Cranberry Enjoyer — CS2 Stats

76561198107346126[U:1:147080398]✓ No bans

1,007Tracked matches52%Win rate2020Tracked since
2,548Hours in CS2Hrs last 2 wks
CSDB Rating4.7 Developing
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate33.7%44.2%44.9%11.1% short
Shot accuracy11.8%11.2%11.8%meets
Kill/death ratio1.101.041.04above
Match win rate41.1%45.3%45.3%4.2% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCranberry EnjoyerFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim41
Positioning63
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49447Last 10049%Win rateWLWWLLWWLW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim4.1
Aggression5.7
Utility5.0
Positioning6.3
Opening Duels3.3
Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 56% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim4.1
Positioning6.3
Utility5.0
Mechanics4.0
Opening Duels3.3
Win Impact5.6

Composite 4.7/10 (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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time610ms+22ms
first ⅓ avg 589ms → last ⅓ avg 610ms
Headshot accuracy13.7%+0.1%
first ⅓ avg 13.5% → last ⅓ avg 13.7%

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.

Highlights

0.16Best rating — dust2 13–11
132Biggest win — dust2
5Longest win streak
105In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 73% over 11nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C34151944%0.01
cacheA159660%0.03
mirageC146843%-0.01
infernoS118373%0.02
nukeD93633%-0.02
ancientA74357%-0.01
anubis32167%-0.02
overpass2020%0.01
office21150%0.01
train21150%0.01
vertigo1010%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,549Lifetime kills
1.10K/D · Top 50% of Level 5 players
4,164Matches
41.1%Match win rate
33.7%Headshot %
11.8%Shot accuracy · Top 50% of Level 5 players
9,229MVPs
1,410Hours (in match)
3,829Bombs planted
1,202Bombs defused

Most-used weapons

AK-4714,271
AWP9,125
P902,520
SSG 082,518
MAC-102,191
MP71,872

Lifetime map wins

10,542dust2
4,698inferno
2,262nuke
988train
405vertigo
165office
164cbble
41stmarc

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

Faceit stats

Combat

187Matches
46%Win rate
0.78Avg K/D
80.5ADR
31%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke367%1.2513.7
Dust230%1.0716.0
Inferno250%0.8616.0
Mirage2100%2.8514.5
Ancient250%1.6417.0
Overpass10%0.6111.0

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.

13.5%Headshot accuracy
31.3%Accuracy (enemy spotted)
32.9%Spray accuracy
67.9%Counter-strafing
10.6°Preaim
622msReaction time
30.3%T opening success
55.7%CT opening success
0.54Enemies flashed / flash
5.0%Flash assists
7.80HE damage / grenade
17.53Flashes / 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 13.5367% — below the 15% mark we flag

    Aim Training
  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 30.336% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.0324%22 Aug
vertigo4–6-0.0731%22 Aug
cache13–90.0123%22 Aug
dust213–11-0.0611%22 Aug
mirage3–13-0.0817%22 Aug
dust25–13-0.038%1 Aug
cache13–3-0.013%26 Jul
ancient13–9-0.009%25 Jul
anubis6–13-0.0311%25 Jul
anubis13–9-0.029%25 Jul
dust213–80.0921%25 Jul
dust25–13-0.0313%19 Jul
ancient13–3-0.069%18 Jul
overpass8–130.0116%17 Jul
mirage8–13-0.0115%17 Jul
cache12–12-0.0312%17 Jul
dust213–20.016%14 Jul
dust213–60.0424%11 Jul
ancient11–13-0.0310%9 Jul
cache8–13-0.0416%9 Jul
mirage13–100.038%9 Jul
dust28–13-0.0611%9 Jul
mirage8–13-0.008%8 Jul
dust213–3-0.0130%8 Jul
mirage10–130.086%4 Jul
overpass5–130.019%4 Jul
inferno13–40.079%4 Jul
dust211–130.0814%3 Jul
inferno13–100.0614%29 Jun
cache13–60.0220%29 Jun
dust25–13-0.0213%28 Jun
inferno13–7-0.048%26 Jun
ancient5–13-0.0714%26 Jun
dust24–13-0.0319%26 Jun
cache13–60.084%23 Jun
mirage4–13-0.009%23 Jun
dust213–9-0.0228%21 Jun
inferno13–110.017%20 Jun
nuke13–50.0113%20 Jun
mirage13–9-0.0325%20 Jun
ancient13–40.038%19 Jun
dust210–130.0716%19 Jun
mirage11–13-0.0115%19 Jun
office6–130.0119%19 Jun
mirage12–12-0.0214%19 Jun
dust213–11-0.0112%17 Jun
train13–110.0113%17 Jun
dust25–13-0.0512%11 Jun
inferno13–20.139%11 Jun
mirage13–8-0.0417%10 Jun
nuke4–13-0.075%10 Jun
dust213–9-0.0810%7 Jun
cache12–120.039%6 Jun
nuke13–6-0.0211%6 Jun
nuke9–13-0.0129%6 Jun
dust25–13-0.0617%6 Jun
inferno12–120.0114%6 Jun
anubis13–3-0.0016%5 Jun
inferno13–70.0119%5 Jun
dust213–90.1113%3 Jun
nuke13–11-0.0015%31 May
cache7–13-0.0123%31 May
cache13–70.0613%31 May
inferno5–13-0.0412%31 May
mirage13–9-0.017%25 May
cache13–90.0913%25 May
inferno4–00.040%25 May
dust213–60.0213%24 May
dust213–110.0425%24 May
cache12–120.0317%24 May
dust21–13-0.0413%23 May
dust22–13-0.0115%23 May
ancient5–130.0110%23 May
train9–130.0012%23 May
cache13–30.1113%23 May
dust25–13-0.0611%23 May
dust24–130.0634%22 May
nuke7–13-0.0420%22 May
nuke11–130.009%21 May
dust28–130.0313%21 May
mirage3–13-0.0519%21 May
dust213–11-0.0516%21 May
nuke6–13-0.0414%19 May
cache13–90.0113%18 May
dust213–110.1616%18 May
ancient13–110.0417%18 May
dust24–130.017%18 May
mirage13–8-0.046%18 May
inferno13–9-0.0310%17 May
cache10–130.045%17 May
dust213–80.028%17 May
inferno10–130.044%16 May
dust29–130.0217%15 May
office13–60.008%15 May
dust28–130.0213%15 May
dust212–120.0416%15 May
cache13–110.0314%14 May
nuke6–130.0011%14 May
dust212–120.064%14 May
dust211–70.0322%14 May

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 →