Cranjis McBasketball

Cranjis McBasketball — CS2 Stats

UZ76561199071522734[U:1:1111257006]Steam profile ↗✓ No bans

481Tracked matches38%Win rate2026Tracked since
783Hours in CS15Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating13,195Blue band · top ~38% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 481 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,195 -2,702 27 Aug – 1 Nov · 46 days played
13,19518,690peak 18,69027 Aug1 Nov
18,690Peak Premier in tracked matches
44Days played since 2026-08-27

Premier CS Rating

  • 5,495 below peak (18,690)
  • -1,690 over 30 days · declining
  • Next: Purple band at 15,000 — 1,805 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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 rate100%——
K/D1.44——
Headshot %22%——

Measured 1 Nov 2026 → 7 Nov 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 rate39.4%42.0%44.4%5.0% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio0.890.981.030.14 short
Match win rate46.3%43.8%45.2%above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGCranjis McBasketballPREMIER13,195 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning52
Utility44

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateLLLTLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.06 avg rating · −0.2pp headshot accuracy · −59ms reaction

Win rate down 40pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 525ms

Last 10

  • 0–9–1 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 522ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 552ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim4.6
Utility4.4
Positioning5.2
Opening Duels1.9

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 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 59% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 552ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.6
Positioning5.2
Utility4.4
Mechanics3.9
Opening Duels4.5
Win Impact1.0

Composite 4.0/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time552ms−9ms
first ⅓ avg 561ms → last ⅓ avg 552ms
Headshot accuracy12.4%−2.7%
first ⅓ avg 15.2% → last ⅓ avg 12.4%

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 · 9–13 · dust2, 2 Oct →
27%Best headshot accuracy · 13–11 · ancient, 17 Oct →
305msFastest reaction time · 6–13 · mirage, 21 Sept →
13–2Biggest win · ancient, 21 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
7–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 75% over 12cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeD237–1630%-0.01
mirageB209–1145%-0.02
dust2C188–1044%0.02
anubisS129–375%-0.02
ancientA116–555%-0.01
infernoA95–456%-0.01
cacheD71–614%-0.04

Across the last 100 tracked matches.

Lifetime stats

9,270Lifetime kills
0.89K/D
671Matches
46.3%Match win rate · Top 50% of Blue band
39.4%Headshot %
0.0%Shot accuracy
1,231MVPs
241Hours (in match)
1,009Bombs planted
154Bombs defused

Most-used weapons

Lifetime map wins

1,348dust2
1,220nuke
502inferno
99vertigo
29train
3ar_shoots
2ar_baggage
1office

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.

12.8%Headshot accuracy
31.2%Accuracy (enemy spotted)
29.0%Spray accuracy
67.6%Counter-strafing
9.7°Preaim
552msReaction time
58.9%T opening success
36.7%CT opening success
0.64Enemies flashed / flash
2.2%Flash assists
8.42HE damage / grenade
7.58Flashes / 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 12.8116% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.7447% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0512%30 Oct →
inferno6–13-0.029%30 Oct →
nuke8–13-0.0617%28 Oct →
cache15–15-0.0411%27 Oct →
nuke10–13-0.119%26 Oct →
ancient2–13-0.0114%25 Oct →
cache14–16-0.0311%25 Oct →
mirage8–13-0.068%25 Oct →
inferno8–13-0.0514%23 Oct →
mirage11–13-0.029%23 Oct →
nuke9–130.0614%22 Oct →
mirage14–16-0.0211%22 Oct →
dust213–60.124%21 Oct →
inferno13–7-0.0316%21 Oct →
ancient13–20.0812%21 Oct →
cache6–13-0.1022%20 Oct →
mirage16–12-0.0213%19 Oct →
ancient3–13-0.037%19 Oct →
inferno4–13-0.054%19 Oct →
nuke4–110.1013%19 Oct →
dust213–10-0.0112%19 Oct →
nuke9–13-0.0216%18 Oct →
ancient13–11-0.0127%17 Oct →
ancient14–16-0.0521%16 Oct →
inferno13–11-0.0514%15 Oct →
nuke8–13-0.0711%14 Oct →
nuke13–7-0.0316%14 Oct →
dust213–70.0110%14 Oct →
anubis13–11-0.0313%13 Oct →
nuke13–7-0.0012%11 Oct →
inferno15–15-0.0018%9 Oct →
cache13–10-0.0513%8 Oct →
inferno9–2-0.030%8 Oct →
dust210–13-0.0313%8 Oct →
anubis6–130.009%6 Oct →
dust213–50.0925%6 Oct →
mirage13–9-0.024%6 Oct →
cache15–150.0315%6 Oct →
mirage13–6-0.0110%6 Oct →
inferno13–60.0417%5 Oct →
nuke13–10-0.028%5 Oct →
anubis10–13-0.119%4 Oct →
anubis13–50.0212%4 Oct →
anubis13–9-0.076%3 Oct →
cache6–13-0.078%3 Oct →
anubis13–110.068%3 Oct →
dust29–130.1524%2 Oct →
nuke9–13-0.0115%1 Oct →
mirage13–5-0.0511%30 Sept →
dust24–13-0.0223%29 Sept →
mirage5–13-0.1113%29 Sept →
mirage6–11-0.0214%26 Sept →
mirage6–130.0524%21 Sept →
dust215–150.0310%20 Sept →
dust26–130.0325%20 Sept →
nuke13–9-0.0215%20 Sept →
cache2–13-0.015%19 Sept →
inferno13–90.0816%19 Sept →
dust213–70.0614%19 Sept →
nuke13–90.0810%19 Sept →
ancient13–40.0312%19 Sept →
mirage13–40.0311%19 Sept →
mirage13–20.0618%19 Sept →
mirage15–15-0.0318%19 Sept →
nuke11–13-0.0220%19 Sept →
mirage13–9-0.0421%18 Sept →
nuke10–130.0021%16 Sept →
ancient13–9-0.0518%16 Sept →
nuke8–13-0.0521%16 Sept →
dust26–13-0.0211%16 Sept →
dust213–9-0.0121%16 Sept →
nuke9–13-0.026%16 Sept →
anubis16–140.0223%14 Sept →
dust210–13-0.0814%14 Sept →
nuke2–13-0.0619%14 Sept →
mirage13–7-0.072%13 Sept →
dust25–130.048%13 Sept →
anubis13–11-0.067%13 Sept →
nuke13–8-0.017%13 Sept →
nuke9–13-0.0126%12 Sept →
ancient13–6-0.039%12 Sept →
mirage10–130.0126%11 Sept →
mirage10–13-0.0416%11 Sept →
ancient11–13-0.0216%11 Sept →
nuke13–9-0.0127%10 Sept →
mirage8–13-0.026%10 Sept →
dust29–13-0.1013%10 Sept →
dust28–13-0.0813%10 Sept →
ancient13–100.0720%9 Sept →
mirage15–15-0.0121%9 Sept →
nuke7–13-0.0919%7 Sept →
mirage13–60.0416%7 Sept →
nuke1–130.0021%7 Sept →
anubis12–16-0.0518%2 Sept →
nuke10–130.0215%1 Sept →
dust213–90.0312%30 Aug →
anubis13–70.0112%30 Aug →
dust213–60.1315%30 Aug →
anubis16–140.028%30 Aug →
anubis13–9-0.0716%27 Aug →

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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