John Dragonball — CS2 Stats

76561198883733395[U:1:923467667]✓ No bans

1,779Tracked matches46%Win rate2020Tracked since
2,547Hours in CS7Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating17,418Purple band · top ~18.8% of ranked players (population est.)
CSDB Leaderboard#6791 of 11828 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGJohn DragonballFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,418 · Purple bandcsdb.gg/stats

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Performance scores

Aim42
Positioning56
Utility65

0–100 skill scores via Leetify.

Recent form

COLD494110Last 10049%Win rateLLTLTLTTWL

Last 10 vs previous 10: -50pp win rate · -0.03 avg rating

Player DNA

Aim4.2
Aggression6.4
Utility6.5
Positioning5.6
Opening Duels3.0
Clutch4.0

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 52% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 678ms 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

Aim4.2
Positioning5.6
Utility6.5
Mechanics6.7
Opening Duels3.0
Win Impact3.7

Composite 5.0/10 (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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time667ms+36ms
first ⅓ avg 631ms → last ⅓ avg 667ms
Headshot accuracy16.0%−1.7%
first ⅓ avg 17.7% → last ⅓ avg 16.0%

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

0.18Best rating — poseidon 9–4
130Biggest win — cache
6Longest win streak
L2Current streak
510In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 83% over 6infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA169756%0.03
ancientB157847%0.02
nukeB137654%0.03
anubisB115645%0.01
cacheD93633%0.02
trainC73443%0.03
dust2D62433%0.03
overpassS65183%0.01
vertigoA53260%-0.01
infernoD5050%0.04
poseidon220100%0.13
fachwerk110100%-0.02
boulder1010%-0.02
debris110100%-0.04
office110100%0.09
stronghold1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,500Lifetime kills
1.27K/D · Top 25% of tracked players
4,036Matches
44.3%Match win rate
45.0%Headshot %
11.7%Shot accuracy
11,077MVPs
1,459Hours (in match)
5,127Bombs planted
1,220Bombs defused

Most-used weapons

AK-4730,309
AWP10,231
SSG 081,968
FAMAS1,569
MAC-101,440
MP91,156

Lifetime map wins

4,036inferno
3,586dust2
3,254vertigo
2,999nuke
1,787train
1,299office
505lake
340cbble

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

Faceit stats

Combat

58Matches
53%Win rate
1.23Avg K/D
86.5ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
57%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis333%1.4619.0
Nuke3100%1.5919.3
Vertigo333%1.1313.0
Mirage2100%1.7219.0
Dust21100%1.4021.0
Ancient1100%0.6710.0

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.

15.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
30.9%Spray accuracy
80.0%Counter-strafing
12.7°Preaim
678msReaction time
32.4%T opening success
51.5%CT opening success
0.69Enemies flashed / flash
7.6%Flash assists
9.33HE damage / grenade
11.65Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7001° — above the 12° 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis8–130.0518%22 Aug
vertigo4–13-0.056%22 Aug
dust212–12-0.0414%22 Aug
nuke11–130.0617%22 Aug
train12–120.0715%22 Aug
ancient4–130.0120%22 Aug
ancient12–12-0.079%16 Aug
train12–12-0.0322%16 Aug
vertigo13–5-0.0213%16 Aug
nuke2–11-0.019%16 Aug
mirage11–130.0118%8 Aug
train13–60.0415%8 Aug
vertigo13–80.0417%4 Aug
cache13–30.1014%2 Aug
anubis13–5-0.018%2 Aug
mirage13–5-0.0126%2 Aug
nuke9–130.0416%2 Aug
inferno7–130.0223%2 Aug
mirage13–90.0911%2 Aug
ancient9–13-0.0316%1 Aug
nuke13–100.0214%1 Aug
mirage6–130.0617%1 Aug
fachwerk13–9-0.0216%1 Aug
overpass13–40.0320%1 Aug
boulder10–13-0.0223%1 Aug
anubis5–13-0.0615%1 Aug
ancient8–130.0214%1 Aug
mirage13–10-0.019%1 Aug
vertigo13–10-0.0214%1 Aug
anubis8–130.0320%29 Jul
ancient13–90.1023%28 Jul
dust211–130.1024%25 Jul
inferno11–130.0513%25 Jul
mirage13–60.0420%25 Jul
cache13–0-0.0113%25 Jul
ancient13–90.0616%25 Jul
cache13–30.0420%25 Jul
poseidon9–40.1823%25 Jul
debris9–5-0.0411%25 Jul
cache3–5-0.070%25 Jul
anubis13–50.0321%25 Jul
anubis13–100.0214%25 Jul
nuke13–70.0815%25 Jul
cache11–13-0.0213%21 Jul
anubis15–150.0322%21 Jul
ancient13–100.0418%18 Jul
nuke12–120.0113%18 Jul
mirage10–130.0619%2 May
cache5–130.0520%2 May
inferno4–130.0219%2 May
cache12–120.0415%29 Apr
cache11–13-0.055%29 Apr
cache11–130.1214%29 Apr
nuke13–11-0.049%27 Apr
dust28–130.0623%27 Apr
ancient8–130.0625%27 Apr
train9–130.0315%27 Apr
office13–90.0919%27 Apr
stronghold8–130.0422%22 Apr
train13–40.0918%22 Apr
mirage11–130.1318%17 Apr
vertigo1–13-0.0112%3 Apr
ancient13–40.0220%30 Mar
mirage3–13-0.0422%29 Mar
inferno12–120.0821%28 Mar
nuke13–60.0916%28 Mar
overpass13–40.0722%28 Mar
nuke13–60.0618%12 Mar
mirage13–100.0920%3 Mar
nuke13–70.0120%3 Mar
ancient10–130.0117%1 Mar
overpass13–50.0114%1 Mar
train8–13-0.0517%1 Mar
anubis9–130.0424%28 Feb
ancient13–90.0526%28 Feb
nuke9–130.0319%28 Feb
overpass11–13-0.0710%28 Feb
ancient12–120.0815%26 Feb
overpass13–80.0619%26 Feb
overpass13–9-0.0229%24 Feb
nuke13–20.0621%24 Feb
ancient13–10-0.0118%24 Feb
mirage9–130.0122%23 Feb
inferno12–120.0423%23 Feb
dust27–13-0.0621%21 Feb
train13–110.0317%21 Feb
mirage13–11-0.0310%21 Feb
ancient10–13-0.047%20 Feb
mirage13–90.0918%17 Feb
poseidon9–50.0811%17 Feb
anubis8–13-0.0414%15 Feb
dust213–40.0730%15 Feb
mirage8–13-0.0015%15 Feb
mirage13–80.1013%15 Feb
anubis16–140.0823%15 Feb
ancient10–20.0217%15 Feb
mirage13–5-0.0615%15 Feb
dust213–70.069%15 Feb
nuke10–130.0415%15 Feb
anubis13–11-0.0118%15 Feb

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 →