maple

maple — CS2 Stats

76561198161641485[U:1:201375757]Steam profile ↗

2,196Tracked matches57%Win rate2020Tracked since
CSDB Rating6.3 SolidEntry Fragger
WingmanSilver III
Ladder ranks via Leetify

Performance scores

Aim69
Positioning61
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY45496Last 10045%Win rateLWWWLLWLLW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim6.9
Aggression10.0
Utility3.4
Positioning6.1
Opening Duels6.4

Strong CT-side openerLimited 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

s1mple

Plays most like s1mple 83% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 65% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim6.9
Positioning6.1
Utility3.4
Mechanics7.2
Opening Duels6.4
Win Impact7.4

Composite 6.3/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time598ms−23ms
first ⅓ avg 621ms → last ⅓ avg 598ms
Headshot accuracy22.1%+0.8%
first ⅓ avg 21.3% → last ⅓ avg 22.1%

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

0.15Best rating — overpass 13–1
131Biggest win — overpass
4Longest win streak
55In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 55% over 22vertigoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA22121055%0.04
cacheC1881044%0.00
ancientB189950%0.01
vertigoC145936%0.03
trainB105550%-0.00
dust241325%-0.02
office42250%0.03
overpass41325%-0.01
anubis32167%0.02
inferno2020%-0.02
nuke1010%-0.04

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

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

21.3%Headshot accuracy
34.1%Accuracy (enemy spotted)
33.0%Spray accuracy
82.4%Counter-strafing
10.6°Preaim
598msReaction time
45.5%T opening success
65.5%CT opening success
0.60Enemies flashed / flash
2.1%Flash assists
9.52HE damage / grenade
4.47Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0363%22 Aug
mirage13–30.1426%22 Aug
ancient13–60.0320%22 Aug
ancient13–70.0221%22 Aug
train10–13-0.0115%22 Aug
ancient10–130.0610%21 Aug
ancient12–10.0131%20 Aug
cache9–130.0126%20 Aug
cache3–9-0.0417%20 Aug
cache13–80.0115%20 Aug
mirage13–90.0213%20 Aug
vertigo10–130.0127%20 Aug
mirage13–3-0.0331%18 Aug
train13–80.0723%18 Aug
mirage5–130.0228%18 Aug
cache9–00.0828%18 Aug
ancient6–13-0.099%18 Aug
vertigo13–5-0.0325%18 Aug
train13–11-0.0319%18 Aug
mirage4–130.0516%16 Aug
cache13–60.0827%15 Aug
dust212–12-0.0220%15 Aug
ancient13–3-0.065%15 Aug
nuke5–13-0.0433%15 Aug
vertigo13–70.0322%15 Aug
cache5–130.0216%15 Aug
office13–40.0923%15 Aug
ancient13–70.0124%15 Aug
overpass12–12-0.0721%15 Aug
vertigo3–130.0613%15 Aug
mirage4–130.0326%15 Aug
mirage13–90.1120%15 Aug
ancient10–13-0.0120%15 Aug
mirage13–90.0115%14 Aug
mirage13–90.0421%13 Aug
mirage13–110.0121%13 Aug
cache3–00.0125%13 Aug
mirage4–13-0.0231%13 Aug
vertigo10–130.0418%13 Aug
dust29–13-0.0520%13 Aug
mirage13–40.0819%13 Aug
cache3–13-0.044%13 Aug
vertigo9–130.0021%13 Aug
ancient13–50.0218%13 Aug
train5–13-0.0814%13 Aug
dust25–7-0.0024%12 Aug
mirage13–100.0423%12 Aug
mirage5–130.0122%12 Aug
cache3–3-0.078%12 Aug
inferno5–13-0.0414%12 Aug
ancient2–130.0024%12 Aug
cache11–13-0.0315%12 Aug
anubis13–50.0119%12 Aug
dust213–100.0116%7 Aug
vertigo11–13-0.0123%7 Aug
anubis5–130.025%7 Aug
train13–10-0.0231%7 Aug
ancient13–60.0118%7 Aug
ancient10–130.1212%7 Aug
cache10–13-0.0133%7 Aug
ancient13–11-0.0323%7 Aug
office13–3-0.0021%6 Aug
mirage5–130.0411%6 Aug
train10–40.0855%6 Aug
overpass13–10.1525%6 Aug
train4–13-0.0346%6 Aug
ancient13–40.0318%6 Aug
overpass8–12-0.0622%6 Aug
train0–130.0124%6 Aug
ancient12–120.0629%6 Aug
office10–130.0119%6 Aug
mirage13–40.0421%5 Aug
vertigo9–13-0.0615%5 Aug
cache12–12-0.0233%5 Aug
vertigo6–130.0323%5 Aug
mirage3–130.0420%5 Aug
mirage8–1-0.0338%5 Aug
vertigo3–130.0713%5 Aug
train13–10.0216%5 Aug
overpass11–13-0.086%5 Aug
anubis13–100.0319%5 Aug
inferno8–13-0.0018%5 Aug
cache11–13-0.0431%5 Aug
ancient2–13-0.050%4 Aug
vertigo13–60.0119%4 Aug
mirage12–12-0.0623%4 Aug
vertigo13–100.0512%4 Aug
office10–130.0120%4 Aug
ancient7–130.1117%4 Aug
cache13–30.0711%4 Aug
cache13–100.0623%2 Aug
vertigo13–20.0826%2 Aug
mirage13–110.0527%1 Aug
mirage2–50.1124%1 Aug
mirage9–130.1222%1 Aug
vertigo12–120.1035%1 Aug
ancient5–13-0.0519%1 Aug
cache13–90.0228%1 Aug
train8–13-0.0221%1 Aug
cache7–13-0.0029%31 Jul

Match data via Leetify.

Milestones

1,000 Matches
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