「MD」Suicide Squad

「MD」Suicide Squad — CS2 Stats

FO76561198023775461[U:1:63509733]Steam profile ↗✓ No bans

3,416Tracked matches42%Win rate2020Tracked since
8,370Hours in CS36Hrs last 2 wks
CSDB Rating3.2 LearningSupport
Premier CS Rating6,741Light Blue band · top ~70.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (2 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: 6,741 +720 5 Sept – 26 Sept · 11 days played
6,0217,136peak 7,1365 Sept26 Sept
7,136Peak Premier in tracked matches
32Days played since 2026-08-22

Premier CS Rating

  • 395 below peak (7,136)
  • Next: Blue band at 10,000 — 3,259 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-21

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches2837−9
Win rate32%38%−6pp
K/D0.600.71−0.11
Headshot %43%43%−0pp

Measured 21 Sep 2026 → 28 Sep 2026; previous 13 Sep 2026 → 21 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,019), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate35.2%41.8%42.7%7.5% short
Shot accuracy11.3%12.2%11.3%meets
Kill/death ratio0.860.980.990.13 short
Match win rate32.0%43.3%43.9%11.9% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG「MD」Suicide SquadFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,741 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim27
Positioning39
Utility64

0–100 skill scores via Leetify.

Recent form

COLD31–61–8Last 10031%Win rateLLLTWLLLTL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · −59ms reaction

Win rate down 40pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 641ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 601ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

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 (+3.8 against its own average).

Aim2.7
Utility6.4
Positioning3.9
Opening Duels0.0
Clutch0.0

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 55% 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

CT openings. Opening success drops from 44% on T to 18% on CT — first contacts on the defending side are being lost.

Reaction time. 667ms 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

Aim2.7
Positioning3.9
Utility6.4
Mechanics3.7
Opening Duels1.8
Win Impact2.2

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time662ms+11ms
first ⅓ avg 650ms → last ⅓ avg 662ms
Headshot accuracy16.3%+1.7%
first ⅓ avg 14.5% → last ⅓ avg 16.3%

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

0.09Best match rating · 13–9 · inferno, 5 Sept →
31%Best headshot accuracy · 1–13 · inferno, 17 Sept →
375msFastest reaction time · 10–3 · nuke, 24 Sept →
13–4Biggest win · mirage, 17 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
1–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 40% over 15ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheC259–1636%-0.04
nukeC156–940%-0.03
infernoD155–1033%-0.03
vertigoD124–833%-0.03
ancientD61–517%-0.01
mirageD61–517%-0.03
anubisC52–340%-0.05
dust2D51–420%-0.03
office—30–30%-0.07
overpass—20–20%-0.04
shelter—21–150%-0.06
train—21–150%-0.01
boulder—10–10%-0.07
eldorado—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

207,671Lifetime kills
0.86K/D
12,962Matches
32.0%Match win rate
35.2%Headshot %
11.3%Shot accuracy
17,909MVPs
5,277Hours (in match)
11,820Bombs planted
2,021Bombs defused

Most-used weapons

AWP34,103
MP722,715
AK-4718,026
P9015,298
MAC-109,953
MP98,870
SSG 085,407

Lifetime map wins

19,455inferno
12,416dust2
9,644nuke
5,121cbble
4,773vertigo
4,472train
3,456office
826italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

73Matches
49%Win rate
0.80Avg K/D
56.6ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2475%0.569.3
Vertigo450%0.609.5
Inferno367%0.6713.0
Mirage333%0.6810.3
Ancient10%0.578.0

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.

