Mrtallyman2

Mrtallyman2 — CS2 Stats

US76561198011425239[U:1:51159511]Steam profile ↗

475Tracked matches32%Win rate2023Tracked since
557Hours in CS7Hrs last 2 wks
CSDB Rating3.6 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMrtallyman2FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim37
Positioning56
Utility43

0–100 skill scores via Leetify.

Recent form

COLD33634Last 10033%Win rateLLWWWLTLLL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Aim3.7
Aggression6.2
Utility4.3
Positioning5.6
Opening Duels2.6
Clutch6.8

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 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.7
Positioning5.6
Utility4.3
Mechanics3.1
Opening Duels2.6
Win Impact0.0

Composite 3.6/10 (Learning), 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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time662ms−46ms
first ⅓ avg 708ms → last ⅓ avg 662ms
Headshot accuracy14.2%−0.4%
first ⅓ avg 14.6% → last ⅓ avg 14.2%

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.

Highlights

0.17Best rating — inferno 9–3
132Biggest win — mirage
3Longest win streak
L2Current streak
77In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 45% over 11anubisWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
ancientD2261627%-0.01
nukeC1761135%-0.01
mirageD1551033%-0.02
anubisD1331023%-0.01
infernoB115645%0.00
overpassD93633%-0.02
dust2C83538%-0.01
office32167%0.03
cache1010%-0.03
train1010%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,758Lifetime kills
0.83K/D
874Matches
37.0%Match win rate
41.9%Headshot %
0.8%Shot accuracy
1,353MVPs
326Hours (in match)
1,098Bombs planted
133Bombs defused

Most-used weapons

Lifetime map wins

1,362inferno
1,203nuke
686dust2
392vertigo
381train
126office
2ar_shoots
2safehouse

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

Faceit stats

Combat

82Matches
54%Win rate
1.00Avg K/D
69.6ADR
41%Headshot %

Clutches & streaks

54%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1872%1.0513.2
Ancient1338%1.0511.7
Nuke1354%1.0311.8
Anubis1267%1.0313.5
Mirage1145%0.8710.1
Vertigo729%0.6912.0
Dust2650%1.2412.2
Train250%1.0214.0

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.

13.9%Headshot accuracy
31.8%Accuracy (enemy spotted)
36.4%Spray accuracy
63.8%Counter-strafing
10.9°Preaim
657msReaction time
37.8%T opening success
42.9%CT opening success
0.56Enemies flashed / flash
3.2%Flash assists
9.02HE damage / grenade
5.59Flashes / 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 13.8915% — below the 15% mark we flag

    Aim Training
  2. 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 37.8153% — below the 40% mark we flag

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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.0311%22 Aug
nuke10–130.0216%22 Aug
ancient13–30.118%22 Aug
dust213–100.1118%22 Aug
nuke13–70.0913%22 Aug
inferno10–13-0.0018%20 Aug
ancient12–120.0119%20 Aug
mirage7–130.0313%19 Aug
cache9–13-0.0322%16 Aug
mirage8–13-0.0122%16 Aug
inferno13–60.0714%14 Aug
mirage9–13-0.047%14 Aug
office13–70.0519%14 Aug
inferno13–7-0.018%12 Aug
inferno14–16-0.069%12 Aug
inferno9–30.1720%12 Aug
dust213–3-0.0325%8 Aug
anubis13–50.0020%8 Aug
nuke5–13-0.0716%8 Aug
nuke14–16-0.034%28 Jul
mirage7–13-0.0121%27 Jul
nuke5–13-0.059%27 Jul
inferno4–13-0.0519%26 Jul
anubis3–13-0.0418%26 Jul
ancient13–80.019%26 Jul
dust25–13-0.068%25 Jul
ancient9–13-0.037%25 Jul
nuke3–130.0216%14 Jul
mirage6–13-0.0119%14 Jul
train12–12-0.017%13 Jul
ancient12–16-0.0713%2 Jul
ancient10–13-0.029%29 Jun
mirage13–4-0.0113%29 Jun
anubis8–13-0.0318%25 Jun
mirage4–13-0.0517%25 Jun
dust27–130.0118%23 Jun
mirage13–2-0.0010%23 Jun
ancient8–13-0.0312%23 Jun
ancient8–130.0121%19 Jun
overpass13–50.0819%19 Jun
ancient13–7-0.0812%17 Jun
nuke13–70.0311%17 Jun
anubis8–13-0.027%14 Jun
nuke13–11-0.0117%14 Jun
anubis14–160.0012%13 Jun
anubis9–13-0.058%8 Jun
inferno5–13-0.048%30 May
overpass5–13-0.0114%30 May
dust216–120.065%30 May
ancient6–130.0113%27 May
inferno6–13-0.048%27 May
anubis5–130.059%27 May
overpass10–13-0.098%25 May
nuke13–8-0.0417%25 May
mirage13–11-0.0814%25 May
anubis13–110.0011%24 May
overpass4–13-0.0417%24 May
inferno13–3-0.0116%24 May
anubis7–13-0.0216%24 May
nuke9–130.0113%24 May
ancient16–130.0117%24 May
mirage7–13-0.0516%23 May
dust24–13-0.0826%23 May
ancient5–13-0.065%23 May
nuke12–12-0.0318%23 May
anubis9–13-0.0210%20 May
ancient13–110.0816%20 May
nuke9–13-0.0713%20 May
mirage11–13-0.0411%19 May
dust211–13-0.0317%13 May
ancient12–16-0.0118%13 May
ancient10–13-0.0312%10 May
anubis13–9-0.054%10 May
mirage16–14-0.0013%10 May
anubis14–160.0315%10 May
dust210–13-0.0420%10 May
ancient8–13-0.0111%10 May
nuke3–13-0.0421%10 May
nuke13–70.0412%9 May
overpass7–13-0.0822%9 May
ancient6–130.0523%9 May
overpass13–90.0310%14 Mar
nuke10–13-0.0414%14 Mar
ancient8–13-0.0815%13 Mar
inferno13–60.0311%10 Mar
overpass11–13-0.0511%9 Mar
overpass9–13-0.0112%7 Mar
mirage8–13-0.0712%1 Mar
ancient10–13-0.1111%1 Mar
anubis10–130.0014%1 Mar
office3–130.0023%1 Mar
nuke13–90.0525%31 Jan
mirage13–16-0.0017%27 Jan
ancient16–140.0316%24 Jan
mirage13–110.008%1 Jan
ancient15–15-0.0616%1 Jan
inferno9–13-0.0211%6 Dec
overpass13–6-0.0218%5 Dec
nuke6–13-0.0316%29 Nov
office13–60.0311%28 Nov

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 →