Alfred J Vaha

Alfred J Vaha — CS2 Stats

FI76561197970934554[U:1:10668826]Steam profile ↗VAC banned

347Tracked matches62%Win rate2023Tracked since
1,487Hours in CS2Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating16,095Purple band · top ~24% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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: 16,095 +773 30 Jul – 3 Nov · 20 days played
13,58917,026peak 17,02630 Jul3 Nov
17,026Peak Premier in tracked matches
28Days played since 2026-07-09

Premier CS Rating

  • 931 below peak (17,026)
  • +368 over 90 days
  • Next: Pink band at 20,000 — 3,905 to go
  • Reached: Purple band · Blue band · 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate47.6%44.4%46.9%meets
Shot accuracy14.5%11.9%13.0%above
Kill/death ratio1.231.031.08above
Match win rate50.0%45.2%46.7%above

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGAlfred J VahaPREMIER16,095 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning67
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWWWWLWWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −3.3pp headshot accuracy · +62ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 567ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 536ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim7.9
Utility6.3
Positioning6.7
Opening Duels4.5

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

jL

Plays most like jL 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 47% on CT — first contacts on the defending side are being lost.

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

Aim7.9
Positioning6.7
Utility6.3
Mechanics6.4
Opening Duels6.6
Win Impact9.0

Composite 7.2/10 (Strong), 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 rating0.03+0.04
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time529ms−28ms
first ⅓ avg 557ms → last ⅓ avg 529ms
Headshot accuracy18.5%−2.4%
first ⅓ avg 20.9% → last ⅓ avg 18.5%

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

0.31Best match rating · 9–1 · nuke, 19 Aug →
47%Best headshot accuracy · 2–13 · mirage, 21 Aug →
359msFastest reaction time · 0–13 · dust2, 29 Jul →
13–1Biggest win · cache, 26 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 63% over 27mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2717–1063%0.02
ancientC177–1041%-0.00
cacheB158–753%0.02
dust2C135–838%0.01
anubisB126–650%0.01
mirageD93–633%0.02
nukeA74–357%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,590Lifetime kills
1.23K/D · Top 25% of Purple band
2,010Matches
50.0%Match win rate · Top 25% of Purple band
47.6%Headshot % · Top 50% of Purple band
14.5%Shot accuracy · Top 50% of Purple band
5,820MVPs
881Hours (in match)
2,495Bombs planted
634Bombs defused

Most-used weapons

Lifetime map wins

6,411dust2
3,359inferno
1,009nuke
368vertigo
219train
139cbble
118dust
81aztec

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

Faceit stats

Combat

1Matches
0%Win rate
0.56Avg K/D
—ADR
56%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

18.6%Headshot accuracy
36.1%Accuracy (enemy spotted)
37.0%Spray accuracy
78.9%Counter-strafing
9.0°Preaim
527msReaction time
65.9%T opening success
46.8%CT opening success
0.57Enemies flashed / flash
6.5%Flash assists
10.66HE damage / grenade
8.04Flashes / match

Recommended for you

Spend your practice time on Mirage

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–16-0.0313%3 Nov →
cache13–70.0520%3 Nov →
ancient13–90.0325%31 Oct →
dust213–50.1119%21 Sept →
inferno13–7-0.0112%21 Sept →
cache9–13-0.0110%21 Sept →
cache13–20.1121%18 Sept →
inferno13–100.0725%18 Sept →
dust210–13-0.0022%17 Sept →
anubis9–13-0.0416%17 Sept →
inferno2–130.0121%17 Sept →
mirage7–13-0.0146%17 Sept →
inferno11–13-0.0326%17 Sept →
ancient13–70.0414%16 Sept →
anubis13–80.0330%15 Sept →
nuke13–40.059%15 Sept →
inferno13–90.0522%15 Sept →
inferno13–40.1214%15 Sept →
ancient15–15-0.0312%15 Sept →
inferno13–40.0719%15 Sept →
dust213–100.0317%13 Sept →
anubis13–20.0613%13 Sept →
ancient13–16-0.0015%13 Sept →
ancient13–30.0514%5 Sept →
nuke3–130.0013%5 Sept →
dust21–13-0.0621%5 Sept →
inferno13–70.0618%5 Sept →
dust216–13-0.0111%5 Sept →
nuke13–100.0420%5 Sept →
anubis14–160.0323%5 Sept →
mirage13–30.2118%5 Sept →
mirage10–13-0.0320%5 Sept →
cache13–110.0212%5 Sept →
cache13–70.0721%30 Aug →
dust213–50.0423%30 Aug →
inferno4–13-0.0615%30 Aug →
inferno7–130.0414%28 Aug →
inferno15–150.0118%24 Aug →
ancient13–110.0210%22 Aug →
dust213–11-0.0127%22 Aug →
cache13–90.1024%22 Aug →
nuke5–13-0.0535%21 Aug →
mirage7–13-0.0311%21 Aug →
inferno4–10.0116%21 Aug →
inferno9–60.0825%21 Aug →
nuke9–60.1013%21 Aug →
dust28–13-0.0423%21 Aug →
mirage2–130.0247%21 Aug →
anubis0–13-0.0714%21 Aug →
anubis13–60.0616%20 Aug →
inferno13–50.105%20 Aug →
dust211–130.1017%20 Aug →
mirage13–110.038%20 Aug →
dust27–130.0718%20 Aug →
ancient9–13-0.0313%20 Aug →
anubis13–40.1011%20 Aug →
dust28–13-0.0235%19 Aug →
inferno12–16-0.0223%19 Aug →
ancient8–13-0.028%19 Aug →
anubis9–13-0.036%19 Aug →
inferno11–10.0520%19 Aug →
nuke9–10.3116%19 Aug →
inferno9–4-0.0117%19 Aug →
nuke4–9-0.0422%19 Aug →
inferno13–40.0410%4 Aug →
ancient4–13-0.0914%2 Aug →
cache1–13-0.0115%2 Aug →
inferno13–70.0123%1 Aug →
mirage11–130.0123%1 Aug →
inferno16–130.0126%1 Aug →
ancient5–13-0.0410%1 Aug →
ancient8–130.0725%1 Aug →
anubis13–100.0826%1 Aug →
cache13–16-0.0111%30 Jul →
inferno1–13-0.0412%30 Jul →
anubis13–70.0220%30 Jul →
inferno11–130.0317%30 Jul →
dust20–13-0.0944%29 Jul →
cache13–10.0318%26 Jul →
ancient8–13-0.0521%26 Jul →
anubis5–13-0.088%26 Jul →
inferno13–110.0110%26 Jul →
cache13–8-0.0126%26 Jul →
anubis11–13-0.0421%25 Jul →
ancient13–9-0.0216%14 Jul →
mirage13–60.0323%14 Jul →
inferno13–50.0323%14 Jul →
cache8–20.0415%14 Jul →
ancient8–130.0317%13 Jul →
inferno11–13-0.0213%13 Jul →
ancient13–10-0.0027%12 Jul →
inferno7–13-0.0524%12 Jul →
cache15–150.0225%12 Jul →
inferno13–5-0.0231%12 Jul →
dust26–130.0020%10 Jul →
cache8–130.0421%10 Jul →
cache5–13-0.1030%10 Jul →
cache5–13-0.0531%10 Jul →
mirage9–13-0.0418%9 Jul →
ancient13–60.0214%9 Jul →

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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