MtB_

MtB_ — CS2 Stats

US76561198115488503[U:1:155222775]Steam profile ↗✓ No bans

1,862Tracked matches40%Win rate2020Tracked since
4,271Hours in CS31Hrs last 2 wks
CSDB Rating5.6 SolidSupport
FaceitLevel 8 · 1,928 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMtB_FACEITLevel 8 · 1,928 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim72
Positioning48
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY4951Last 10049%Win rateWLLWLWLLLW

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim7.2
Aggression3.2
Utility7.3
Positioning4.8
Opening Duels2.7
Clutch4.2

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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 57% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim7.2
Positioning4.8
Utility7.3
Mechanics7.6
Opening Duels3.3
Win Impact1.7

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time587ms−11ms
first ⅓ avg 598ms → last ⅓ avg 587ms
Headshot accuracy18.5%−1.9%
first ⅓ avg 20.4% → last ⅓ avg 18.5%

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.

Highlights

0.10Best rating — dust2 13–11
131Biggest win — inferno
7Longest win streak
1513In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 80% over 5nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A22121055%-0.00
infernoS1712571%0.01
anubisC146843%0.02
mirageC145936%-0.01
nukeD124833%-0.02
ancientD93633%-0.04
overpassD62433%-0.01
cacheS54180%-0.02
office110100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

136,072Lifetime kills
0.96K/D
3,243Matches
44.2%Match win rate
56.0%Headshot % · Top 25% of tracked players
14.3%Shot accuracy · Top 50% of tracked players
7,021MVPs
2,734Hours (in match)
7,398Bombs planted
1,981Bombs defused

Most-used weapons

AK-4772,865
AWP5,220
FAMAS3,287
Knife2,700
P2502,414

Lifetime map wins

9,121dust2
9,086inferno
4,155nuke
2,803train
2,022cbble
1,019vertigo
66lake
40office

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

Faceit stats

Combat

1,548Matches
50%Win rate
1.04Avg K/D
77.4ADR
50%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust224747%1.0415.8
Inferno24055%1.0815.3
Anubis22547%1.0315.1
Nuke19853%1.0715.9
Mirage13649%0.9915.2
Ancient13347%1.0215.0
Overpass8552%1.0014.7
Train5956%1.0416.7

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.

18.3%Headshot accuracy
37.0%Accuracy (enemy spotted)
37.9%Spray accuracy
84.2%Counter-strafing
11.4°Preaim
592msReaction time
25.3%T opening success
56.6%CT opening success
0.66Enemies flashed / flash
11.9%Flash assists
7.76HE damage / grenade
18.87Flashes / 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 25.3189% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–7-0.0618%17 Aug
cache10–13-0.0119%17 Aug
dust210–13-0.0925%16 Aug
inferno13–110.0019%13 Aug
anubis5–130.0112%13 Aug
dust216–14-0.0219%8 Aug
nuke11–13-0.0226%8 Aug
anubis17–19-0.0217%6 Aug
dust211–13-0.0514%29 Jul
cache16–14-0.0313%28 Jul
mirage8–13-0.0119%25 Jul
mirage2–130.0111%11 Jul
dust213–40.0125%11 Jul
mirage9–13-0.0518%11 Jul
anubis8–130.0816%10 Jul
cache13–7-0.0125%9 Jul
ancient10–13-0.0318%8 Jul
anubis6–130.0413%8 Jul
dust29–13-0.0725%6 Jul
dust213–20.0719%5 Jul
dust213–8-0.0421%5 Jul
anubis12–160.0115%5 Jul
mirage9–13-0.0227%3 Jul
ancient3–13-0.0624%3 Jul
mirage13–8-0.0423%29 Jun
dust219–17-0.0315%26 Jun
overpass6–13-0.027%15 Jun
ancient13–100.0426%14 Jun
mirage13–11-0.0211%14 Jun
dust25–130.007%14 Jun
mirage11–13-0.0423%13 Jun
anubis11–130.0215%11 Jun
inferno13–110.0622%8 Jun
inferno9–13-0.0120%5 Jun
inferno16–140.0215%29 May
anubis13–4-0.0023%29 May
inferno13–50.0221%24 May
dust24–13-0.0131%21 May
inferno13–30.0521%16 May
dust213–30.089%16 May
office13–80.0027%14 May
ancient8–13-0.0626%14 May
ancient11–13-0.0325%12 May
nuke10–130.0415%10 May
anubis7–130.0628%9 May
dust213–10-0.0310%9 May
mirage2–130.0018%9 May
cache13–100.0317%9 May
overpass13–7-0.049%9 May
inferno9–13-0.0122%7 May
dust210–13-0.0429%5 May
nuke3–13-0.1030%28 Apr
anubis13–8-0.0116%27 Apr
anubis13–10-0.0113%27 Apr
nuke7–130.0220%25 Apr
inferno13–50.0425%23 Apr
inferno13–80.0217%21 Apr
inferno13–10.0421%21 Apr
inferno13–9-0.0123%21 Apr
anubis13–110.0325%20 Apr
nuke16–14-0.0317%19 Apr
mirage9–13-0.0517%19 Apr
anubis11–13-0.065%15 Apr
inferno7–13-0.0016%14 Apr
nuke13–60.0337%14 Apr
dust26–13-0.0723%13 Apr
ancient13–7-0.0416%11 Apr
dust25–130.0120%10 Apr
dust213–110.1029%9 Apr
nuke11–13-0.0914%9 Apr
nuke2–13-0.0420%6 Apr
nuke10–130.0226%30 Mar
mirage13–100.0310%29 Mar
overpass10–13-0.039%28 Mar
mirage11–130.0221%24 Mar
dust211–130.0436%23 Mar
overpass6–130.0031%22 Mar
inferno9–13-0.0716%22 Mar
dust220–220.0824%21 Mar
inferno13–60.0115%21 Mar
overpass11–130.0126%21 Mar
ancient13–9-0.0211%15 Mar
mirage8–60.0312%15 Mar
nuke0–10-0.0314%15 Mar
nuke13–110.0420%15 Mar
dust213–60.0216%15 Mar
inferno13–110.0111%15 Mar
inferno5–13-0.0243%15 Mar
ancient10–13-0.0415%15 Mar
dust213–6-0.0314%7 Mar
anubis13–60.0731%2 Mar
mirage16–12-0.0019%2 Mar
nuke13–4-0.0136%26 Feb
inferno13–11-0.0618%19 Feb
anubis13–10.0213%19 Feb
overpass13–90.0124%17 Feb
mirage11–130.0219%10 Feb
dust213–11-0.0226%8 Feb
ancient2–13-0.1214%7 Feb
dust213–80.0122%7 Feb

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 →