MAULER-.-

MAULER-.- — CS2 Stats

FI76561198047917935[U:1:87652207]Steam profile ↗✓ No bans

3,390Tracked matches52%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,162 → 3,162
+4Tracked matches · now 3,390
+1.7ppWin rate · 50.0% → 51.7%

Rating over time

Premier CS Rating: 29,288 +3,543 8 Nov – 6 Jan · 7 days played
25,74529,288peak 29,2888 Nov6 Jan
Faceit ELO: 3,162 +0 28 Aug – 20 Sept · 3 observations
3,1623,162peak 3,16228 Aug20 Sept
29,320Peak Premier in tracked matches
3,162Highest Faceit ELO seen on CSDB
35Days played since 2025-09-30

Faceit ELO

  • At peak — 3,162
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 338 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGMAULER-.-30 DAYS0 ELOPEAK ELO3,162csdb.gg/stats

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Performance scores

Aim54
Positioning54
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateTLLWWWWWLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −2.6pp headshot accuracy · −56ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 541ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 570ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 598ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim5.4
Utility7.3
Positioning5.4
Opening Duels2.0
Clutch4.4

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 71% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 569ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.4
Positioning5.4
Utility7.3
Mechanics3.9
Opening Duels1.7
Win Impact5.6

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.04
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time582ms+17ms
first ⅓ avg 565ms → last ⅓ avg 582ms
Headshot accuracy24.0%+1.8%
first ⅓ avg 22.2% → last ⅓ avg 24.0%

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.

Personal bests

0.24Best match rating · 13–6 · nuke, 31 Dec →
41%Best headshot accuracy · 4–13 · mirage, 1 Jan →
391msFastest reaction time · 4–13 · inferno, 10 Feb →
13–0Biggest win · anubis, 4 Feb →

Across the last 100 tracked matches.

Highlights

9Longest win streak
5–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 71% over 7ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeA4227–1564%0.06
mirageA2011–955%0.04
dust2A127–558%0.02
infernoS75–271%0.07
ancientD72–529%-0.01
train—41–325%0.00
cache—31–233%-0.01
overpass—31–233%0.01
anubis—21–150%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,527Matches
54%Win rate
1.12Avg K/D
76.4ADR
51%Headshot %

Clutches & streaks

42%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage48151%1.0414.8
Nuke43462%1.2015.4
Dust230751%0.9914.9
Ancient28751%1.0015.3
Inferno28256%1.1315.2
Anubis18043%1.0315.4
Train12554%1.1115.9
Overpass3551%0.9815.0

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.

23.6%Headshot accuracy
31.3%Accuracy (enemy spotted)
34.6%Spray accuracy
67.4%Counter-strafing
12.5°Preaim
569msReaction time
37.3%T opening success
35.9%CT opening success
0.71Enemies flashed / flash
11.0%Flash assists
11.13HE damage / grenade
15.77Flashes / 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 12.4515° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–120.0527%30 Sept →
cache8–13-0.0721%30 Sept →
nuke6–13-0.0313%26 Sept →
mirage13–90.1322%16 May →
inferno13–70.1125%16 May →
dust213–40.1528%16 May →
mirage16–13-0.0322%16 May →
cache13–110.0430%15 May →
cache5–13-0.0126%15 May →
dust214–16-0.049%25 Feb →
overpass2–6-0.0913%17 Feb →
mirage10–13-0.0336%17 Feb →
nuke13–80.0131%15 Feb →
ancient13–4-0.0219%11 Feb →
inferno4–13-0.0812%10 Feb →
mirage4–130.0531%10 Feb →
nuke13–8-0.0125%9 Feb →
mirage13–9-0.0521%9 Feb →
nuke7–130.0438%8 Feb →
nuke13–40.1423%8 Feb →
dust213–16-0.0425%5 Feb →
ancient0–13-0.0833%4 Feb →
dust213–6-0.0129%4 Feb →
anubis13–00.0519%4 Feb →
mirage13–00.0736%4 Feb →
dust216–14-0.0115%2 Feb →
anubis11–130.0422%23 Jan →
mirage8–13-0.0239%23 Jan →
ancient11–13-0.0313%20 Jan →
dust213–70.0318%20 Jan →
mirage11–130.0129%19 Jan →
dust29–13-0.0227%13 Jan →
nuke11–130.0217%11 Jan →
nuke13–100.0320%11 Jan →
nuke13–100.1329%10 Jan →
nuke13–30.1023%10 Jan →
nuke8–30.0337%10 Jan →
nuke13–70.0822%10 Jan →
nuke13–30.1725%10 Jan →
nuke8–13-0.0214%6 Jan →
nuke13–90.1718%6 Jan →
nuke13–100.1830%6 Jan →
nuke6–13-0.085%6 Jan →
overpass13–90.0222%6 Jan →
ancient9–13-0.0116%6 Jan →
mirage13–70.0636%6 Jan →
mirage13–60.0821%6 Jan →
dust29–130.0524%6 Jan →
dust213–60.0922%6 Jan →
inferno13–60.0822%6 Jan →
nuke13–100.0717%5 Jan →
train14–160.0632%5 Jan →
nuke6–13-0.0311%3 Jan →
nuke13–30.0725%3 Jan →
nuke7–130.1128%3 Jan →
nuke13–80.0430%3 Jan →
nuke12–120.0835%3 Jan →
nuke13–110.0926%3 Jan →
nuke12–120.0623%3 Jan →
nuke13–30.0623%1 Jan →
nuke13–20.0132%1 Jan →
nuke13–40.0016%1 Jan →
nuke7–10.0940%1 Jan →
nuke13–40.0427%1 Jan →
mirage4–130.0641%1 Jan →
overpass5–130.0935%1 Jan →
inferno15–150.0518%31 Dec →
mirage3–130.0019%31 Dec →
dust213–90.0316%31 Dec →
ancient10–130.0217%31 Dec →
train12–160.0324%31 Dec →
nuke5–13-0.0221%31 Dec →
nuke13–50.0924%31 Dec →
ancient13–110.0423%31 Dec →
mirage13–20.1620%31 Dec →
dust213–100.0115%31 Dec →
nuke13–60.2427%31 Dec →
mirage13–100.0419%31 Dec →
nuke13–90.0931%30 Dec →
nuke13–20.1435%30 Dec →
nuke13–80.1726%30 Dec →
nuke10–130.0330%30 Dec →
mirage3–13-0.0522%11 Dec →
ancient15–15-0.0328%11 Dec →
mirage13–70.1535%10 Dec →
nuke13–100.0119%10 Dec →
nuke13–70.0922%10 Dec →
inferno13–50.1417%10 Dec →
mirage7–6-0.0325%3 Dec →
nuke7–130.0316%3 Dec →
train13–100.0221%27 Nov →
train4–13-0.1121%8 Nov →
dust215–150.0318%8 Nov →
mirage13–30.1327%8 Nov →
inferno13–50.2219%8 Nov →
mirage13–20.1519%8 Nov →
nuke8–13-0.0316%22 Oct →
mirage3–13-0.0419%3 Oct →
inferno13–11-0.0438%2 Oct →
nuke14–16-0.005%30 Sept →

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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