⑩✓MR VAC

⑩✓MR VAC — CS2 Stats

76561199213915263[U:1:1253649535]Steam profile ↗✓ No bans

318Tracked matches52%Win rate2025Tracked since
860Hours in CS
CSDB Rating6.3 SolidPositional Player
Premier CS Rating28,628Top 5% of 215,386 CSDB-tracked playersRed band · top ~1.3% of ranked players (population est.)
CSDB Leaderboard#2061 of 261569 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (26 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: 28,628 +2,518 20 Jul – 19 Oct · 14 days played
26,11030,810peak 30,81020 Jul19 Oct
31,248Peak Premier in tracked matches
33Days played since 2026-07-19

Premier CS Rating

  • 2,182 below peak (30,810)
  • -1,266 over 30 days · declining
  • +2,518 over 90 days
  • Next: Gold band at 30,000 — 1,372 to go
  • Reached: Gold band · Red band · Pink band · Purple band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate49.5%43.8%44.8%above
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio1.071.021.03above
Match win rate45.1%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG⑩✓MR VACFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER28,628 · Red bandcsdb.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

Aim75
Positioning59
Utility50

0–100 skill scores via Leetify.

Recent form

COLD54–40–6Last 10054%Win rateLLWWLLWLLT

Last 10 vs previous 10: −30pp win rate · −0.09 avg rating · −1.2pp headshot accuracy · +86ms reaction

Win rate down 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 21%
  • Avg reaction 598ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 573ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 530ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim7.5
Utility5.0
Positioning5.9
Opening Duels1.7
Clutch3.6

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 93% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim7.5
Positioning5.9
Utility5.0
Mechanics6.0
Opening Duels3.7
Win Impact5.6

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time487ms+82ms
first ⅓ avg 405ms → last ⅓ avg 487ms
Headshot accuracy21.3%+3.2%
first ⅓ avg 18.1% → last ⅓ avg 21.3%

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

0.30Best match rating · 13–9 · nuke, 26 Jul →
63%Best headshot accuracy · 13–0 · anubis, 13 Sept →
172msFastest reaction time · 5–13 · mirage, 13 Sept →
13–0Biggest win · anubis, 13 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 75% over 12infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA3019–1163%0.05
dust2C2912–1741%0.03
infernoC145–936%-0.03
nukeS129–375%0.08
cache—43–175%-0.03
vertigo—42–250%0.07
anubis—42–250%0.00
ancient—32–167%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,399Lifetime kills
1.07K/D · Top 50% of Level 5 players
2,325Matches
45.1%Match win rate · Top 50% of Level 5 players
49.5%Headshot % · Top 25% of Level 5 players
0.0%Shot accuracy
5,399MVPs
860Hours (in match)
1,181Bombs planted
759Bombs defused

Most-used weapons

AK-4712,868
AWP4,877
SSG 082,381
MP91,095
Knife657

Lifetime map wins

5,483dust2
2,306inferno
2,092nuke
196train
172vertigo
28office
6italy
2ar_shoots

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

Faceit stats

Combat

129Matches
51%Win rate
1.21Avg K/D
83.5ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4255%1.1316.4
Dust23944%1.3417.4
Nuke1953%1.2316.4
Anubis1450%1.0415.9
Inferno850%1.0114.8
Ancient450%1.6617.5
Cache2100%1.2418.5
Vertigo1100%1.0017.0

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.

21.6%Headshot accuracy
29.1%Accuracy (enemy spotted)
29.4%Spray accuracy
76.8%Counter-strafing
6.7°Preaim
492msReaction time
51.4%T opening success
38.3%CT opening success
0.49Enemies flashed / flash
4.9%Flash assists
9.06HE damage / grenade
10.14Flashes / 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

