Watermelon

Watermelon — CS2 Stats

US76561198397012497[U:1:436746769]Steam profile ↗✓ No bans

550Tracked matches57%Win rate2020Tracked since
2,039Hours in CS2Hrs last 2 wks
CSDB Rating6.0 SolidHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim62
Positioning61
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateLWWWWLLWWL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim6.2
Aggression6.7
Utility5.9
Positioning6.1
Opening Duels2.6

Strong CT-side openerEffective flashesLimited utility dependence

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

iM

Plays most like iM 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim6.2
Positioning6.1
Utility5.9
Mechanics6.8
Opening Duels2.6
Win Impact7.2

Composite 6.0/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time597ms−16ms
first ⅓ avg 612ms → last ⅓ avg 597ms
Headshot accuracy13.4%+1.0%
first ⅓ avg 12.4% → last ⅓ avg 13.4%

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

0.11Best rating — anubis 13–8
131Biggest win — anubis
4Longest win streak
107In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 80% over 5infernoWeakest map · 35% over 26
MapGradePlayedRecordWin rateAvg rating
mirageC30121840%0.00
infernoC2691735%-0.01
dust2A2012860%-0.01
nukeA85363%-0.01
anubisS54180%0.02
cacheS54180%0.00
ancient42250%0.03
overpass2020%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,488Lifetime kills
0.89K/D
2,972Matches
35.5%Match win rate
34.4%Headshot %
18.3%Shot accuracy · Top 10% of tracked players
5,003MVPs
1,280Hours (in match)
2,701Bombs planted
396Bombs defused

Most-used weapons

AWP9,336
AK-478,984
MP71,616
MP91,312
AUG1,288

Lifetime map wins

4,885dust2
3,846inferno
1,075nuke
911lake
909vertigo
252train
63safehouse
59office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.4%Headshot accuracy
32.5%Accuracy (enemy spotted)
37.2%Spray accuracy
80.5%Counter-strafing
9.5°Preaim
593msReaction time
32.9%T opening success
48.2%CT opening success
0.76Enemies flashed / flash
5.2%Flash assists
9.52HE damage / grenade
3.42Flashes / 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 13.408% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4177 — below the 4 mark we flag

    Grenade Lineups
  3. 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 32.9448% — 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.

35% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage14–160.0112%15 Aug
anubis13–80.119%15 Aug
cache13–9-0.0122%30 Jul
mirage13–3-0.0120%28 Jul
anubis13–11-0.0122%23 Jun
mirage3–13-0.0111%22 Jun
overpass10–13-0.0012%19 Jun
inferno13–9-0.0117%18 Jun
dust213–10-0.0424%16 Jun
mirage9–130.029%16 Jun
mirage13–40.0318%16 Jun
dust25–130.019%11 Jun
anubis13–9-0.009%11 Jun
nuke13–90.0516%9 Jun
inferno9–130.0125%8 Jun
mirage13–11-0.019%8 Jun
inferno13–50.0512%5 Jun
inferno5–13-0.0617%4 Jun
nuke8–13-0.0410%4 Jun
dust213–11-0.0310%2 Jun
inferno11–13-0.0610%1 Jun
dust213–90.0114%1 Jun
inferno12–16-0.037%1 Jun
inferno11–130.0611%31 May
ancient6–130.0211%29 May
dust213–11-0.017%29 May
dust216–120.0613%28 May
dust213–11-0.0016%28 May
mirage10–130.0513%28 May
mirage13–20.039%28 May
inferno10–13-0.0010%27 May
overpass4–13-0.0313%26 May
ancient6–130.0413%26 May
inferno9–13-0.015%26 May
nuke13–16-0.0017%25 May
mirage5–13-0.034%23 May
dust213–10-0.0414%22 May
mirage5–13-0.0511%22 May
mirage15–150.0312%21 May
mirage13–80.0227%21 May
inferno15–150.0211%20 May
inferno13–40.0811%20 May
dust23–13-0.0215%20 May
mirage6–13-0.0919%20 May
inferno8–13-0.0313%20 May
inferno10–13-0.0312%19 May
mirage7–130.0017%19 May
mirage8–13-0.0312%19 May
inferno13–4-0.0117%19 May
mirage13–90.0815%19 May
dust213–10-0.0113%18 May
inferno4–13-0.107%14 May
mirage8–13-0.0211%13 May
cache7–20.0419%13 May
inferno13–6-0.038%13 May
inferno15–15-0.0624%12 May
mirage15–15-0.0511%12 May
dust23–13-0.026%12 May
mirage13–40.0313%10 May
inferno13–90.0321%10 May
inferno7–9-0.030%8 May
anubis13–10.0915%8 May
cache13–60.0415%8 May
mirage6–13-0.0311%7 May
dust213–7-0.028%7 May
nuke13–110.0514%6 May
dust212–16-0.0414%6 May
cache13–110.0214%6 May
inferno13–100.0421%5 May
nuke11–13-0.068%3 May
dust213–11-0.0110%3 May
inferno7–130.0515%30 Apr
inferno10–130.0410%29 Apr
mirage13–7-0.045%29 Apr
inferno13–70.0210%29 Apr
cache10–13-0.0714%29 Apr
ancient13–6-0.0215%29 Apr
inferno6–13-0.0118%28 Apr
mirage9–20.0024%28 Apr
nuke13–11-0.0210%28 Apr
dust29–130.0210%28 Apr
dust25–13-0.0910%28 Apr
nuke13–10-0.0319%28 Apr
dust211–130.0220%27 Apr
mirage13–6-0.0011%27 Apr
dust27–13-0.069%27 Apr
mirage13–60.039%27 Apr
mirage9–130.0513%25 Apr
mirage6–130.0213%24 Apr
nuke13–9-0.018%24 Apr
mirage7–130.0015%24 Apr
ancient13–80.0815%23 Apr
dust213–90.0312%23 Apr
anubis2–13-0.0722%22 Apr
mirage11–13-0.019%22 Apr
inferno7–13-0.066%22 Apr
dust213–60.0813%22 Apr
mirage2–00.110%22 Apr
mirage10–13-0.019%21 Apr
inferno13–10-0.0111%21 Apr

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 →