Megalodon鮫 — CS2 Stats

76561198295646118[U:1:335380390]✓ No bans

924Tracked matches50%Win rate2025Tracked since
1,699Hours in CS17Hrs last 2 wks
CSDB Rating2.6 Learning
WingmanMaster Guardian I
Ladder ranks via Leetify

Performance scores

Aim20
Positioning47
Utility9

0–100 skill scores via Leetify.

Recent form

STEADY444313Last 10044%Win rateWWWLLLLTWL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Aim2.0
Aggression4.9
Utility0.9
Positioning4.7
Opening Duels1.1
Clutch0.0

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

NiKo

Plays most like NiKo 70% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim2.0
Positioning4.7
Utility0.9
Mechanics1.4
Opening Duels1.7
Win Impact5.0

Composite 2.6/10 (Learning), 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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time664ms−6ms
first ⅓ avg 669ms → last ⅓ avg 664ms
Headshot accuracy13.1%+0.3%
first ⅓ avg 12.8% → last ⅓ avg 13.1%

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

0.27Best rating — dust2 13–4
131Biggest win — nuke
6Longest win streak
W3Current streak
58In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 60% over 10trainWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C27121544%-0.01
nukeA127558%-0.01
cacheD124833%-0.00
infernoA106460%-0.00
trainD103730%-0.03
officeC73443%0.01
anubisD62433%-0.01
mirage42250%0.01
ancient41325%-0.03
overpass31233%-0.04
vertigo32167%-0.02
warden21150%-0.01

Across the last 100 tracked matches.

Lifetime stats

25,779Lifetime kills
0.71K/D
1,840Matches
34.1%Match win rate
39.0%Headshot %
0.0%Shot accuracy
2,776MVPs
813Hours (in match)
1,489Bombs planted
310Bombs defused

Most-used weapons

Lifetime map wins

2,678dust2
1,596nuke
1,582inferno
902train
524vertigo
514office
153italy
13lake

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

Faceit stats

Combat

2Matches
0%Win rate
0.75Avg K/D
80.2ADR
44%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.569.0
Ancient10%0.9416.0

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.

13.0%Headshot accuracy
29.0%Accuracy (enemy spotted)
30.7%Spray accuracy
56.1%Counter-strafing
12.1°Preaim
650msReaction time
25.5%T opening success
43.4%CT opening success
0.10Enemies flashed / flash
4.6%Flash assists
2.71HE damage / grenade
1.16Flashes / 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 12.0916° — above the 12° mark we flag

    Aim Training
  2. 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 13.0392% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1032 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Train

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–2-0.0219%28 Aug
nuke13–7-0.0110%28 Aug
inferno13–5-0.0320%28 Aug
dust27–13-0.0113%28 Aug
dust28–13-0.0426%28 Aug
dust26–13-0.085%28 Aug
cache8–13-0.0312%28 Aug
cache12–12-0.019%28 Aug
mirage13–30.0422%28 Aug
anubis5–13-0.0614%27 Aug
dust213–40.2714%22 Aug
inferno13–6-0.0710%22 Aug
dust216–12-0.055%21 Aug
dust213–50.068%21 Aug
anubis13–9-0.0721%21 Aug
dust213–60.0214%20 Aug
nuke11–130.0511%19 Aug
mirage11–130.0514%19 Aug
ancient13–40.0011%19 Aug
dust26–13-0.066%19 Aug
train13–10-0.0213%12 Aug
train3–13-0.0316%12 Aug
train6–13-0.089%12 Aug
train3–13-0.0219%12 Aug
train7–13-0.1011%12 Aug
inferno13–8-0.0013%10 Aug
overpass3–13-0.1018%7 Aug
nuke12–12-0.0012%7 Aug
anubis3–130.019%7 Aug
dust213–9-0.0116%7 Aug
dust27–13-0.054%14 Jul
office13–8-0.0517%8 Jul
office12–120.0111%8 Jul
cache13–80.0119%7 Jul
cache7–130.0715%1 Jul
cache0–20.1733%1 Jul
dust213–9-0.0422%25 Jun
dust212–12-0.0314%25 Jun
nuke13–100.0414%25 Jun
dust210–13-0.038%24 Jun
train13–7-0.0017%24 Jun
train8–130.1211%20 Jun
train6–13-0.0721%20 Jun
train4–13-0.046%17 Jun
nuke13–8-0.0724%13 Jun
train13–9-0.0213%10 Jun
dust28–13-0.047%10 Jun
dust213–9-0.0514%3 Jun
vertigo13–6-0.0014%3 Jun
vertigo13–110.0111%3 Jun
nuke13–10.0313%2 Jun
cache13–4-0.0010%2 Jun
dust212–12-0.0113%2 Jun
dust213–80.0318%1 Jun
office3–4-0.049%1 Jun
office13–70.000%1 Jun
ancient12–12-0.0615%29 May
overpass11–13-0.0113%28 May
inferno12–12-0.015%28 May
nuke13–30.0211%28 May
anubis12–120.1111%28 May
dust213–10-0.0317%28 May
cache2–13-0.110%27 May
anubis13–9-0.038%27 May
anubis10–130.0020%27 May
dust211–13-0.0426%27 May
cache9–13-0.0712%27 May
cache13–11-0.049%26 May
nuke13–7-0.1017%26 May
dust28–13-0.0714%26 May
ancient3–13-0.0712%26 May
inferno0–70.0017%26 May
nuke13–10-0.0416%26 May
cache11–13-0.036%24 May
nuke12–12-0.066%24 May
dust211–13-0.0613%23 May
inferno8–80.027%23 May
inferno5–9-0.149%23 May
nuke3–13-0.0017%21 May
vertigo5–13-0.0714%21 May
inferno13–30.087%20 May
mirage10–13-0.0417%15 May
inferno9–20.1329%15 May
dust211–130.0113%15 May
nuke9–13-0.0120%14 May
office7–130.078%14 May
warden13–80.0110%14 May
overpass13–9-0.0310%14 May
dust213–11-0.025%13 May
dust22–13-0.098%13 May
ancient12–12-0.0015%13 May
inferno13–6-0.0012%13 May
dust29–130.0320%13 May
cache3–130.0324%13 May
office12–120.0817%13 May
office7–130.039%13 May
dust213–100.0011%13 May
dust28–00.064%13 May
warden12–12-0.0415%12 May
cache13–11-0.0310%12 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →