Alm3ra

Alm3ra — CS2 Stats

76561198011060791[U:1:50795063]Steam profile ↗✓ No bans

1,693Tracked matches34%Win rate2020Tracked since
7,659Hours in CS4Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
WingmanGold Nova I
Ladder ranks via Leetify
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. 62 days played since 25 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 7,954 +2,342 11 Mar25 Jun · 23 days played
5,3897,954peak 7,95411 Mar25 Jun
7,954Peak Premier in tracked matches
62Days played since 2026-02-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim53
Positioning39
Utility68

0–100 skill scores via Leetify.

Recent form

COLD40582Last 10040%Win rateWLLLWLLWLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +3.6pp headshot accuracy · +3ms reaction

Win rate 0pp 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

  • 23 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 637ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 631ms

Last 20

  • 614 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 629ms

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 (+2.6 against its own average).

Aim5.3
Utility6.8
Positioning3.9
Opening Duels0.5
Clutch5.4

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.

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 74% 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 45% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim5.3
Positioning3.9
Utility6.8
Mechanics5.9
Opening Duels1.8
Win Impact0.0

Composite 4.5/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time630ms−69ms
first ⅓ avg 699ms → last ⅓ avg 630ms
Headshot accuracy12.5%+0.1%
first ⅓ avg 12.4% → last ⅓ avg 12.5%

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.

Personal bests

0.09Best match rating · 13–5 · mirage, 5 Jun
27%Best headshot accuracy · 13–8 · inferno, 25 Jun
453msFastest reaction time · 13–6 · train, 13 Aug
13–0Biggest win · train, 19 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
69In matches decided by ≤2 rounds
5Overtime games

Map breakdown

officeBest map · 57% over 7overpassWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
ancientD134931%-0.02
dust2B126650%0.01
infernoD103730%-0.01
cacheB105550%-0.01
nukeA95456%-0.02
trainD93633%-0.00
anubisD93633%-0.03
overpassD82625%-0.01
officeA74357%-0.00
mirageD72529%0.01
vertigoB63350%-0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,740Lifetime kills
0.95K/D
9,102Matches
40.9%Match win rate
30.9%Headshot %
16.5%Shot accuracy · Top 25% of tracked players
13,361MVPs
3,450Hours (in match)
7,430Bombs planted
1,748Bombs defused

Most-used weapons

AK-4735,831
AWP12,146
UMP-455,078
MAC-104,913
AUG4,487

Lifetime map wins

15,062dust2
13,169inferno
8,224nuke
1,807train
1,798office
1,662vertigo
936cbble
666italy

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

Faceit stats

Combat

464Matches
41%Win rate
0.87Avg K/D
73.2ADR
32%Headshot %

Clutches & streaks

47%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis5951%0.9414.1
Inferno5345%0.9913.7
Ancient3339%1.0514.0
Nuke2040%0.7712.9
Dust21942%1.0013.6
Train1258%0.8511.0
Mirage1155%0.7911.8
Overpass757%0.8110.7

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.

12.0%Headshot accuracy
34.4%Accuracy (enemy spotted)
33.0%Spray accuracy
76.6%Counter-strafing
9.5°Preaim
629msReaction time
19.8%T opening success
44.6%CT opening success
0.61Enemies flashed / flash
3.8%Flash assists
6.87HE damage / grenade
20.13Flashes / 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 11.968% — 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 19.8288% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–110.077%12 Sept
nuke9–13-0.0411%12 Sept
ancient11–130.0310%12 Sept
ancient9–130.0220%5 Sept
office13–60.0815%4 Sept
office1–6-0.0423%4 Sept
office10–13-0.0214%4 Sept
cache13–6-0.0217%30 Aug
cache10–13-0.0716%29 Aug
cache2–13-0.034%29 Aug
mirage5–130.0016%28 Aug
ancient4–13-0.0314%28 Aug
ancient13–7-0.010%23 Aug
dust212–130.0516%21 Aug
train13–6-0.066%13 Aug
train7–13-0.0212%13 Aug
ancient16–140.0110%12 Aug
nuke11–13-0.106%9 Aug
inferno2–13-0.055%9 Aug
inferno2–13-0.0917%9 Aug
cache2–13-0.023%8 Aug
anubis2–13-0.0913%8 Aug
inferno12–120.0416%7 Aug
nuke3–13-0.0813%2 Aug
anubis13–40.0318%2 Aug
vertigo13–6-0.019%29 Jul
vertigo3–13-0.0215%29 Jul
vertigo13–8-0.0318%29 Jul
nuke13–10-0.0014%26 Jul
inferno9–13-0.0311%24 Jul
anubis6–11-0.0427%24 Jul
anubis13–50.0015%24 Jul
anubis2–13-0.096%23 Jul
cache5–130.078%21 Jul
mirage3–13-0.0215%21 Jul
cache13–40.0111%21 Jul
nuke13–20.0311%21 Jul
office10–13-0.0218%10 Jul
office13–5-0.0213%9 Jul
cache9–13-0.0311%2 Jul
cache13–2-0.0121%2 Jul
ancient5–13-0.044%30 Jun
cache13–60.067%29 Jun
cache13–5-0.0212%29 Jun
inferno13–80.0627%25 Jun
mirage12–16-0.0112%24 Jun
dust213–6-0.0115%24 Jun
dust213–80.044%20 Jun
dust213–7-0.0223%19 Jun
train13–00.0117%19 Jun
train0–130.0410%19 Jun
train0–13-0.0413%17 Jun
train5–130.0513%17 Jun
mirage13–60.0313%14 Jun
ancient16–140.0512%11 Jun
ancient13–6-0.119%10 Jun
overpass3–13-0.082%10 Jun
dust25–130.0114%10 Jun
vertigo9–13-0.027%8 Jun
vertigo3–13-0.0116%8 Jun
mirage13–50.0911%5 Jun
vertigo13–100.0110%3 Jun
dust213–8-0.0115%2 Jun
anubis11–13-0.0511%2 Jun
anubis13–40.010%28 May
overpass3–13-0.059%7 May
overpass9–130.0211%6 May
dust25–13-0.0517%2 May
nuke13–90.0219%29 Apr
dust213–50.0218%29 Apr
overpass8–130.0511%29 Apr
dust21–13-0.0412%29 Apr
ancient2–13-0.103%26 Apr
dust27–130.0311%25 Apr
train13–30.0610%24 Apr
train11–13-0.0510%24 Apr
nuke13–80.0516%22 Apr
inferno10–13-0.039%22 Apr
dust215–150.0117%14 Apr
dust213–110.0313%8 Apr
ancient9–130.0311%6 Apr
anubis10–13-0.026%5 Apr
anubis11–13-0.0313%5 Apr
ancient6–13-0.0216%22 Mar
overpass13–8-0.036%21 Mar
office13–11-0.018%19 Mar
office13–70.019%18 Mar
overpass4–130.0117%17 Mar
ancient11–13-0.078%15 Mar
overpass13–110.0219%14 Mar
nuke13–80.0013%11 Mar
inferno13–4-0.0314%11 Mar
inferno11–13-0.0014%9 Mar
mirage1–13-0.0411%8 Mar
nuke11–13-0.0412%3 Mar
mirage3–130.0218%3 Mar
ancient7–13-0.0214%1 Mar
train3–13-0.0113%1 Mar
inferno12–16-0.017%25 Feb
overpass9–13-0.0218%25 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 →