16.2%Headshot accuracy
28.4%Accuracy (enemy spotted)
30.3%Spray accuracy
66.7%Counter-strafing
12.3°Preaim
667msReaction time
44.1%T opening success
17.6%CT opening success
0.47Enemies flashed / flash
4.4%Flash assists
9.92HE damage / grenade
15.99Flashes / 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 12.2578° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.471 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
office6–13-0.068%27 Sept →
cache5–13-0.0716%27 Sept →
vertigo8–13-0.0615%27 Sept →
nuke12–12-0.0412%26 Sept →
cache13–8-0.0719%26 Sept →
ancient1–13-0.0113%26 Sept →
inferno10–13-0.0416%26 Sept →
inferno4–13-0.0016%25 Sept →
cache12–12-0.0222%25 Sept →
anubis2–13-0.0911%25 Sept →
cache6–3-0.056%25 Sept →
office8–13-0.0314%24 Sept →
nuke10–3-0.0218%24 Sept →
cache10–13-0.0620%24 Sept →
inferno13–8-0.0522%24 Sept →
inferno10–13-0.059%22 Sept →
cache12–12-0.0716%22 Sept →
nuke12–12-0.0321%20 Sept →
cache13–9-0.0413%20 Sept →
anubis13–60.0126%19 Sept →
cache8–130.0024%19 Sept →
vertigo12–12-0.0716%19 Sept →
office7–13-0.1130%19 Sept →
inferno13–9-0.0512%19 Sept →
nuke3–13-0.1514%18 Sept →
cache13–7-0.0319%18 Sept →
vertigo12–12-0.018%18 Sept →
dust24–13-0.0316%18 Sept →
ancient13–60.0019%17 Sept →
nuke13–60.0711%17 Sept →
mirage13–40.0717%17 Sept →
inferno1–13-0.0331%17 Sept →
cache6–13-0.0610%16 Sept →
vertigo13–9-0.0016%16 Sept →
nuke9–130.0217%15 Sept →
dust213–100.0414%15 Sept →
cache13–4-0.0320%14 Sept →
vertigo7–130.0120%14 Sept →
cache14–16-0.0617%13 Sept →
anubis3–13-0.1214%13 Sept →
overpass8–13-0.0412%13 Sept →
mirage9–13-0.0618%12 Sept →
cache12–12-0.0610%11 Sept →
inferno12–16-0.0317%11 Sept →
shelter7–13-0.0316%10 Sept →
boulder7–13-0.0715%10 Sept →
nuke13–9-0.0325%10 Sept →
inferno13–90.0012%10 Sept →
cache9–130.0110%10 Sept →
vertigo10–13-0.049%10 Sept →
cache13–11-0.0014%10 Sept →
train9–13-0.0715%9 Sept →
vertigo13–7-0.0326%9 Sept →
cache11–13-0.0513%9 Sept →
dust24–13-0.0330%8 Sept →
inferno6–13-0.0523%7 Sept →
inferno13–70.0518%7 Sept →
inferno5–13-0.0421%5 Sept →
ancient6–13-0.049%5 Sept →
inferno13–90.0912%5 Sept →
cache13–10-0.098%5 Sept →
vertigo13–8-0.0321%5 Sept →
dust24–13-0.089%5 Sept →
vertigo5–130.0415%4 Sept →
cache2–13-0.105%4 Sept →
inferno6–13-0.0222%3 Sept →
anubis7–13-0.069%3 Sept →
cache13–10-0.0120%3 Sept →
overpass9–13-0.0412%3 Sept →
nuke9–13-0.0214%3 Sept →
train6–10.0417%3 Sept →
nuke10–130.0417%2 Sept →
mirage11–13-0.039%1 Sept →
inferno6–13-0.0822%1 Sept →
nuke13–100.0517%1 Sept →
vertigo9–13-0.0810%31 Aug →
nuke13–7-0.0510%31 Aug →
cache13–60.0415%31 Aug →
anubis13–6-0.0110%30 Aug →
cache1–13-0.1022%30 Aug →
mirage6–13-0.0315%30 Aug →
mirage9–13-0.0220%29 Aug →
cache5–13-0.0920%29 Aug →
shelter13–7-0.0819%29 Aug →
vertigo6–13-0.0511%28 Aug →
nuke5–13-0.1120%28 Aug →
cache7–13-0.0713%28 Aug →
inferno6–13-0.0818%28 Aug →
eldorado6–9-0.088%28 Aug →
nuke9–6-0.1318%28 Aug →
vertigo13–7-0.0114%27 Aug →
nuke12–12-0.0312%27 Aug →
cache11–13-0.0014%26 Aug →
ancient2–13-0.068%26 Aug →
ancient11–130.0214%25 Aug →
cache7–130.008%25 Aug →
mirage8–13-0.0911%25 Aug →
nuke8–13-0.0318%25 Aug →
ancient5–130.0210%22 Aug →
dust24–13-0.0615%22 Aug →

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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