MASA

MASA — CS2 Stats

FI76561197960572136[U:1:306408]Steam profile ↗✓ No bans

594Tracked matches43%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating19,758Top 50% of 213,211 CSDB-tracked playersPurple band · top ~9.5% of ranked players (population est.)
CSDB Leaderboard#89704 of 259897 tracked
FaceitLevel 7 · 1,403 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,758 +1,192 17 Jul – 30 Oct · 18 days played
17,43619,999peak 19,99917 Jul30 Oct
19,999Peak Premier in tracked matches
1,403Highest Faceit ELO seen on CSDB
25Days played since 2026-07-17

Faceit ELO

  • At peak — 1,403
  • Next: Level 8 at 1,531 — 128 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-30
  • Level 6 first seen 2026-08-30

Premier CS Rating

  • 241 below peak (19,999)
  • -124 over 30 days · steady
  • +1,175 over 90 days
  • Next: Pink band at 20,000 — 242 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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.GGMASAFACEITLevel 7 · 1,403 ELOSTANDINGTop 42.3% of rankedPREMIER19,758 · Purple bandPEAK ELO1,403csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim66
Positioning49
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWLLLWWWLLW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −5.9pp headshot accuracy · +45ms 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 -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 638ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 633ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 610ms

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 against its own average).

Aim6.6
Utility6.2
Positioning4.9
Opening Duels0.3
Clutch5.6

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

iM

Plays most like iM 73% 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. 619ms 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

Aim6.6
Positioning4.9
Utility6.2
Mechanics6.0
Opening Duels1.3
Win Impact2.8

Composite 5.2/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time608ms−48ms
first ⅓ avg 656ms → last ⅓ avg 608ms
Headshot accuracy20.0%+2.3%
first ⅓ avg 17.6% → last ⅓ avg 20.0%

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

0.10Best match rating · 13–4 · inferno, 22 Aug →
43%Best headshot accuracy · 2–11 · inferno, 18 Sept →
344msFastest reaction time · 2–11 · inferno, 18 Sept →
12–0Biggest win · anubis, 2 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 63% over 19mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%-0.03
cacheA1912–763%-0.01
mirageC145–936%-0.03
nukeC135–838%-0.04
ancientC104–640%-0.02
infernoB105–550%-0.02
anubisA95–456%-0.02
train—21–150%0.01
italy—10–10%-0.08
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

227Matches
49%Win rate
1.13Avg K/D
67.5ADR
42%Headshot %

Clutches & streaks

48%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient838%0.7911.6
Dust2743%0.6410.0
Nuke667%0.8213.5
Mirage425%0.7815.5
Anubis20%0.6915.5
Train250%1.1415.5
Inferno10%0.8713.0
Overpass10%0.538.0

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.

19.7%Headshot accuracy
33.7%Accuracy (enemy spotted)
40.6%Spray accuracy
77.1%Counter-strafing
10.7°Preaim
619msReaction time
33.7%T opening success
36.6%CT opening success
0.63Enemies flashed / flash
4.9%Flash assists
10.48HE damage / grenade
7.26Flashes / 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 33.7197% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0515%30 Oct →
cache4–13-0.0710%30 Oct →
cache7–13-0.0523%23 Oct →
ancient7–130.0023%23 Oct →
dust213–110.0422%23 Oct →
nuke16–12-0.0015%23 Oct →
dust213–3-0.0224%23 Oct →
italy5–13-0.089%16 Oct →
dust21–13-0.0113%16 Oct →
anubis12–00.1014%2 Oct →
mirage8–13-0.0010%25 Sept →
nuke13–11-0.0325%25 Sept →
nuke0–13-0.0725%25 Sept →
mirage13–9-0.0024%25 Sept →
inferno2–11-0.0643%18 Sept →
nuke7–13-0.0728%18 Sept →
dust213–11-0.0322%18 Sept →
dust25–13-0.0323%17 Sept →
cache6–0-0.030%17 Sept →
nuke7–0-0.0329%17 Sept →
ancient13–80.0121%11 Sept →
nuke9–13-0.0718%11 Sept →
dust24–13-0.0722%11 Sept →
ancient13–9-0.0419%11 Sept →
inferno9–13-0.0519%11 Sept →
nuke11–13-0.0515%11 Sept →
anubis13–6-0.0214%9 Sept →
dust210–13-0.0925%5 Sept →
nuke7–13-0.0624%29 Aug →
mirage7–13-0.0523%29 Aug →
cache13–7-0.0317%29 Aug →
inferno13–8-0.0821%29 Aug →
mirage13–5-0.0624%28 Aug →
cache13–9-0.0028%25 Aug →
cache13–11-0.0220%25 Aug →
ancient5–13-0.0519%22 Aug →
anubis13–9-0.0215%22 Aug →
dust213–11-0.0114%22 Aug →
mirage10–13-0.0614%22 Aug →
inferno13–40.1020%22 Aug →
anubis4–13-0.108%22 Aug →
mirage11–130.0412%22 Aug →
dust213–5-0.0215%22 Aug →
train13–60.0623%22 Aug →
cache13–5-0.0212%22 Aug →
anubis6–13-0.0721%21 Aug →
dust211–13-0.0436%21 Aug →
cache13–40.0335%21 Aug →
inferno13–9-0.0532%21 Aug →
overpass13–3-0.0136%21 Aug →
mirage14–160.0220%21 Aug →
inferno13–60.0420%20 Aug →
dust23–13-0.0524%20 Aug →
dust29–13-0.0813%14 Aug →
train11–13-0.0322%14 Aug →
nuke7–13-0.0922%14 Aug →
dust213–90.0321%8 Aug →
cache1–13-0.0121%8 Aug →
mirage6–13-0.0720%8 Aug →
dust216–13-0.0416%8 Aug →
inferno10–130.0213%8 Aug →
mirage13–7-0.0316%8 Aug →
anubis13–8-0.0311%8 Aug →
inferno12–12-0.0522%8 Aug →
ancient0–9-0.0231%8 Aug →
mirage13–80.0327%8 Aug →
anubis9–13-0.0813%8 Aug →
cache11–13-0.0722%8 Aug →
ancient4–130.0122%31 Jul →
mirage13–11-0.017%31 Jul →
cache10–13-0.0119%31 Jul →
ancient16–14-0.0214%31 Jul →
dust20–13-0.110%31 Jul →
cache10–13-0.0521%29 Jul →
dust213–7-0.077%29 Jul →
inferno6–13-0.0727%29 Jul →
nuke15–15-0.0431%22 Jul →
mirage3–13-0.106%22 Jul →
cache13–70.0216%22 Jul →
dust29–13-0.0525%22 Jul →
nuke13–90.0113%22 Jul →
anubis6–13-0.0430%22 Jul →
cache13–90.0122%22 Jul →
ancient10–13-0.0414%22 Jul →
cache13–90.0321%21 Jul →
cache13–60.0114%21 Jul →
ancient7–13-0.0427%21 Jul →
dust29–130.0721%21 Jul →
cache5–13-0.0313%21 Jul →
nuke13–70.0519%21 Jul →
inferno13–110.0316%21 Jul →
mirage6–13-0.1124%21 Jul →
mirage11–130.0310%21 Jul →
cache13–3-0.0318%20 Jul →
dust213–5-0.0326%20 Jul →
dust213–11-0.0225%18 Jul →
cache13–70.0512%18 Jul →
dust28–13-0.069%18 Jul →
ancient13–8-0.0414%17 Jul →
nuke9–13-0.0320%17 Jul →

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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