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

    Enemies flashed per flash 0.4869 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.279% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.047%19 Oct →
mirage7–13-0.0717%19 Oct →
inferno13–10-0.0213%19 Oct →
mirage13–9-0.0227%18 Oct →
dust26–13-0.0743%18 Oct →
dust26–13-0.0432%18 Oct →
nuke13–60.0427%18 Oct →
cache2–7-0.0415%18 Oct →
inferno9–13-0.0311%18 Oct →
dust215–15-0.0519%17 Oct →
mirage13–100.0217%17 Oct →
dust212–120.0721%17 Oct →
dust213–70.0125%12 Oct →
inferno2–9-0.0618%11 Oct →
dust25–130.0813%4 Oct →
nuke6–20.0329%4 Oct →
dust212–120.0926%28 Sept →
mirage13–60.1131%28 Sept →
dust213–80.0917%27 Sept →
vertigo13–40.1425%27 Sept →
cache13–4-0.0310%27 Sept →
dust25–13-0.0613%26 Sept →
inferno4–13-0.0617%13 Sept →
mirage12–00.1227%13 Sept →
mirage5–13-0.089%13 Sept →
mirage4–130.0626%13 Sept →
anubis13–00.0863%13 Sept →
dust213–100.0327%12 Sept →
dust24–13-0.045%11 Sept →
dust213–40.0431%11 Sept →
mirage6–2-0.030%11 Sept →
inferno4–9-0.0122%11 Sept →
nuke9–130.0623%5 Sept →
dust29–130.0724%5 Sept →
mirage2–13-0.0111%5 Sept →
inferno9–50.1622%5 Sept →
inferno3–9-0.1528%5 Sept →
inferno9–60.1229%30 Aug →
nuke9–10.1713%30 Aug →
inferno3–9-0.137%30 Aug →
mirage12–120.0215%30 Aug →
nuke13–110.1216%29 Aug →
dust213–90.1922%22 Aug →
dust20–13-0.0929%22 Aug →
dust213–10.0931%22 Aug →
nuke13–00.1124%21 Aug →
mirage2–130.1030%21 Aug →
anubis8–130.0221%21 Aug →
mirage13–90.0211%21 Aug →
inferno9–70.0817%19 Aug →
mirage13–70.0428%18 Aug →
dust211–130.0720%18 Aug →
ancient13–10.0513%16 Aug →
mirage13–100.0311%16 Aug →
mirage13–10.1913%16 Aug →
mirage11–130.0621%15 Aug →
dust212–60.0324%15 Aug →
mirage13–100.0739%12 Aug →
nuke13–50.0317%12 Aug →
anubis11–13-0.0615%8 Aug →
dust213–60.0523%8 Aug →
mirage3–10.0720%8 Aug →
nuke8–8-0.1421%7 Aug →
nuke13–90.0419%1 Aug →
vertigo5–90.0128%29 Jul →
vertigo13–20.0715%29 Jul →
mirage2–130.0320%29 Jul →
dust28–13-0.0113%27 Jul →
dust210–130.1122%27 Jul →
inferno2–9-0.1713%27 Jul →
mirage10–60.2828%26 Jul →
nuke13–90.3015%26 Jul →
nuke13–40.1014%26 Jul →
mirage0–13-0.0459%26 Jul →
dust20–13-0.040%26 Jul →
dust213–20.0522%26 Jul →
dust213–110.1126%26 Jul →
mirage13–60.1324%26 Jul →
mirage13–80.1316%25 Jul →
mirage1–13-0.110%25 Jul →
mirage5–30.0436%25 Jul →
mirage10–40.0733%25 Jul →
mirage13–60.0321%25 Jul →
dust213–90.1118%25 Jul →
mirage12–120.0411%24 Jul →
mirage13–110.0618%24 Jul →
mirage13–70.0520%24 Jul →
nuke2–130.0512%22 Jul →
inferno11–13-0.0423%22 Jul →
cache13–0-0.0417%20 Jul →
anubis13–6-0.0512%20 Jul →
inferno2–9-0.1930%20 Jul →
dust26–130.0516%20 Jul →
cache13–00.000%20 Jul →
ancient13–00.000%20 Jul →
dust28–2-0.100%20 Jul →
ancient8–13-0.0212%20 Jul →
inferno9–60.0116%19 Jul →
vertigo7–90.0533%19 Jul →
dust211–130.1020%19 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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