alpaczinio

alpaczinio — CS2 Stats

76561198397634512[U:1:437368784]Steam profile ↗✓ No bans

867Tracked matches33%Win rate2020Tracked since
981Hours in CS
CSDB Rating3.9 LearningPositional Player
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

+15Tracked matches · now 867
−20.0ppWin rate · 53.3% → 33.3%

Rating over time

Premier CS Rating: 21,019 +5,950 24 Apr – 30 Jun · 16 days played
14,70022,045peak 22,04524 Apr30 Jun
22,045Peak Premier in tracked matches
38Days played since 2026-04-22

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

Performance scores

Aim48
Positioning43
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWLLLWLLLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −3.3pp headshot accuracy · −52ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 586ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 572ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 598ms

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 (+0.8 against its own average).

Aim4.8
Utility3.8
Positioning4.3
Opening Duels2.6
Clutch3.2

Limited utility dependence

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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Reaction time. 640ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning4.3
Utility3.8
Mechanics4.4
Opening Duels3.4
Win Impact0.0

Composite 3.9/10 (Learning), 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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time628ms−44ms
first ⅓ avg 672ms → last ⅓ avg 628ms
Headshot accuracy22.6%+2.2%
first ⅓ avg 20.4% → last ⅓ avg 22.6%

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

0.20Best match rating · 9–3 · inferno, 25 May →
50%Best headshot accuracy · 0–6 · nuke, 16 Oct →
422msFastest reaction time · 13–2 · mirage, 11 Oct →
13–1Biggest win · dust2, 24 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 83% over 6nukeWeakest map · 43% over 30
MapGradePlayedRecordWin rateAvg rating
nukeC3013–1743%-0.00
mirageA2715–1256%0.01
dust2B136–746%-0.02
anubisA117–464%-0.00
cacheS75–271%0.02
infernoS65–183%0.06
vertigo—20–20%-0.06
overpass—21–150%-0.04
ancient—10–10%-0.06
stronghold—11–0100%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 30). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,683Lifetime kills
1.13K/D · Top 25% of tracked players
3,396Matches
43.6%Match win rate
48.4%Headshot % · Top 50% of tracked players
12.5%Shot accuracy · Top 50% of tracked players
8,477MVPs
981Hours (in match)
2,222Bombs planted
696Bombs defused

Most-used weapons

AK-4715,627
AWP6,061
SSG 081,563
P901,281
Knife1,098
MP71,072

Lifetime map wins

3,711nuke
3,078inferno
2,191dust2
1,977vertigo
1,276cbble
767train
442office
309italy

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

Faceit stats

Combat

274Matches
52%Win rate
1.07Avg K/D
78.4ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7457%1.0614.8
Nuke4358%1.0815.3
Vertigo3962%1.3016.3
Inferno3946%1.0415.1
Anubis3749%0.9714.3
Dust22730%0.9816.4
Ancient825%0.719.4
Overpass367%0.9213.0

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.

21.3%Headshot accuracy
29.3%Accuracy (enemy spotted)
32.0%Spray accuracy
69.6%Counter-strafing
9.9°Preaim
640msReaction time
48.7%T opening success
38.4%CT opening success
0.62Enemies flashed / flash
7.0%Flash assists
7.61HE damage / grenade
3.25Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2508 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.447% — below the 40% mark we flag

Spend your practice time on Nuke

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

43% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0116%8 Nov →
cache3–130.0124%21 Oct →
nuke11–13-0.0119%21 Oct →
nuke6–13-0.0523%21 Oct →
anubis13–50.0116%21 Oct →
nuke0–6-0.0950%16 Oct →
mirage10–130.0723%16 Oct →
anubis6–13-0.0413%12 Oct →
anubis13–70.0320%11 Oct →
mirage13–20.1627%11 Oct →
nuke10–13-0.0513%11 Oct →
nuke4–13-0.0516%11 Oct →
vertigo11–13-0.0726%11 Oct →
nuke13–100.0028%11 Oct →
nuke3–100.0030%30 Sept →
nuke8–13-0.0335%9 Sept →
nuke13–6-0.0338%4 Sept →
dust27–13-0.0327%16 Jul →
nuke6–9-0.0319%16 Jul →
inferno9–70.1432%10 Jul →
dust211–130.0125%10 Jul →
inferno9–30.0429%10 Jul →
vertigo3–13-0.0416%8 Jul →
nuke13–7-0.0511%7 Jul →
cache13–9-0.0016%7 Jul →
cache11–130.0021%7 Jul →
ancient7–13-0.0617%30 Jun →
dust213–10-0.0328%29 Jun →
dust213–11-0.0614%29 Jun →
nuke6–13-0.0222%29 Jun →
mirage11–130.0114%29 Jun →
dust213–16-0.0611%28 Jun →
dust212–16-0.0429%28 Jun →
mirage13–100.0418%28 Jun →
mirage12–16-0.0514%27 Jun →
nuke13–90.0015%26 Jun →
anubis13–60.0116%26 Jun →
mirage4–13-0.0515%26 Jun →
anubis13–80.0515%26 Jun →
mirage13–50.0521%26 Jun →
inferno13–110.0120%26 Jun →
mirage13–10-0.0315%25 Jun →
mirage3–13-0.0626%24 Jun →
mirage13–70.016%24 Jun →
nuke13–3-0.0317%24 Jun →
dust213–11-0.0334%24 Jun →
dust213–10.1321%24 Jun →
nuke3–13-0.0530%24 Jun →
mirage13–30.0120%24 Jun →
mirage13–110.0016%23 Jun →
mirage14–16-0.0312%23 Jun →
dust26–13-0.0526%23 Jun →
anubis13–8-0.0018%23 Jun →
mirage9–13-0.055%23 Jun →
nuke13–100.016%18 Jun →
nuke13–50.1223%18 Jun →
anubis13–9-0.0911%18 Jun →
mirage13–9-0.028%16 Jun →
dust213–110.0321%16 Jun →
mirage13–80.0718%16 Jun →
nuke12–30.0338%14 Jun →
nuke13–50.0331%14 Jun →
mirage9–13-0.0438%12 Jun →
inferno1–9-0.197%11 Jun →
nuke4–13-0.0219%11 Jun →
cache13–50.0314%10 Jun →
nuke3–8-0.0636%10 Jun →
nuke13–80.1137%10 Jun →
nuke13–60.0831%8 Jun →
mirage13–80.0117%8 Jun →
dust213–10-0.0516%8 Jun →
stronghold13–11-0.0514%7 Jun →
nuke10–13-0.0315%7 Jun →
mirage13–50.0415%26 May →
mirage13–5-0.0411%26 May →
anubis2–13-0.0330%26 May →
nuke13–70.0332%26 May →
nuke3–9-0.1319%25 May →
overpass9–7-0.0219%25 May →
inferno9–30.2018%25 May →
mirage13–20.0227%25 May →
inferno9–50.1413%25 May →
dust29–130.0123%21 May →
cache13–10-0.0314%21 May →
anubis14–160.0414%21 May →
cache13–90.1236%20 May →
mirage13–80.0618%20 May →
nuke7–70.0525%20 May →
nuke13–20.1622%20 May →
nuke5–130.0335%29 Apr →
anubis3–13-0.0533%26 Apr →
overpass11–13-0.0612%25 Apr →
anubis13–70.039%25 Apr →
mirage6–13-0.0112%24 Apr →
mirage10–130.0327%24 Apr →
mirage10–13-0.0212%24 Apr →
cache13–50.0215%23 Apr →
mirage16–140.0412%23 Apr →
mirage8–130.0316%23 Apr →
dust28–13-0.0823%22 Apr →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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