MasoN-

MasoN- — CS2 Stats

KP76561198070749668[U:1:110483940]Steam profile ↗✓ No bans

1,064Tracked matches60%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
FaceitLevel 10 · 2,243 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,243 → 2,243
+78Tracked matches · now 1,064
+3.3ppWin rate · 56.7% → 60.0%

Rating over time

2,243Highest Faceit ELO seen on CSDB
61Days played since 2024-03-03

Faceit ELO

  • At peak — 2,243
  • Next: 2,500 ELO at 2,500 — 257 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGMasoN-FACEITLevel 10 · 2,243 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,243csdb.gg/stats

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Performance scores

Aim60
Positioning40
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWWLWWWWLLL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · −8.6pp headshot accuracy · −8ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 475ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 553ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 557ms

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 (+1.1 against its own average).

Aim6.0
Utility4.3
Positioning4.0
Opening Duels1.5
Clutch3.0

Strong T-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.

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

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 580ms 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

Aim6.0
Positioning4.0
Utility4.3
Mechanics5.6
Opening Duels0.0
Win Impact8.3

Composite 4.9/10 (Developing), 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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time599ms+15ms
first ⅓ avg 584ms → last ⅓ avg 599ms
Headshot accuracy28.8%+1.7%
first ⅓ avg 27.1% → last ⅓ avg 28.8%

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

0.15Best match rating · 13–3 · ancient, 3 Sept →
63%Best headshot accuracy · 9–3 · vertigo, 22 Jul →
406msFastest reaction time · 13–11 · ancient, 7 Aug →
13–3Biggest win · vertigo, 11 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
17–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 67% over 9dust2Weakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC259–1636%-0.03
ancientA2213–959%-0.02
mirageA2011–955%-0.02
overpassS96–367%-0.01
anubisA74–357%-0.02
vertigoS64–267%-0.04
dust2D62–433%-0.05
nuke—41–325%-0.05
train—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,078Matches
52%Win rate
0.97Avg K/D
68.3ADR
57%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage24156%0.8813.6
Ancient14857%0.9014.1
Inferno12449%0.8513.4
Anubis11949%0.8213.3
Overpass3465%0.8913.7
Dust22339%0.7613.2
Nuke1030%0.8016.8
Train729%0.7311.4

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.

25.6%Headshot accuracy
29.6%Accuracy (enemy spotted)
32.6%Spray accuracy
75.0%Counter-strafing
11.6°Preaim
580msReaction time
28.9%T opening success
27.8%CT opening success
0.69Enemies flashed / flash
11.5%Flash assists
7.78HE damage / grenade
3.62Flashes / 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

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

    Flashes per match 3.6183 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 28.8579% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–40.0120%5 Oct →
vertigo13–30.0426%11 Sept →
mirage11–13-0.0518%11 Sept →
ancient13–30.1525%3 Sept →
ancient13–110.0122%7 Aug →
mirage16–13-0.0033%7 Aug →
inferno13–11-0.0127%17 Jul →
ancient7–13-0.0419%14 Jul →
nuke11–13-0.0125%11 Jul →
ancient7–13-0.0622%11 Jul →
mirage13–10-0.0331%3 Jul →
mirage13–11-0.0327%28 Jun →
mirage7–13-0.0824%12 Jun →
anubis8–13-0.0321%22 Feb →
inferno9–13-0.0336%22 Feb →
ancient13–5-0.0348%21 Feb →
anubis13–11-0.0717%14 Feb →
ancient6–13-0.1031%14 Feb →
inferno10–13-0.0433%3 Jan →
inferno2–9-0.0555%19 Nov →
inferno2–13-0.1215%10 Nov →
vertigo4–9-0.0456%7 Nov →
inferno5–9-0.0325%7 Nov →
inferno8–8-0.0350%7 Nov →
vertigo9–5-0.0139%1 Nov →
inferno8–8-0.1035%1 Nov →
inferno13–11-0.0026%25 Oct →
overpass13–50.0024%25 Oct →
overpass13–60.0429%19 Oct →
overpass13–10-0.0615%10 Oct →
mirage13–8-0.0128%10 Oct →
ancient9–130.0026%10 Oct →
overpass13–60.0020%13 Sept →
mirage13–7-0.0226%10 Sept →
ancient13–10-0.0231%10 Sept →
overpass9–130.0318%26 Aug →
inferno9–13-0.0830%8 Aug →
vertigo9–4-0.0960%8 Aug →
ancient5–13-0.0732%7 Aug →
ancient13–110.0034%7 Aug →
overpass13–60.0513%4 Aug →
inferno9–50.0430%2 Aug →
mirage10–130.0320%30 Jul →
ancient13–5-0.0326%30 Jul →
vertigo9–3-0.0363%22 Jul →
inferno13–70.0525%19 Jul →
mirage10–13-0.0226%19 Jul →
inferno9–5-0.0046%19 Jul →
inferno8–8-0.1133%19 Jul →
ancient11–13-0.0321%12 Jul →
mirage13–60.0620%12 Jul →
mirage9–13-0.0323%7 Jul →
dust27–13-0.0918%7 Jul →
inferno8–130.0625%7 Jul →
ancient13–110.0728%7 Jul →
inferno6–13-0.0423%6 Jul →
anubis13–11-0.0120%6 Jul →
train13–50.0420%6 Jul →
dust213–11-0.0421%6 Jul →
inferno6–9-0.0740%28 Jun →
overpass2–9-0.1716%28 Jun →
inferno5–9-0.1723%27 Jun →
overpass9–70.0530%27 Jun →
inferno9–7-0.0142%27 Jun →
overpass8–8-0.0622%27 Jun →
inferno9–30.0438%27 Jun →
vertigo7–9-0.0929%27 Jun →
nuke9–60.0142%27 Jun →
nuke8–8-0.1319%20 Jun →
mirage6–13-0.0732%19 Jun →
ancient8–13-0.0337%16 Jun →
dust24–13-0.0625%1 Jun →
ancient13–9-0.0738%1 Jun →
inferno9–70.0154%29 May →
mirage13–8-0.0428%12 May →
mirage8–13-0.0219%9 May →
anubis13–90.0430%1 May →
anubis8–13-0.0438%1 May →
mirage6–13-0.0132%28 Apr →
dust214–160.0227%27 Apr →
inferno3–13-0.0827%27 Apr →
dust213–9-0.0328%25 Apr →
ancient13–80.0224%21 Apr →
ancient8–13-0.0615%20 Apr →
ancient13–11-0.0018%19 Apr →
mirage10–130.0127%19 Apr →
inferno8–13-0.0310%18 Apr →
anubis13–110.0026%30 Mar →
nuke8–13-0.0531%29 Mar →
ancient13–9-0.0024%26 Mar →
mirage13–90.0224%16 Mar →
mirage13–11-0.0633%7 Mar →
dust211–13-0.0818%28 Feb →
mirage13–60.0335%21 Feb →
inferno5–13-0.0428%29 Dec →
inferno13–80.0223%29 Dec →
ancient4–13-0.117%29 Dec →
anubis6–13-0.0525%29 Dec →
ancient16–14-0.0630%9 Mar →
mirage13–11-0.0222%3 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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