The Almond (Activating)

The Almond (Activating) — CS2 Stats

AU76561198275559559[U:1:315293831]Steam profile ↗✓ No bans

465Tracked matches57%Win rate2021Tracked since
382Hours in CS
CSDB Rating5.7 SolidClutch Specialist
Premier CS Rating14,878Blue band · top ~29% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 14,878 → 14,878
+4Tracked matches · now 465
−7.2ppWin rate · 64.3% → 57.1%

Rating over time

Premier CS Rating: 14,878 +3,445 19 Aug – 3 Sept · 14 days played
10,13514,890peak 14,89019 Aug3 Sept
15,100Peak Premier in tracked matches
15Days played since 2026-08-19

Premier CS Rating

  • 12 below peak (14,890)
  • Next: Purple band at 15,000 — 122 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate65.4%42.0%44.3%above
Shot accuracy3.3%9.6%11.9%8.6% short
Kill/death ratio2.370.981.03above
Match win rate39.7%43.8%45.2%5.5% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGThe Almond (Activating)PREMIER14,878 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning51
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLWLLLWWLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.7pp headshot accuracy · +36ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 608ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 572ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 554ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.5 against its own average).

Aim7.7
Utility4.1
Positioning5.1
Opening Duels2.7
Clutch10.0

Limited utility dependenceReliable in 1v1s

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

sh1ro

Plays most like sh1ro 99% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.7
Positioning5.1
Utility4.1
Mechanics7.3
Opening Duels1.8
Win Impact7.4

Composite 5.7/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time553ms−18ms
first ⅓ avg 571ms → last ⅓ avg 553ms
Headshot accuracy14.5%−1.8%
first ⅓ avg 16.3% → last ⅓ avg 14.5%

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

0.14Best match rating · 13–2 · mirage, 19 Aug →
37%Best headshot accuracy · 13–6 · mirage, 19 Aug →
422msFastest reaction time · 4–13 · ancient, 22 Aug →
13–0Biggest win · ancient, 30 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 100% over 6ancientWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC239–1439%-0.01
mirageC228–1436%-0.01
nukeA1710–759%-0.01
ancientD164–1225%-0.02
dust2D103–730%-0.00
cacheS64–267%-0.02
anubisS66–0100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,861Lifetime kills
2.37K/D · Top 1% of Blue band
700Matches
39.7%Match win rate
65.4%Headshot % · Top 5% of Blue band
3.3%Shot accuracy
1,033MVPs
382Hours (in match)
573Bombs planted
194Bombs defused

Most-used weapons

Lifetime map wins

1,473dust2
957nuke
769inferno
39train
18bank
15safehouse
6cbble
5ar_shoots

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

Faceit stats

Combat

3Matches
33%Win rate
0.60Avg K/D
62.3ADR
39%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.5811.0
Ancient10%0.386.0
Nuke1100%0.8319.0

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.

14.7%Headshot accuracy
39.6%Accuracy (enemy spotted)
41.5%Spray accuracy
83.1%Counter-strafing
11.1°Preaim
549msReaction time
31.4%T opening success
43.0%CT opening success
0.47Enemies flashed / flash
7.4%Flash assists
10.35HE damage / grenade
2.82Flashes / 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 14.6791% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4663 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.3776% — below the 40% mark we flag

