MrAlias

MrAlias — CS2 Stats

76561198409166259[U:1:448900531]Steam profile ↗✓ No bans

937Tracked matches34%Win rate2021Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating17,053Purple band · top ~20.2% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,053 → 17,053
0Faceit ELO · 948 → 948
+1Tracked matches · now 937
0.0ppWin rate · 34.5% → 34.5%
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. 29 days played since 23 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,053 +3,715 28 Jun10 Sept · 26 days played
13,33819,401peak 19,40128 Jun10 Sept
Faceit ELO: 948 +0 2 Sept10 Sept · 3 observations
948948peak 9482 Sept10 Sept
19,547Peak Premier in tracked matches
948Highest Faceit ELO seen on CSDB
29Days played since 2026-06-23

Faceit ELO

  • At peak — 948
  • Next: Level 5 at 1,051 103 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-02
  • Level 3 first seen 2026-09-02

Premier CS Rating

  • 2,348 below peak (19,401)
  • -1,326 over 30 days · declining
  • Next: Pink band at 20,000 2,947 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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.

Share this profile

CSDB.GGMrAliasPREMIER17,053 · Purple bandPEAK ELO948csdb.gg/stats

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Performance scores

Aim38
Positioning47
Utility60

0–100 skill scores via Leetify.

Recent form

COLD44524Last 10044%Win rateLLLWLWLTLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −4.2pp headshot accuracy · +12ms 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

  • 14 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 575ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 611ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 605ms

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: SupportUtility contribution stands above the rest of this profile (+2.3 against its own average).

Aim3.8
Utility6.0
Positioning4.7
Opening Duels0.6
Clutch3.4

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

Twistzz

Plays most like Twistzz 62% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 621ms 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

Aim3.8
Positioning4.7
Utility6.0
Mechanics6.3
Opening Duels0.0
Win Impact0.0

Composite 3.9/10 (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 rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time630ms−27ms
first ⅓ avg 657ms → last ⅓ avg 630ms
Headshot accuracy11.9%−0.9%
first ⅓ avg 12.8% → last ⅓ avg 11.9%

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

0.07Best match rating · 9–4 · inferno, 23 Jun
34%Best headshot accuracy · 13–8 · nuke, 28 Jun
406msFastest reaction time · 0–13 · ancient, 29 Jun
13–0Biggest win · cache, 12 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
97In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 52% over 25dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientB25131252%-0.04
nukeC2291341%-0.04
mirageB168850%-0.06
infernoB126650%-0.01
anubisD113827%-0.05
cacheB84450%-0.05
dust2D61517%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

65Matches
34%Win rate
0.64Avg K/D
53.1ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1811%0.559.3
Ancient1464%0.749.6
Dust21020%0.549.1
Mirage850%0.699.9
Inferno520%0.7010.0
Train333%0.7913.7
Anubis333%0.5710.3
Cache250%0.526.5

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.

12.1%Headshot accuracy
26.9%Accuracy (enemy spotted)
33.7%Spray accuracy
78.1%Counter-strafing
11.2°Preaim
621msReaction time
26.0%T opening success
30.1%CT opening success
0.62Enemies flashed / flash
6.5%Flash assists
8.40HE damage / grenade
19.45Flashes / 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 12.0979% — 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 26.0198% — below the 40% mark we flag

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke21–25-0.068%16 Sept
ancient5–13-0.1010%8 Sept
inferno13–160.018%2 Sept
nuke13–8-0.038%2 Sept
anubis8–13-0.0213%2 Sept
ancient13–11-0.0315%2 Sept
mirage2–13-0.087%29 Aug
dust215–15-0.0013%29 Aug
inferno4–13-0.0613%29 Aug
cache16–14-0.0516%29 Aug
nuke9–13-0.0615%28 Aug
mirage13–8-0.0513%27 Aug
ancient16–12-0.0314%27 Aug
mirage8–13-0.1314%26 Aug
anubis5–13-0.128%26 Aug
mirage5–13-0.0933%24 Aug
inferno13–20.043%24 Aug
nuke6–130.0216%24 Aug
ancient13–9-0.0215%24 Aug
dust26–13-0.0321%18 Aug
inferno8–13-0.0210%18 Aug
cache13–3-0.0413%18 Aug
dust25–13-0.0329%18 Aug
mirage10–13-0.068%12 Aug
ancient1–130.0014%12 Aug
mirage13–8-0.018%9 Aug
nuke8–13-0.0510%9 Aug
inferno13–7-0.053%9 Aug
inferno9–40.0619%9 Aug
nuke6–9-0.143%9 Aug
nuke1–13-0.080%7 Aug
ancient5–13-0.078%5 Aug
inferno3–9-0.167%5 Aug
nuke9–13-0.0518%3 Aug
ancient13–10-0.0418%3 Aug
mirage13–4-0.0116%3 Aug
dust213–3-0.0825%3 Aug
anubis10–13-0.0310%3 Aug
cache11–13-0.076%3 Aug
ancient6–13-0.049%19 Jul
nuke16–14-0.0111%19 Jul
inferno13–6-0.013%19 Jul
mirage2–13-0.0614%19 Jul
ancient13–6-0.045%17 Jul
cache2–13-0.087%17 Jul
ancient3–13-0.058%17 Jul
inferno10–13-0.0229%15 Jul
nuke5–13-0.0219%15 Jul
anubis10–13-0.059%15 Jul
ancient13–11-0.0214%15 Jul
mirage8–13-0.0618%15 Jul
nuke13–10-0.0219%12 Jul
cache13–0-0.0313%12 Jul
cache5–13-0.068%12 Jul
ancient13–16-0.0614%12 Jul
nuke9–13-0.034%12 Jul
anubis13–6-0.0014%12 Jul
ancient15–15-0.0314%11 Jul
cache13–20.017%11 Jul
nuke13–100.0512%11 Jul
mirage13–10-0.0215%11 Jul
ancient13–40.0019%11 Jul
anubis5–13-0.0711%11 Jul
mirage13–11-0.049%10 Jul
anubis13–7-0.0218%10 Jul
cache11–13-0.0823%10 Jul
ancient13–3-0.023%10 Jul
anubis4–13-0.109%9 Jul
ancient10–13-0.0614%9 Jul
nuke13–00.0118%9 Jul
nuke11–13-0.0312%6 Jul
mirage13–11-0.1017%6 Jul
ancient11–13-0.0712%6 Jul
anubis3–13-0.123%3 Jul
ancient13–50.0313%3 Jul
ancient15–15-0.0718%2 Jul
anubis13–10-0.056%2 Jul
nuke11–13-0.026%2 Jul
mirage13–11-0.074%2 Jul
ancient13–5-0.0010%2 Jul
inferno13–40.0021%2 Jul
ancient7–13-0.0512%1 Jul
nuke4–13-0.0414%1 Jul
mirage14–16-0.066%1 Jul
dust29–13-0.0512%30 Jun
anubis11–13-0.0112%30 Jun
ancient13–1-0.018%30 Jun
ancient0–13-0.090%29 Jun
nuke13–9-0.0519%29 Jun
ancient13–11-0.088%29 Jun
nuke13–11-0.0616%29 Jun
ancient13–10-0.0214%29 Jun
mirage8–13-0.0118%28 Jun
inferno2–13-0.0219%28 Jun
nuke13–30.0118%28 Jun
dust24–13-0.086%28 Jun
nuke13–80.0134%28 Jun
mirage13–8-0.0520%28 Jun
nuke8–8-0.1416%23 Jun
inferno9–40.079%23 Jun

Match data via Leetify.

Recent teammates

Milestones

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