Gon Freaky

Gon Freaky — CS2 Stats

76561198144498228[U:1:184232500]Steam profile ↗✓ No bans

448Tracked matches53%Win rate2024Tracked since
1,429Hours in CS3Hrs last 2 wks
CSDB Rating5.0 DevelopingPassive Rifler
FaceitLevel 7 · 1,383 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGGon FreakyFACEITLevel 7 · 1,383 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning40
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY51454Last 10051%Win rateLWWLLWLWWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression3.0
Utility5.7
Positioning4.0
Opening Duels0.0
Clutch6.0

Strong CT-side opener

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

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim7.3
Positioning4.0
Utility5.7
Mechanics6.7
Opening Duels1.2
Win Impact6.1

Composite 5.0/10 (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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time569ms−48ms
first ⅓ avg 617ms → last ⅓ avg 569ms
Headshot accuracy20.2%+2.4%
first ⅓ avg 17.8% → last ⅓ avg 20.2%

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

0.17Best rating — cache 13–5
133Biggest win — ancient
4Longest win streak
89In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 75% over 8infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA2011955%0.01
ancientB178947%-0.01
dust2B179853%-0.00
infernoD1431121%-0.02
cacheS86275%0.02
overpassS86275%0.00
anubisC73443%-0.00
nukeB63350%-0.03
train21150%0.02
vertigo110100%-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,529Lifetime kills
1.01K/D
2,215Matches
41.6%Match win rate
40.3%Headshot %
14.9%Shot accuracy · Top 50% of tracked players
5,361MVPs
699Hours (in match)
1,595Bombs planted
367Bombs defused

Most-used weapons

Lifetime map wins

5,126dust2
1,305inferno
1,101office
559nuke
287cbble
242lake
142safehouse
127train

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

Faceit stats

Combat

64Matches
64%Win rate
0.99Avg K/D
79.5ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
33%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%1.0114.6
Dust21080%1.1014.5
Inferno683%1.1511.8
Ancient580%1.0712.8
Nuke2100%0.8811.0
Vertigo10%0.5610.0

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.

19.3%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.9%Spray accuracy
80.3%Counter-strafing
10.0°Preaim
576msReaction time
19.9%T opening success
39.9%CT opening success
0.61Enemies flashed / flash
9.6%Flash assists
11.04HE damage / grenade
7.64Flashes / 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 19.8621% — below the 40% mark we flag

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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0226%24 Aug
cache13–10-0.0314%24 Aug
mirage13–80.078%23 Aug
anubis0–13-0.0321%23 Aug
nuke5–13-0.0519%23 Aug
cache13–50.1737%11 Aug
mirage3–7-0.0025%11 Aug
mirage13–40.0223%11 Aug
vertigo9–7-0.1019%29 Jul
ancient13–6-0.0121%29 Jul
inferno8–8-0.1120%21 Jul
nuke9–10.0175%21 Jul
ancient14–16-0.0411%14 Jul
dust211–13-0.0229%14 Jul
mirage13–5-0.0516%14 Jul
ancient5–13-0.0432%14 Jul
mirage0–13-0.070%14 Jul
dust212–16-0.0634%14 Jul
ancient13–8-0.0318%14 Jul
ancient7–13-0.076%11 Jul
cache11–13-0.049%11 Jul
mirage13–60.0132%11 Jul
dust213–11-0.068%11 Jul
cache13–90.0136%11 Jul
dust28–130.0225%6 Jul
ancient13–50.0413%6 Jul
dust29–10.0111%6 Jul
mirage13–11-0.0215%3 Jul
overpass13–4-0.029%3 Jul
mirage0–4-0.090%1 Jul
ancient8–13-0.0325%1 Jul
dust213–10-0.0113%1 Jul
inferno5–90.0219%30 Jun
dust213–100.0524%30 Jun
ancient14–16-0.027%30 Jun
mirage13–110.0321%30 Jun
nuke13–11-0.0214%28 Jun
mirage13–50.0925%28 Jun
dust28–130.028%28 Jun
mirage13–60.0813%28 Jun
mirage6–13-0.0619%28 Jun
ancient6–13-0.0413%28 Jun
inferno4–130.0024%24 Jun
mirage13–60.0913%24 Jun
inferno2–9-0.1513%24 Jun
inferno3–90.0338%24 Jun
overpass13–11-0.0616%22 Jun
cache13–4-0.0529%22 Jun
train6–13-0.0119%22 Jun
train13–40.0526%22 Jun
dust216–120.0213%21 Jun
mirage10–13-0.0514%21 Jun
inferno7–9-0.0416%20 Jun
dust210–13-0.0129%20 Jun
nuke6–13-0.0713%19 Jun
inferno13–80.1028%18 Jun
overpass8–130.0124%5 Jun
dust213–50.0421%5 Jun
inferno13–5-0.0614%5 Jun
ancient8–13-0.064%5 Jun
ancient13–30.0511%4 Jun
mirage7–130.0330%4 Jun
dust211–13-0.047%4 Jun
mirage13–8-0.0218%4 Jun
ancient13–90.0119%4 Jun
anubis13–50.058%28 May
anubis6–13-0.039%28 May
nuke11–13-0.0029%21 May
inferno11–60.0413%21 May
ancient7–130.0211%21 May
dust212–120.0314%21 May
inferno5–9-0.1023%21 May
cache13–30.0613%21 May
inferno15–15-0.0515%15 May
overpass13–40.0313%15 May
ancient13–80.0616%15 May
dust213–50.0222%3 May
dust213–9-0.0520%3 May
mirage11–130.027%3 May
nuke13–8-0.0222%3 May
cache13–110.0217%1 May
dust213–80.0221%1 May
ancient6–13-0.0112%26 Apr
overpass13–30.0712%26 Apr
mirage11–130.0521%26 Apr
overpass13–100.0423%26 Apr
overpass6–13-0.0310%19 Apr
ancient13–90.0713%19 Apr
overpass13–6-0.0211%19 Apr
mirage6–20.0543%19 Apr
dust24–130.0120%19 Apr
ancient13–70.0016%18 Apr
inferno10–13-0.0026%16 Apr
inferno6–13-0.0625%6 Apr
anubis6–130.0414%6 Apr
inferno10–130.0911%5 Apr
mirage8–13-0.0414%5 Apr
anubis13–11-0.0521%5 Apr
anubis12–12-0.0321%5 Apr
anubis13–30.0418%2 Apr

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 →