RED-Ganjaboy

RED-Ganjaboy — CS2 Stats

76561199382847693[U:1:1422581965]Steam profile ↗✓ No bans

411Tracked matches33%Win rate2026Tracked since
325Hours in CS23Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating8,898Light Blue band · top ~60.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (3 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 14 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,898 -1,107 14 Aug14 Sept · 25 days played
8,89813,914peak 13,91414 Aug14 Sept
14,044Peak Premier in tracked matches
26Days played since 2026-08-14

Premier CS Rating

  • 5,016 below peak (13,914)
  • -1,107 over 30 days · declining
  • Next: Blue band at 10,000 1,102 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=8,548), 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 3 medianLevel 4 medianvs Level 4
Headshot rate49.8%41.9%42.7%above
Shot accuracy0.9%12.2%11.2%10.3% short
Kill/death ratio0.910.980.990.09 short
Match win rate43.8%43.3%43.9%meets

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRED-GanjaboyFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER8,898 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim82
Positioning55
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateLLWWLWLLWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +0.3pp headshot accuracy · +57ms 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 639ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 668ms

Last 20

  • 911 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 640ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim8.2
Utility4.5
Positioning5.5
Opening Duels3.9
Clutch2.6

Excellent counter-strafing

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 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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.

Reaction time. 620ms 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

Aim8.2
Positioning5.5
Utility4.5
Mechanics8.7
Opening Duels4.4
Win Impact0.0

Composite 5.4/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time631ms−12ms
first ⅓ avg 642ms → last ⅓ avg 631ms
Headshot accuracy25.5%+4.5%
first ⅓ avg 21.0% → last ⅓ avg 25.5%

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

0.14Best match rating · 8–8 · inferno, 31 Aug
67%Best headshot accuracy · 9–13 · anubis, 11 Sept
469msFastest reaction time · 13–11 · inferno, 5 Sept
13–1Biggest win · mirage, 2 Sept

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
68In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 60% over 10ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA31171455%0.01
dust2B30141647%0.02
infernoB157847%0.01
anubisA106460%0.02
cacheD62433%0.00
ancientD51420%0.00
nuke32167%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,232Lifetime kills
0.91K/D
555Matches
43.8%Match win rate · Top 50% of Level 3 players
49.8%Headshot % · Top 25% of Level 3 players
0.9%Shot accuracy
1,157MVPs
184Hours (in match)
472Bombs planted
101Bombs defused

Most-used weapons

Lifetime map wins

1,331dust2
492inferno
117nuke
74vertigo
23office
18train

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

Faceit stats

Combat

83Matches
43%Win rate
1.03Avg K/D
84.3ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2934%1.0217.9
Dust22157%1.1217.6
Anubis944%0.7912.0
Inferno850%0.9516.5
Ancient70%0.9816.7
Nuke540%0.6714.0
Cache3100%1.7218.3
Vertigo1100%2.7825.0

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.

24.0%Headshot accuracy
35.6%Accuracy (enemy spotted)
36.4%Spray accuracy
89.0%Counter-strafing
8.8°Preaim
620msReaction time
43.4%T opening success
51.5%CT opening success
0.59Enemies flashed / flash
1.0%Flash assists
3.41HE damage / grenade
14.08Flashes / match

Recommended for you

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–130.0326%14 Sept
anubis13–160.039%14 Sept
dust216–13-0.0128%14 Sept
mirage13–7-0.0722%13 Sept
dust25–130.0511%13 Sept
anubis13–80.0716%13 Sept
anubis9–130.0667%11 Sept
cache14–16-0.0230%11 Sept
dust213–100.1132%11 Sept
mirage13–4-0.0014%11 Sept
dust28–13-0.0020%11 Sept
dust213–50.0842%11 Sept
mirage8–13-0.1233%8 Sept
mirage8–13-0.0224%8 Sept
ancient8–130.0429%8 Sept
dust27–13-0.0519%7 Sept
dust211–13-0.0620%6 Sept
mirage13–80.0226%6 Sept
nuke13–20.0719%5 Sept
inferno13–11-0.0520%5 Sept
mirage9–13-0.0325%4 Sept
dust24–130.0427%4 Sept
mirage11–130.0822%4 Sept
mirage13–110.0523%4 Sept
cache9–13-0.0229%4 Sept
dust213–16-0.0319%3 Sept
mirage10–130.0235%3 Sept
dust212–160.0335%3 Sept
cache7–13-0.0620%3 Sept
ancient2–13-0.0815%3 Sept
inferno13–4-0.0221%3 Sept
mirage5–130.0528%3 Sept
dust213–60.1035%2 Sept
mirage13–50.0819%2 Sept
anubis13–160.0117%2 Sept
dust23–130.0021%2 Sept
mirage13–10.0736%2 Sept
inferno5–13-0.0819%2 Sept
mirage13–90.0619%2 Sept
dust213–11-0.0228%1 Sept
mirage13–90.0216%1 Sept
cache13–30.0510%1 Sept
ancient13–80.0513%1 Sept
anubis13–60.0312%1 Sept
inferno13–20.0514%1 Sept
inferno8–80.1430%31 Aug
inferno8–80.0515%31 Aug
inferno9–60.0511%31 Aug
dust213–70.0120%31 Aug
mirage7–13-0.0722%31 Aug
inferno5–9-0.0623%30 Aug
dust213–50.0510%30 Aug
inferno13–5-0.0012%30 Aug
mirage4–13-0.020%29 Aug
dust213–10.0539%29 Aug
dust213–70.0131%29 Aug
inferno13–50.0725%29 Aug
mirage13–110.0232%29 Aug
anubis13–8-0.0119%29 Aug
mirage6–130.0312%27 Aug
dust213–70.0510%27 Aug
dust24–13-0.0528%27 Aug
nuke5–130.0223%27 Aug
cache9–130.0611%27 Aug
dust212–120.0619%27 Aug
cache13–110.0216%26 Aug
mirage15–15-0.0013%26 Aug
anubis9–130.0323%26 Aug
inferno7–9-0.0318%26 Aug
dust212–160.0522%26 Aug
dust27–13-0.0124%26 Aug
inferno11–13-0.0317%25 Aug
dust211–130.0119%24 Aug
anubis13–3-0.0211%24 Aug
dust29–130.0018%23 Aug
mirage15–150.0032%23 Aug
dust28–13-0.0636%23 Aug
inferno13–30.0325%22 Aug
mirage13–100.0230%22 Aug
mirage13–60.0721%22 Aug
mirage13–3-0.0427%21 Aug
mirage13–40.0118%21 Aug
mirage13–90.0015%21 Aug
nuke13–50.0817%21 Aug
anubis13–60.0533%21 Aug
dust212–16-0.0321%21 Aug
dust213–110.0723%21 Aug
ancient8–130.0420%21 Aug
dust213–90.0112%19 Aug
mirage3–13-0.0129%19 Aug
ancient9–13-0.039%18 Aug
dust213–3-0.0420%18 Aug
mirage13–40.0721%18 Aug
anubis13–4-0.0515%18 Aug
mirage13–60.0124%18 Aug
inferno0–120.010%17 Aug
dust213–90.0420%17 Aug
mirage13–20.1017%17 Aug
mirage1–13-0.0230%16 Aug
mirage14–160.0229%14 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 →