McB™-

McB™- — CS2 Stats

HM76561198097822085[U:1:137556357]Steam profile ↗✓ No bans

379Tracked matches68%Win rate2021Tracked since
801Hours in CS
CSDB Rating6.2 SolidPositional Player
Premier CS Rating16,371Purple band · top ~22.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+465Premier CS Rating · 15,906 → 16,371
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 24 days played since 16 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,371 +1,249 16 Aug17 Sept · 24 days played
13,07416,371peak 16,37116 Aug17 Sept
16,424Peak Premier in tracked matches
24Days played since 2026-08-16

Premier CS Rating

  • At peak — 16,371
  • +952 over 30 days · improving
  • Next: Pink band at 20,000 3,629 to go
  • Reached: Purple band · Blue band · Light Blue band

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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=34,112), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate38.5%44.3%47.0%8.4% short
Shot accuracy17.8%11.8%13.0%above
Kill/death ratio1.011.031.080.07 short
Match win rate37.9%45.2%46.7%8.7% short

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

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

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CSDB.GGMcB™-PREMIER16,371 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning55
Utility44

0–100 skill scores via Leetify.

Recent form

HOT52426Last 10052%Win rateTWWLWWLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +3.2pp headshot accuracy · +24ms reaction

Win rate +10pp 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

  • 311 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 567ms

Last 10

  • 721 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 579ms

Last 20

  • 1352 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 567ms

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 PlayerPositioning stands above the rest of this profile (+2.2 against its own average).

Aim6.8
Utility4.4
Positioning5.5
Opening Duels3.3
Clutch0.0

Limited 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

jL

Plays most like jL 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 584ms 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

Aim6.8
Positioning5.5
Utility4.4
Mechanics6.3
Opening Duels4.7
Win Impact10.0

Composite 6.2/10 (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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time585ms+11ms
first ⅓ avg 574ms → last ⅓ avg 585ms
Headshot accuracy14.0%−0.4%
first ⅓ avg 14.4% → last ⅓ avg 14.0%

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

0.09Best match rating · 13–2 · ancient, 29 Aug
29%Best headshot accuracy · 3–13 · mirage, 27 Aug
391msFastest reaction time · 13–11 · inferno, 19 Aug
13–2Biggest win · ancient, 29 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
86In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 67% over 6anubisWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B34171750%0.00
ancientB22111150%-0.02
anubisC146843%-0.00
nukeA127558%-0.01
mirageC94544%-0.01
infernoS64267%-0.02
cache330100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,774Lifetime kills
1.01K/D
1,924Matches
37.9%Match win rate
38.5%Headshot %
17.8%Shot accuracy · Top 10% of Purple band
3,309MVPs
801Hours (in match)
2,304Bombs planted
349Bombs defused

Most-used weapons

AK-4710,555
AWP6,759
UMP-453,634
MP71,319
FAMAS1,215

Lifetime map wins

5,884dust2
2,641inferno
528nuke
379cbble
52office
35train
19shorttrain
1vertigo

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

Faceit stats

Combat

38Matches
32%Win rate
1.05Avg K/D
75.6ADR
43%Headshot %

Clutches & streaks

20%1v1 clutch win
9%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1242%1.2014.9
Dust2119%0.7913.2
Inferno667%1.4216.7
Anubis520%0.7313.0
Cache20%0.9714.0
Ancient1100%0.8214.0

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.

14.3%Headshot accuracy
36.3%Accuracy (enemy spotted)
40.9%Spray accuracy
78.5%Counter-strafing
10.3°Preaim
584msReaction time
54.5%T opening success
43.3%CT opening success
0.60Enemies flashed / flash
6.6%Flash assists
6.60HE damage / grenade
2.78Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.34% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

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

    Flashes per match 2.7759 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Anubis

