Alm3ra

Alm3ra — CS2 Stats

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

1,712Tracked matches45%Win rate2020Tracked since
7,676Hours in CS7Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
Premier CS Rating9,585Light Blue band · top ~56.9% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,585 +3,779 21 Mar – 24 Oct · 21 days played
5,4039,585peak 9,58521 Mar24 Oct
9,585Peak Premier in tracked matches
59Days played since 2026-03-18

Premier CS Rating

  • At peak — 9,585
  • Next: Blue band at 10,000 — 415 to go
  • Reached: Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate30.9%39.9%42.0%11.1% short
Shot accuracy16.4%7.0%9.6%above
Kill/death ratio0.950.920.980.03 short
Match win rate41.0%42.3%43.8%2.8% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAlm3raPREMIER9,585 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning51
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateLWWLLWWWLW

Last 10 vs previous 10: +30pp win rate · −0.05 avg rating · +0.8pp headshot accuracy · +38ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 631ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 672ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 653ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim5.4
Utility6.8
Positioning5.1
Opening Duels2.1
Clutch5.8

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 71% 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

Reaction time. 633ms 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

Aim5.4
Positioning5.1
Utility6.8
Mechanics5.7
Opening Duels3.6
Win Impact3.3

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time642ms−59ms
first ⅓ avg 701ms → last ⅓ avg 642ms
Headshot accuracy13.0%+2.1%
first ⅓ avg 11.0% → last ⅓ avg 13.0%

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

0.11Best match rating · 13–11 · anubis, 21 Sept →
40%Best headshot accuracy · 1–13 · cache, 24 Oct →
453msFastest reaction time · 13–6 · train, 13 Aug →
13–0Biggest win · train, 19 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 67% over 9overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B147–750%0.01
ancientB136–746%-0.01
cacheC125–742%-0.01
anubisD124–833%-0.02
infernoD93–633%-0.01
nukeS96–367%-0.02
trainC83–538%-0.00
officeA74–357%-0.00
vertigoB63–350%-0.01
mirageC52–340%0.02
overpassD51–420%-0.02

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

144,093Lifetime kills
0.95K/D · Top 50% of Light Blue band
9,125Matches
41.0%Match win rate
30.9%Headshot %
16.4%Shot accuracy · Top 10% of Light Blue band
13,407MVPs
3,459Hours (in match)
7,455Bombs planted
1,760Bombs defused

Most-used weapons

AK-4735,962
AWP12,174
UMP-455,082
MAC-104,924
AUG4,489

Lifetime map wins

15,088dust2
13,204inferno
8,275nuke
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

475Matches
42%Win rate
0.88Avg K/D
73.6ADR
32%Headshot %

Clutches & streaks

49%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis6351%0.9514.1
Inferno5646%1.0113.6
Ancient3441%1.0614.2
Nuke2236%0.7913.7
Dust22045%1.0314.3
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.

12.6%Headshot accuracy
34.7%Accuracy (enemy spotted)
32.5%Spray accuracy
75.7%Counter-strafing
9.2°Preaim
633msReaction time
41.4%T opening success
47.1%CT opening success
0.61Enemies flashed / flash
5.2%Flash assists
7.31HE damage / grenade
20.32Flashes / 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 12.6034% — below the 15% mark we flag

    Aim Training →
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
inferno6–13-0.077%25 Oct →
dust213–8-0.0113%25 Oct →
nuke13–8-0.0216%24 Oct →
cache9–13-0.0527%24 Oct →
cache1–13-0.0640%24 Oct →
ancient6–20.016%24 Oct →
ancient16–130.0112%17 Oct →
nuke13–9-0.0113%4 Oct →
anubis7–13-0.0313%23 Sept →
inferno13–80.024%23 Sept →
dust212–120.0616%23 Sept →
anubis13–110.1115%21 Sept →
anubis5–13-0.0112%21 Sept →
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 →

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 →

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