Mace

Mace — CS2 Stats

76561197983385398[U:1:23119670]Steam profile ↗✓ No bans

1,795Tracked matches43%Win rate2020Tracked since
CSDB Rating5.0 DevelopingSupport
FaceitLevel 9 · 1,965 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,965 → 1,965
+15Tracked matches · now 1,795
0.0ppWin rate · 43.3% → 43.3%

Rating over time

Premier CS Rating: 22,165 +4,651 31 Mar – 30 May · 14 days played
17,43222,165peak 22,16531 Mar30 May
22,165Peak Premier in tracked matches
1,965Highest Faceit ELO seen on CSDB
38Days played since 2026-03-18

Faceit ELO

  • At peak — 1,965
  • Next: Level 10 at 2,001 — 36 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-22
  • Level 8 first seen 2026-09-22

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.

Share this profile

CSDB.GGMaceFACEITLevel 9 · 1,965 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,965csdb.gg/stats

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Performance scores

Aim63
Positioning52
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateLLLWWLLWWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −3.6pp headshot accuracy · +11ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 583ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 554ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 548ms

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 (+1.8 against its own average).

Aim6.3
Utility6.8
Positioning5.2
Opening Duels3.7
Clutch4.2

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

jL

Plays most like jL 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 576ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim6.3
Positioning5.2
Utility6.8
Mechanics4.1
Opening Duels3.7
Win Impact2.8

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.07
first ⅓ avg 0.06 → last ⅓ avg -0.01
Reaction time568ms−32ms
first ⅓ avg 600ms → last ⅓ avg 568ms
Headshot accuracy18.6%−4.2%
first ⅓ avg 22.8% → last ⅓ avg 18.6%

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.

Personal bests

0.31Best match rating · 9–1 · inferno, 18 Apr →
39%Best headshot accuracy · 9–3 · inferno, 7 Apr →
406msFastest reaction time · 13–9 · dust2, 23 Aug →
13–1Biggest win · inferno, 31 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
8–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 83% over 6cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB4020–2050%0.02
dust2A2817–1161%0.02
ancientD72–529%0.02
nukeB63–350%-0.00
overpassS65–183%0.03
cacheD50–50%-0.05
anubis—41–325%0.03
mirage—40–40%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

891Matches
52%Win rate
1.34Avg K/D
83.0ADR
40%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust29357%1.2417.0
Inferno6757%1.3517.7
Ancient5147%1.1816.3
Anubis4349%1.2818.4
Nuke3757%1.6416.9
Mirage1850%1.0915.9
Overpass1267%1.1118.9
Cache1030%0.8314.0

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.

18.8%Headshot accuracy
34.9%Accuracy (enemy spotted)
40.1%Spray accuracy
68.3%Counter-strafing
10.7°Preaim
576msReaction time
38.2%T opening success
51.2%CT opening success
0.61Enemies flashed / flash
11.3%Flash assists
9.75HE damage / grenade
10.65Flashes / 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

    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 38.1858% — below the 40% mark we flag

Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis7–130.0123%22 Sept →
dust26–130.038%15 Sept →
ancient1–13-0.0412%8 Sept →
dust213–100.0421%8 Sept →
dust216–140.0420%6 Sept →
cache19–22-0.0523%1 Sept →
dust214–16-0.0418%1 Sept →
dust213–10-0.037%29 Aug →
dust213–90.0118%23 Aug →
inferno1–8-0.0813%11 Aug →
mirage11–13-0.0311%8 Aug →
cache9–130.0211%5 Aug →
dust25–13-0.0014%4 Aug →
inferno9–5-0.0328%26 Jul →
inferno5–9-0.0118%26 Jul →
inferno9–10.1414%26 Jul →
inferno4–9-0.0731%26 Jul →
inferno8–8-0.0719%26 Jul →
dust213–60.0228%26 Jul →
ancient13–9-0.0426%26 Jul →
dust215–190.0120%21 Jul →
dust213–110.0429%17 Jul →
dust214–16-0.0112%14 Jul →
anubis5–13-0.018%14 Jul →
inferno3–13-0.0017%11 Jul →
ancient10–130.0024%11 Jul →
nuke8–2-0.0221%11 Jul →
inferno10–13-0.0221%7 Jul →
nuke3–13-0.077%7 Jul →
dust213–6-0.0021%23 Jun →
overpass16–140.0125%16 Jun →
dust28–13-0.0524%14 Jun →
dust213–9-0.0524%30 May →
inferno13–50.0520%30 May →
dust213–30.0628%22 May →
cache7–13-0.0710%12 May →
dust29–130.0231%12 May →
nuke13–160.0330%8 May →
inferno16–130.0124%8 May →
anubis13–50.0725%8 May →
inferno13–70.0422%8 May →
cache3–13-0.0324%28 Apr →
cache2–7-0.100%28 Apr →
inferno8–8-0.0216%28 Apr →
inferno1–9-0.2527%28 Apr →
dust213–9-0.0318%28 Apr →
ancient14–16-0.0015%28 Apr →
dust28–13-0.0315%21 Apr →
inferno4–9-0.0714%21 Apr →
inferno8–80.0616%21 Apr →
inferno7–9-0.0231%21 Apr →
inferno8–8-0.1011%21 Apr →
overpass13–60.0020%18 Apr →
ancient13–40.1720%18 Apr →
inferno8–80.017%18 Apr →
inferno9–50.2225%18 Apr →
inferno7–9-0.0919%18 Apr →
inferno5–9-0.1113%18 Apr →
inferno9–6-0.0412%18 Apr →
inferno9–10.3126%18 Apr →
inferno9–7-0.0015%14 Apr →
inferno5–90.0119%14 Apr →
dust27–13-0.0311%14 Apr →
inferno13–90.0018%14 Apr →
anubis7–130.0530%14 Apr →
dust26–13-0.0711%14 Apr →
overpass7–130.0422%14 Apr →
dust213–100.1115%14 Apr →
inferno1–13-0.0326%14 Apr →
dust213–100.0215%12 Apr →
inferno13–40.1316%12 Apr →
nuke13–40.0714%12 Apr →
mirage2–13-0.0418%12 Apr →
dust213–110.1024%10 Apr →
nuke13–20.0223%10 Apr →
inferno9–60.1023%7 Apr →
inferno6–9-0.0621%7 Apr →
inferno4–90.0735%7 Apr →
inferno9–30.1339%7 Apr →
inferno9–40.1522%7 Apr →
inferno9–70.0738%7 Apr →
inferno9–60.1622%7 Apr →
inferno13–90.0613%7 Apr →
dust213–80.1217%7 Apr →
nuke10–13-0.0326%7 Apr →
dust213–30.0320%7 Apr →
overpass13–70.0322%6 Apr →
mirage9–130.0420%5 Apr →
ancient10–130.0622%3 Apr →
mirage11–130.0532%3 Apr →
dust213–110.0924%3 Apr →
overpass16–13-0.0214%31 Mar →
dust213–50.0933%31 Mar →
inferno13–10.1335%31 Mar →
overpass13–90.1315%31 Mar →
inferno9–30.0921%25 Mar →
inferno8–80.0223%24 Mar →
dust210–130.0433%24 Mar →
ancient1–13-0.0519%18 Mar →
inferno13–11-0.0115%18 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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