Spend your practice time on Ancient

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 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–8-0.0112%15 Sept →
mirage13–80.0221%15 Sept →
ancient5–13-0.0915%4 Sept →
mirage10–13-0.0411%4 Sept →
inferno7–13-0.0326%2 Sept →
dust213–10-0.0115%2 Sept →
cache13–90.0014%1 Sept →
mirage2–13-0.0411%30 Aug →
inferno5–13-0.0512%30 Aug →
anubis13–70.0329%30 Aug →
ancient13–00.0613%30 Aug →
anubis13–30.0723%30 Aug →
nuke15–150.0113%30 Aug →
cache16–14-0.0011%30 Aug →
inferno13–30.0611%28 Aug →
mirage5–13-0.0315%28 Aug →
nuke16–140.0411%28 Aug →
inferno14–16-0.0413%28 Aug →
nuke13–9-0.0923%28 Aug →
mirage15–15-0.057%27 Aug →
mirage13–30.035%27 Aug →
anubis13–90.0317%27 Aug →
ancient14–16-0.0114%27 Aug →
nuke11–13-0.0410%26 Aug →
inferno7–13-0.0217%26 Aug →
nuke13–60.0023%25 Aug →
inferno13–70.0112%25 Aug →
inferno11–13-0.0113%25 Aug →
inferno13–11-0.0113%25 Aug →
dust213–11-0.0419%24 Aug →
anubis13–10-0.0110%24 Aug →
anubis13–110.0515%24 Aug →
dust213–90.037%24 Aug →
inferno10–130.0018%23 Aug →
nuke13–50.0019%23 Aug →
ancient10–13-0.0717%23 Aug →
inferno13–110.0015%23 Aug →
nuke13–30.0719%23 Aug →
nuke10–13-0.0221%22 Aug →
mirage13–10-0.0716%22 Aug →
nuke11–13-0.0816%22 Aug →
mirage7–130.0421%22 Aug →
inferno5–13-0.0525%22 Aug →
mirage16–13-0.0413%22 Aug →
dust215–15-0.0213%22 Aug →
ancient8–13-0.1017%22 Aug →
cache6–13-0.0213%22 Aug →
anubis13–11-0.0316%22 Aug →
inferno14–16-0.0015%22 Aug →
nuke3–13-0.0717%22 Aug →
mirage11–130.0116%22 Aug →
ancient13–8-0.0013%22 Aug →
dust210–130.0410%22 Aug →
ancient4–13-0.059%22 Aug →
ancient15–150.017%22 Aug →
ancient8–13-0.0310%21 Aug →
inferno4–13-0.038%21 Aug →
mirage0–13-0.0418%21 Aug →
inferno13–10-0.0116%21 Aug →
mirage13–100.0510%21 Aug →
cache4–13-0.0521%21 Aug →
mirage2–13-0.0721%21 Aug →
inferno13–100.0013%21 Aug →
inferno2–13-0.0414%21 Aug →
ancient5–13-0.0316%21 Aug →
dust28–13-0.027%21 Aug →
cache13–11-0.038%21 Aug →
mirage9–130.0316%21 Aug →
nuke13–70.0316%21 Aug →
ancient15–150.0111%21 Aug →
inferno13–11-0.0218%20 Aug →
mirage5–13-0.0117%20 Aug →
mirage6–13-0.049%20 Aug →
nuke13–100.0214%20 Aug →
cache13–6-0.0026%20 Aug →
ancient13–110.0116%20 Aug →
nuke13–11-0.0115%20 Aug →
dust25–130.0213%20 Aug →
inferno9–13-0.0118%20 Aug →
nuke15–15-0.0113%20 Aug →
ancient8–13-0.0222%20 Aug →
inferno7–13-0.0418%20 Aug →
nuke8–13-0.0418%20 Aug →
nuke13–70.0515%20 Aug →
mirage0–13-0.1013%20 Aug →
ancient10–130.0218%19 Aug →
dust25–13-0.029%19 Aug →
ancient11–13-0.0311%19 Aug →
mirage16–14-0.039%19 Aug →
inferno13–10-0.0413%19 Aug →
mirage13–20.1427%19 Aug →
inferno13–9-0.0123%19 Aug →
ancient13–10-0.0016%19 Aug →
mirage6–130.0123%19 Aug →
dust28–13-0.067%19 Aug →
dust214–160.027%19 Aug →
mirage8–13-0.0718%19 Aug →
inferno10–130.0219%19 Aug →
nuke13–11-0.0116%19 Aug →
mirage13–6-0.0237%19 Aug →

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 →

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