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Maplenut

Maplenut — CS2 Stats

76561199208453934[U:1:1248188206]Steam profile ↗✓ No bans

649Tracked matches45%Win rate2024Tracked since
CSDB Rating4.5 DevelopingHybrid Rifler
FaceitLevel 5 · 1,153 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGMaplenutFACEITLevel 5 · 1,153 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning56
Utility21

0–100 skill scores via Leetify.

Recent form

HOT53–45–2Last 10053%Win rateWLWLLWWWWW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3
Aggression7.6
Utility2.1
Positioning5.6
Opening Duels3.1
Clutch4.0

Limited 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

b1t

Plays most like b1t 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

Areas to improve

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

Reaction time. 655ms 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

Aim6.3
Positioning5.6
Utility2.1
Mechanics7.0
Opening Duels3.1
Win Impact3.3

Composite 4.5/10 (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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time653ms−37ms
first ⅓ avg 690ms → last ⅓ avg 653ms
Headshot accuracy15.6%−5.5%
first ⅓ avg 21.1% → last ⅓ avg 15.6%

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 — vertigo 9–5
13–2Biggest win — anubis
6Longest win streak
9–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC3013–1743%-0.00
infernoC166–1038%-0.00
nukeS139–469%0.01
dust2S96–367%0.01
ancientB84–450%-0.01
trainA74–357%0.02
anubisB63–350%0.02
vertigoS54–180%0.03
overpass—42–250%0.02
alpine—11–0100%0.04
golden—11–0100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

67Matches
57%Win rate
1.06Avg K/D
80.9ADR
51%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2767%1.1417.1
Ancient1450%0.9613.1
Anubis1346%1.0215.8
Inferno560%0.8613.0
Dust2450%0.9514.3
Train333%1.4121.0
Nuke1100%1.2515.0

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.

15.5%Headshot accuracy
36.3%Accuracy (enemy spotted)
38.5%Spray accuracy
81.6%Counter-strafing
10.5°Preaim
655msReaction time
45.6%T opening success
39.6%CT opening success
0.45Enemies flashed / flash
0.9%Flash assists
2.41HE damage / grenade
2.30Flashes / 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. 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 0.4521 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.5983% — 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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–11-0.0911%2 Apr →
dust29–13-0.0715%31 Mar →
mirage22–20-0.019%11 Mar →
mirage5–13-0.0717%1 Mar →
inferno10–13-0.0616%27 Feb →
vertigo9–50.1720%27 Feb →
ancient13–8-0.0115%20 Feb →
inferno13–90.0124%17 Feb →
dust210–50.0927%17 Feb →
alpine13–50.0418%14 Feb →
dust27–13-0.0223%14 Feb →
mirage13–16-0.0415%3 Feb →
mirage9–13-0.0416%3 Feb →
ancient13–110.0312%29 Jan →
nuke13–80.0113%29 Jan →
mirage13–5-0.0116%29 Jan →
mirage13–80.0110%27 Jan →
mirage13–5-0.0212%27 Jan →
inferno11–13-0.0521%12 Jan →
inferno13–30.1216%6 Jan →
overpass10–13-0.0014%21 Dec →
mirage15–15-0.0410%21 Dec →
nuke3–13-0.058%13 Dec →
mirage13–30.0119%13 Dec →
inferno5–13-0.0513%2 Dec →
inferno10–130.0315%29 Nov →
nuke6–13-0.0313%29 Nov →
train4–130.0734%28 Nov →
mirage7–130.036%28 Nov →
inferno8–13-0.0323%28 Nov →
anubis8–130.0419%24 Nov →
mirage11–130.0011%23 Nov →
ancient13–5-0.036%23 Nov →
mirage13–70.0029%22 Nov →
mirage7–13-0.0419%22 Nov →
vertigo13–70.0222%22 Nov →
mirage2–13-0.0324%22 Nov →
anubis13–20.0547%22 Nov →
dust215–15-0.0522%21 Nov →
nuke13–9-0.0524%20 Nov →
nuke13–80.0225%20 Nov →
mirage13–160.0719%19 Nov →
mirage16–120.0115%19 Nov →
nuke13–70.0214%19 Nov →
dust213–110.0718%19 Nov →
mirage13–11-0.0114%19 Nov →
ancient13–50.0820%19 Nov →
mirage13–60.1119%18 Nov →
nuke6–130.0024%18 Nov →
inferno10–13-0.0028%16 Nov →
inferno13–110.0228%13 Nov →
anubis11–130.0630%13 Nov →
train13–30.0220%13 Nov →
mirage6–13-0.0816%13 Nov →
inferno10–13-0.0220%13 Nov →
nuke13–70.0727%10 Nov →
mirage5–130.1122%10 Nov →
dust213–110.0220%10 Nov →
mirage4–130.0424%10 Nov →
inferno5–13-0.0421%10 Nov →
vertigo13–8-0.0124%9 Nov →
inferno13–80.0521%9 Nov →
ancient4–13-0.0715%9 Nov →
mirage16–13-0.0123%9 Nov →
overpass7–130.0328%9 Nov →
nuke3–00.0522%9 Nov →
mirage11–13-0.0410%9 Nov →
vertigo9–13-0.0017%9 Nov →
train11–13-0.0539%7 Nov →
vertigo13–10-0.0430%7 Nov →
anubis13–30.0048%7 Nov →
inferno10–13-0.0518%5 Nov →
ancient11–13-0.0426%5 Nov →
mirage13–60.0521%4 Nov →
dust213–70.0442%1 Nov →
golden6–0-0.0610%1 Nov →
anubis7–130.0118%1 Nov →
nuke13–40.0729%28 Oct →
mirage8–130.0229%28 Oct →
overpass13–90.0115%26 Oct →
mirage6–13-0.0015%26 Oct →
anubis13–8-0.028%25 Oct →
train13–50.0827%25 Oct →
inferno5–13-0.0412%23 Oct →
nuke4–13-0.0618%23 Oct →
mirage8–13-0.0316%11 Oct →
inferno16–140.0414%4 Oct →
train7–130.0623%3 Oct →
nuke13–90.0214%3 Oct →
mirage13–60.0514%29 Sept →
train13–20.0821%29 Sept →
dust213–90.0722%26 Sept →
ancient14–16-0.0313%25 Sept →
overpass13–90.0315%24 Sept →
nuke13–20.0416%23 Sept →
ancient10–13-0.0320%23 Sept →
inferno13–70.0417%23 Sept →
mirage13–9-0.0622%22 Sept →
mirage9–13-0.0319%22 Sept →
dust213–11-0.0227%21 Sept →

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 →

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