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Alphaˢᵃᵈ󠀡󠀡

Alphaˢᵃᵈ󠀡󠀡 — CS2 Stats

76561198430980761[U:1:470715033]Steam profile ↗✓ No bans

434Tracked matches38%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
CSDB Leaderboard#245263 of 261660 tracked
FaceitLevel 8 · 1,575 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAlphaˢᵃᵈ󠀡󠀡FACEITLevel 8 · 1,575 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning52
Utility67

0–100 skill scores via Leetify.

Recent form

COLD46–47–7Last 10046%Win rateWLTTWLLWLL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −2.0pp headshot accuracy · +18ms 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

  • 2–1–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 585ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 581ms

Last 20

  • 5–11–4 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 572ms

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 (+2 against its own average).

Aim8.3
Utility6.7
Positioning5.2
Opening Duels2.5
Clutch4.6

Strong CT-side openerEffective flashes

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Aim8.3
Positioning5.2
Utility6.7
Mechanics7.2
Opening Duels4.3
Win Impact1.2

Composite 5.9/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time557ms−8ms
first ⅓ avg 565ms → last ⅓ avg 557ms
Headshot accuracy26.8%+1.0%
first ⅓ avg 25.8% → last ⅓ avg 26.8%

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

0.31Best match rating · 9–3 · nuke, 3 Oct →
100%Best headshot accuracy · 1–4 · dust2, 1 Oct →
375msFastest reaction time · 2–13 · inferno, 7 Oct →
13–0Biggest win · dust2, 30 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 8 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
dust2B8540–4547%0.01
nuke—42–250%0.11
inferno—40–40%-0.01
ancient—22–0100%-0.03
mirage—21–150%0.01
vertigo—10–10%0.04
cache—10–10%0.02
anubis—11–0100%0.05

Across the last 100 tracked matches.

Faceit stats

Combat

141Matches
64%Win rate
1.41Avg K/D
83.4ADR
52%Headshot %

Clutches & streaks

43%1v1 clutch win
34%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust23080%1.4218.0
Mirage2767%1.2416.5
Inferno540%0.9316.4
Nuke333%1.1621.0
Ancient30%0.9915.0
Anubis250%0.7413.0
Overpass1100%1.2123.0
Train1100%1.5625.0

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.

26.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.4%Spray accuracy
82.6%Counter-strafing
9.1°Preaim
548msReaction time
45.8%T opening success
48.4%CT opening success
0.74Enemies flashed / flash
10.3%Flash assists
8.13HE damage / grenade
13.34Flashes / match

Recent matches

MapScoreRatingHS%Date
dust213–6-0.0429%10 Nov →
dust29–13-0.0325%9 Nov →
dust212–120.0440%8 Nov →
dust212–12-0.0831%5 Nov →
dust213–60.0212%5 Nov →
dust29–130.0017%3 Nov →
dust29–13-0.0131%3 Nov →
dust213–9-0.0714%3 Nov →
vertigo7–90.0426%2 Nov →
nuke1–9-0.1320%2 Nov →
dust212–120.0524%31 Oct →
dust213–100.0222%31 Oct →
dust25–13-0.0423%31 Oct →
dust25–130.0146%30 Oct →
dust27–130.0520%30 Oct →
dust213–11-0.0036%27 Oct →
dust212–120.0121%27 Oct →
dust29–13-0.0021%26 Oct →
dust25–13-0.0228%26 Oct →
inferno10–13-0.0223%24 Oct →
dust210–130.0424%24 Oct →
dust29–130.1132%23 Oct →
dust27–13-0.0421%21 Oct →
dust29–130.0837%21 Oct →
dust213–5-0.0521%20 Oct →
dust27–130.0114%19 Oct →
dust25–13-0.0833%19 Oct →
dust27–10.0227%19 Oct →
dust27–110.0343%18 Oct →
dust213–100.0533%17 Oct →
dust213–30.0822%17 Oct →
dust26–00.0333%16 Oct →
dust211–130.0533%15 Oct →
dust213–100.0433%14 Oct →
dust213–30.1140%14 Oct →
dust20–13-0.0750%14 Oct →
dust213–40.0226%13 Oct →
dust213–110.0327%12 Oct →
dust213–70.0733%12 Oct →
dust211–13-0.0125%12 Oct →
dust213–30.0353%11 Oct →
dust213–50.0775%11 Oct →
dust29–13-0.0630%9 Oct →
dust213–20.0630%9 Oct →
cache1–50.0243%9 Oct →
dust28–13-0.0331%8 Oct →
dust213–60.0926%8 Oct →
inferno2–13-0.0431%7 Oct →
ancient13–9-0.0223%7 Oct →
dust23–13-0.0525%7 Oct →
dust213–5-0.0028%6 Oct →
dust213–9-0.0921%6 Oct →
dust213–50.0527%6 Oct →
mirage16–12-0.0512%4 Oct →
ancient13–6-0.0514%4 Oct →
anubis5–00.0523%4 Oct →
nuke8–80.0627%4 Oct →
nuke9–60.1936%3 Oct →
nuke9–30.3127%3 Oct →
dust24–9-0.0325%3 Oct →
dust213–5-0.0147%3 Oct →
dust24–13-0.0443%3 Oct →
dust28–20.0137%3 Oct →
dust27–10.0333%3 Oct →
dust210–130.0523%2 Oct →
dust213–40.0532%2 Oct →
dust21–40.04100%1 Oct →
dust27–5-0.0611%1 Oct →
dust28–13-0.0928%1 Oct →
dust213–11-0.0614%1 Oct →
dust28–13-0.0120%30 Sept →
dust213–00.0244%30 Sept →
dust28–130.0138%30 Sept →
dust213–70.1028%30 Sept →
dust25–13-0.0129%29 Sept →
dust26–13-0.0421%28 Sept →
dust213–6-0.0532%27 Sept →
inferno7–9-0.0545%27 Sept →
dust213–100.0919%27 Sept →
dust24–13-0.0242%27 Sept →
dust210–13-0.0228%26 Sept →
inferno6–90.0510%26 Sept →
dust26–130.0621%25 Sept →
dust212–120.0821%25 Sept →
dust23–13-0.0120%25 Sept →
dust213–100.1124%25 Sept →
dust23–13-0.0629%25 Sept →
dust213–80.0221%24 Sept →
dust213–10.0932%24 Sept →
mirage5–90.0626%24 Sept →
dust27–13-0.0224%24 Sept →
dust213–90.0025%24 Sept →
dust213–9-0.0515%24 Sept →
dust212–12-0.0418%24 Sept →
dust213–50.0429%24 Sept →
dust213–100.0321%24 Sept →
dust211–13-0.0146%24 Sept →
dust22–13-0.0818%24 Sept →
dust29–13-0.0333%23 Sept →
dust213–8-0.0122%23 Sept →

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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