MA7DA

MA7DA — CS2 Stats

76561197988523455[U:1:28257727]Steam profile ↗✓ No bans

2,013Tracked matches57%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

+32Tracked matches · now 2,013
+3.3ppWin rate · 53.3% → 56.7%

Rating over time

Faceit ELO: 2,235 +0 30 Aug – 3 Sept · 2 observations
2,2352,235peak 2,23530 Aug3 Sept
2,235Highest Faceit ELO seen on CSDB
40Days played since 2026-06-08

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.

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CSDB.GGMA7DAPEAK ELO2,235csdb.gg/stats

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Performance scores

Aim73
Positioning67
Utility77

0–100 skill scores via Leetify.

Recent form

HOT54–46Last 10054%Win rateLWLLWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · −5.3pp headshot accuracy · −26ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 506ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 511ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 524ms

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 (+2.1 against its own average).

Aim7.3
Utility7.7
Positioning6.7
Opening Duels5.2
Clutch3.0

High utility contribution

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 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Counter-strafing. Only 69% 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

Aim7.3
Positioning6.7
Utility7.7
Mechanics4.2
Opening Duels6.8
Win Impact7.2

Composite 6.7/10 (Solid), 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 rating0.03+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time528ms−60ms
first ⅓ avg 588ms → last ⅓ avg 528ms
Headshot accuracy18.9%−0.7%
first ⅓ avg 19.6% → last ⅓ avg 18.9%

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

0.20Best match rating · 13–4 · ancient, 8 Aug →
42%Best headshot accuracy · 13–7 · inferno, 20 Aug →
344msFastest reaction time · 3–13 · ancient, 31 Aug →
13–1Biggest win · ancient, 8 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–12In matches decided by ≤2 rounds
19Overtime games

Map breakdown

vertigoBest map · 65% over 17ancientWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
dust2A3218–1456%0.02
ancientC218–1338%0.04
vertigoS1711–665%0.03
infernoB84–450%0.06
anubisB63–350%0.02
mirageB63–350%-0.00
nukeA53–260%0.03
cache—21–150%0.01
overpass—22–0100%0.04
tuscan_d—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

730Matches
53%Win rate
1.21Avg K/D
81.3ADR
41%Headshot %

Clutches & streaks

35%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust27358%1.2117.0
Ancient6461%1.3718.8
Inferno5157%1.2017.2
Anubis4245%1.1717.0
Mirage3030%1.0115.5
Vertigo2850%1.4721.5
Nuke1958%1.2217.8
Overpass1258%1.0312.4

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.

19.3%Headshot accuracy
35.9%Accuracy (enemy spotted)
41.6%Spray accuracy
68.7%Counter-strafing
10.3°Preaim
521msReaction time
58.3%T opening success
56.3%CT opening success
0.59Enemies flashed / flash
11.1%Flash assists
12.01HE damage / grenade
21.09Flashes / match

Recommended for you

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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust217–190.0516%27 Oct →
vertigo13–100.0710%27 Oct →
dust27–13-0.0416%27 Oct →
ancient14–160.0422%27 Oct →
anubis13–90.0919%26 Oct →
inferno13–40.0618%26 Oct →
ancient13–70.0910%24 Oct →
dust216–130.0017%24 Oct →
vertigo16–130.0228%18 Oct →
tuscan_d16–130.0112%18 Oct →
inferno9–130.0424%17 Oct →
mirage5–13-0.0630%17 Oct →
ancient6–13-0.0123%14 Oct →
nuke10–13-0.0123%14 Oct →
dust26–13-0.0422%13 Oct →
ancient13–40.0419%13 Oct →
mirage13–10-0.0231%12 Oct →
ancient9–13-0.0116%12 Oct →
mirage13–4-0.0219%10 Oct →
inferno13–80.1014%10 Oct →
cache13–40.0214%10 Oct →
vertigo13–160.0519%9 Oct →
ancient13–100.0620%9 Oct →
dust213–10-0.0116%9 Oct →
dust214–160.1022%9 Oct →
mirage16–140.0522%9 Oct →
ancient16–140.0819%9 Oct →
inferno10–130.0220%8 Oct →
anubis19–16-0.0212%8 Oct →
cache14–16-0.0126%27 Sept →
nuke13–70.0914%26 Sept →
dust216–190.0118%22 Sept →
nuke13–80.0614%21 Sept →
vertigo13–110.0013%3 Sept →
dust213–80.0127%3 Sept →
ancient8–13-0.0213%3 Sept →
dust213–90.0416%1 Sept →
ancient3–13-0.0116%31 Aug →
anubis13–30.0216%31 Aug →
inferno8–130.0532%31 Aug →
dust28–130.0122%20 Aug →
inferno13–70.1242%20 Aug →
dust25–13-0.0220%17 Aug →
dust28–13-0.0121%17 Aug →
mirage8–130.0314%8 Aug →
ancient13–10.1028%8 Aug →
vertigo13–2-0.095%8 Aug →
ancient13–40.2013%8 Aug →
inferno13–80.0816%8 Aug →
vertigo11–13-0.0218%8 Aug →
anubis11–130.0114%8 Aug →
dust213–110.0626%7 Aug →
overpass13–10.0713%7 Aug →
vertigo13–60.0222%7 Aug →
ancient13–20.0919%7 Aug →
anubis7–13-0.0118%7 Aug →
mirage7–130.0223%7 Aug →
dust29–130.0524%7 Aug →
dust216–14-0.0122%31 Jul →
vertigo14–160.0310%31 Jul →
dust213–90.0627%31 Jul →
ancient6–13-0.016%29 Jul →
vertigo13–110.0214%29 Jul →
dust29–13-0.0123%29 Jul →
dust219–160.0918%28 Jul →
dust216–140.0116%28 Jul →
dust213–11-0.0321%22 Jul →
vertigo13–110.0019%22 Jul →
dust211–13-0.0218%16 Jul →
vertigo13–70.0310%16 Jul →
vertigo20–220.0318%13 Jul →
dust213–50.0422%13 Jul →
dust213–50.0414%12 Jul →
ancient7–13-0.0118%12 Jul →
ancient4–130.0537%7 Jul →
dust213–70.0115%7 Jul →
vertigo13–50.0826%6 Jul →
ancient4–130.0323%6 Jul →
dust213–80.0218%6 Jul →
dust25–13-0.0616%1 Jul →
dust213–16-0.0227%1 Jul →
nuke13–90.0422%30 Jun →
ancient3–130.0414%30 Jun →
dust210–130.0516%29 Jun →
ancient7–13-0.0023%29 Jun →
vertigo2–130.0427%29 Jun →
ancient14–16-0.0316%28 Jun →
dust213–100.0929%28 Jun →
overpass13–40.0121%28 Jun →
vertigo11–130.0510%24 Jun →
dust213–11-0.0310%24 Jun →
vertigo13–60.1115%22 Jun →
ancient13–60.0813%22 Jun →
dust213–60.1117%22 Jun →
dust213–50.0730%15 Jun →
nuke3–13-0.0528%15 Jun →
inferno11–13-0.0019%10 Jun →
ancient3–130.0328%10 Jun →
anubis9–130.0412%8 Jun →
vertigo13–60.0316%8 Jun →

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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