mb_x22

mb_x22 — CS2 Stats

JP76561198201493718[U:1:241227990]Steam profile ↗✓ No bans

701Tracked matches55%Win rate2020Tracked since
6,318Hours in CS
CSDB Rating5.7 SolidPositional Player
CSDB Leaderboard#1729 of 259896 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 28,749 +4,416 16 Nov – 30 Jun · 19 days played
23,05429,710peak 29,71016 Nov30 Jun
29,760Peak Premier in tracked matches
35Days played since 2025-11-16

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate51.3%50.9%
Shot accuracy17.1%13.7%
Kill/death ratio0.971.09
Match win rate51.5%48.4%

Share this profile

CSDB.GGmb_x22FACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning60
Utility58

0–100 skill scores via Leetify.

Recent form

HOT56–43–1Last 10056%Win rateWLWWLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +0.9pp headshot accuracy · +39ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 550ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 604ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 584ms

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 (+2.1 against its own average).

Aim6.8
Utility5.8
Positioning6.0
Opening Duels1.8
Clutch2.0

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

iM

Plays most like iM 84% 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

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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
Positioning6.0
Utility5.8
Mechanics5.3
Opening Duels1.5
Win Impact6.7

Composite 5.7/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time582ms−46ms
first ⅓ avg 628ms → last ⅓ avg 582ms
Headshot accuracy19.2%−0.6%
first ⅓ avg 19.8% → last ⅓ avg 19.2%

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

0.18Best match rating · 13–1 · ancient, 19 Apr →
43%Best headshot accuracy · 9–13 · anubis, 3 Feb →
422msFastest reaction time · 3–13 · nuke, 21 May →
13–0Biggest win · anubis, 21 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 73% over 11overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS2618–869%0.02
ancientA2213–959%0.02
dust2C177–1041%0.02
nukeS118–373%0.03
mirageS96–367%0.02
overpassD51–420%-0.01
anubis—42–250%0.03
vertigo—20–20%-0.03
train—21–150%0.08
cache—10–10%0.00
rooftop—10–10%-0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,211Lifetime kills
0.97K/D
2,232Matches
51.5%Match win rate · Top 25% of Level 10 players
51.3%Headshot % · Top 50% of Level 10 players
17.1%Shot accuracy · Top 25% of Level 10 players
7,044MVPs
6,318Hours (in match)
1,859Bombs planted
661Bombs defused

Most-used weapons

Lifetime map wins

6,057inferno
2,663dust2
1,594vertigo
1,312train
1,307nuke
935cbble
47aztec
43office

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

Faceit stats

Combat

416Matches
55%Win rate
1.25Avg K/D
87.2ADR
38%Headshot %

Clutches & streaks

30%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1765%1.4616.8
Ancient1127%1.0517.4
Nuke1060%1.3616.0
Mirage633%0.8112.0
Vertigo650%1.2318.0
Cache475%1.2814.8
Anubis367%1.5722.0
Dust22100%1.2018.5

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
35.1%Accuracy (enemy spotted)
37.8%Spray accuracy
74.0%Counter-strafing
10.1°Preaim
588msReaction time
23.1%T opening success
41.6%CT opening success
0.64Enemies flashed / flash
8.0%Flash assists
7.51HE damage / grenade
9.30Flashes / 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 23.1497% — below the 40% mark we flag

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–40.1522%22 Oct →
vertigo5–13-0.0522%23 Sept →
inferno13–60.0624%23 Sept →
dust213–10.1422%23 Sept →
dust29–13-0.0016%23 Sept →
anubis9–13-0.0722%23 Sept →
anubis13–70.0520%31 Aug →
inferno13–1-0.0222%31 Aug →
ancient13–30.0613%6 Aug →
mirage13–60.0526%6 Aug →
ancient13–50.0511%6 Aug →
mirage13–10-0.0715%30 Jun →
ancient9–13-0.0218%30 Jun →
inferno13–40.0833%26 May →
mirage13–90.0215%26 May →
ancient9–13-0.0220%26 May →
ancient5–130.0124%26 May →
inferno4–130.0111%26 May →
ancient13–90.0523%26 May →
nuke3–13-0.0329%21 May →
cache6–130.0013%16 May →
mirage4–130.0618%16 May →
ancient13–8-0.0311%13 May →
ancient16–14-0.0228%13 May →
inferno13–50.0615%13 May →
inferno15–150.0326%13 May →
ancient11–13-0.0018%13 May →
dust28–130.0120%13 May →
mirage7–130.0213%13 May →
inferno13–6-0.0417%13 May →
dust210–13-0.0119%12 May →
ancient13–80.0013%12 May →
ancient11–13-0.0513%12 May →
inferno13–50.0824%12 May →
inferno6–13-0.0219%12 May →
nuke13–50.0615%12 May →
inferno13–110.0219%19 Apr →
inferno13–110.0220%19 Apr →
nuke13–80.0312%19 Apr →
ancient13–10.1817%19 Apr →
dust26–130.0711%12 Apr →
inferno16–140.0511%9 Apr →
mirage13–4-0.0316%8 Apr →
dust213–40.1023%8 Apr →
inferno5–13-0.0735%9 Mar →
overpass6–13-0.059%25 Feb →
dust23–13-0.0312%25 Feb →
nuke13–110.0221%25 Feb →
ancient13–50.0519%25 Feb →
inferno5–130.0135%25 Feb →
inferno11–13-0.0238%25 Feb →
dust213–80.0621%25 Feb →
vertigo3–9-0.0123%9 Feb →
inferno13–5-0.0127%3 Feb →
anubis9–130.0443%3 Feb →
ancient16–13-0.0520%2 Feb →
inferno13–50.1020%2 Feb →
nuke13–100.0232%2 Feb →
ancient13–90.0315%29 Jan →
train10–13-0.0013%29 Jan →
dust24–13-0.0322%29 Jan →
nuke13–11-0.0019%28 Jan →
dust213–40.0532%28 Jan →
overpass13–30.0734%28 Jan →
ancient13–8-0.0117%28 Jan →
inferno13–110.0220%28 Jan →
dust213–60.0134%28 Jan →
dust211–130.0115%27 Jan →
mirage13–70.0432%27 Jan →
inferno13–7-0.0216%27 Jan →
ancient13–11-0.0317%25 Jan →
inferno13–110.0827%25 Jan →
mirage13–16-0.0218%25 Jan →
ancient13–20.1210%21 Jan →
overpass6–13-0.0710%21 Jan →
anubis13–00.0819%21 Jan →
dust213–60.0619%21 Jan →
inferno13–100.0927%19 Jan →
inferno9–13-0.0313%19 Jan →
nuke5–13-0.0718%19 Jan →
dust213–110.0222%15 Jan →
inferno13–7-0.0419%15 Jan →
inferno5–13-0.0128%15 Jan →
ancient4–13-0.0514%13 Jan →
dust214–16-0.0215%13 Jan →
overpass8–130.0116%13 Jan →
inferno13–40.0742%20 Dec →
dust25–13-0.0429%18 Dec →
overpass4–130.0021%18 Dec →
mirage13–110.0718%13 Dec →
nuke13–90.0917%12 Dec →
ancient7–130.0218%12 Dec →
rooftop4–9-0.0117%10 Dec →
ancient7–130.0313%8 Dec →
dust24–13-0.0817%8 Dec →
nuke11–130.0218%8 Dec →
inferno13–80.0126%19 Nov →
nuke13–60.0629%19 Nov →
ancient10–130.0119%19 Nov →
train13–20.1615%16 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.