–13-0.0418%11 Aug →
dust210–130.0219%11 Aug →
anubis6–13-0.0118%10 Aug →
dust213–70.0319%10 Aug →
anubis10–130.0014%9 Aug →
cache9–13-0.0215%9 Aug →
dust27–13-0.0713%7 Aug →
ancient10–130.0412%7 Aug →
anubis9–13-0.039%7 Aug →
mirage2–13-0.054%6 Aug →
inferno8–13-0.0113%6 Aug →
dust213–20.0313%6 Aug →
dust216–140.0419%6 Aug →
cache9–13-0.0111%6 Aug →
inferno13–10-0.0213%5 Aug →
mirage13–70.0427%5 Aug →
inferno5–130.0011%5 Aug →
ancient8–13-0.0412%5 Aug →
dust213–30.0115%2 Aug →
inferno10–13-0.086%2 Aug →
cache13–8-0.0314%2 Aug →
anubis13–10.1021%2 Aug →
inferno13–70.0327%2 Aug →
dust27–13-0.0516%2 Aug →
mirage7–13-0.0213%2 Aug →
dust26–13-0.0216%27 Jul →
dust213–50.0427%27 Jul →
ancient13–90.0111%27 Jul →
mirage6–13-0.038%27 Jul →
anubis14–160.0821%27 Jul →
dust215–150.0632%27 Jul →
cache7–13-0.0415%27 Jul →
anubis6–13-0.0810%26 Jul →
mirage1–13-0.0719%26 Jul →
ancient3–130.0118%26 Jul →
dust27–13-0.0115%26 Jul →
anubis13–110.0116%25 Jul →
dust23–13-0.0819%25 Jul →
mirage13–110.0119%25 Jul →
inferno16–14-0.0319%24 Jul →
mirage8–13-0.0128%24 Jul →
ancient6–13-0.038%23 Jul →
mirage11–130.0725%23 Jul →
inferno13–90.019%23 Jul →
dust213–10.0819%19 Jul →
ancient13–50.0316%19 Jul →
inferno13–7-0.0116%19 Jul →
dust213–110.0223%19 Jul →
mirage5–130.0411%19 Jul →
mirage13–30.0129%17 Jul →
inferno13–16-0.0115%17 Jul →
dust213–1-0.0423%17 Jul →
cache6–13-0.0632%14 Jul →
inferno13–8-0.0024%14 Jul →
dust22–13-0.0728%14 Jul →
anubis13–90.0314%13 Jul →
dust213–5-0.0018%13 Jul →
mirage13–5-0.0319%13 Jul →
cache6–13-0.0218%13 Jul →
ancient13–7-0.0413%13 Jul →
cache8–13-0.0813%13 Jul →
ancient11–13-0.0315%9 Jul →
mirage13–10-0.0216%9 Jul →
inferno3–13-0.0711%9 Jul →
dust213–5-0.0015%9 Jul →
anubis4–13-0.078%7 Jul →
mirage13–20.0819%7 Jul →
train8–130.045%7 Jul →
inferno6–13-0.058%7 Jul →
dust213–11-0.0511%7 Jul →
cache7–13-0.0311%7 Jul →
mirage11–130.0421%29 Jun →
anubis9–13-0.0115%29 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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