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0414%17 Sept
ancient13–80.0112%17 Sept
nuke13–6-0.037%17 Sept
anubis7–13-0.0216%17 Sept
dust213–70.0527%17 Sept
dust216–130.0214%16 Sept
ancient6–13-0.0813%16 Sept
dust216–130.0124%15 Sept
dust213–90.0220%15 Sept
anubis13–10-0.0416%15 Sept
dust213–50.0211%15 Sept
cache13–11-0.0113%15 Sept
anubis15–15-0.028%14 Sept
nuke13–11-0.0211%12 Sept
anubis13–30.0512%12 Sept
dust27–13-0.0824%12 Sept
inferno13–8-0.0812%12 Sept
nuke10–13-0.034%10 Sept
anubis9–130.0215%9 Sept
dust213–9-0.0022%9 Sept
dust213–110.0111%9 Sept
dust24–13-0.0315%9 Sept
nuke13–70.0313%8 Sept
dust27–13-0.0413%8 Sept
cache13–100.0315%8 Sept
mirage13–80.0114%6 Sept
dust213–110.0413%5 Sept
ancient6–13-0.0710%5 Sept
dust211–13-0.0216%5 Sept
nuke13–80.0415%5 Sept
mirage6–13-0.0216%3 Sept
dust214–160.0110%3 Sept
anubis13–7-0.047%3 Sept
nuke8–13-0.0412%3 Sept
ancient1–13-0.0418%3 Sept
anubis5–13-0.016%3 Sept
ancient13–100.0110%3 Sept
dust213–11-0.018%3 Sept
ancient13–100.0414%2 Sept
ancient13–16-0.0313%2 Sept
inferno6–13-0.0512%2 Sept
ancient13–40.0514%2 Sept
dust213–60.0014%2 Sept
ancient9–13-0.019%1 Sept
nuke13–6-0.0211%30 Aug
anubis11–130.059%30 Aug
ancient0–13-0.126%30 Aug
ancient7–13-0.048%30 Aug
ancient8–0-0.0014%30 Aug
inferno13–100.0110%30 Aug
mirage12–12-0.0213%30 Aug
dust213–70.0115%30 Aug
ancient13–20.0916%29 Aug
inferno13–8-0.0016%29 Aug
nuke2–13-0.0412%29 Aug
anubis13–60.0016%29 Aug
dust215–150.0123%29 Aug
ancient13–3-0.0114%29 Aug
inferno9–130.0615%29 Aug
mirage13–70.049%29 Aug
ancient8–13-0.048%29 Aug
dust216–140.0014%29 Aug
dust29–13-0.0610%29 Aug
ancient13–6-0.0114%29 Aug
nuke13–10-0.0112%29 Aug
mirage3–130.0229%27 Aug
mirage13–90.0214%27 Aug
ancient8–13-0.0511%27 Aug
dust215–150.0612%27 Aug
ancient9–13-0.038%27 Aug
dust210–13-0.0413%27 Aug
mirage7–13-0.0618%27 Aug
ancient13–4-0.039%25 Aug
nuke5–130.0214%25 Aug
dust27–13-0.0111%25 Aug
anubis13–16-0.0416%25 Aug
dust213–10-0.0218%24 Aug
mirage16–130.0213%23 Aug
dust213–60.0721%23 Aug
nuke9–13-0.0213%23 Aug
ancient13–5-0.0510%23 Aug
dust211–13-0.0013%23 Aug
nuke13–90.0020%22 Aug
anubis13–10-0.0310%22 Aug
ancient11–130.0215%22 Aug
dust28–13-0.0313%22 Aug
dust213–100.0116%20 Aug
dust213–60.0514%20 Aug
dust23–13-0.0217%20 Aug
inferno13–11-0.0317%19 Aug
anubis8–130.0115%19 Aug
ancient13–7-0.0320%19 Aug
cache13–60.0416%19 Aug
anubis11–13-0.0215%19 Aug
dust27–13-0.0111%19 Aug
dust210–13-0.0312%19 Aug
dust216–140.0312%18 Aug
mirage6–13-0.0714%18 Aug
dust215–150.0425%18 Aug
anubis13–80.0313%16 Aug

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 →