Snackarito

Snackarito — CS2 Stats

DE76561198166659801[U:1:206394073]Steam profile ↗✓ No bans

1,248Tracked matches54%Win rate2020Tracked since
2,720Hours in CS82Hrs last 2 wks
CSDB Rating6.1 SolidSupport
Premier CS Rating22,418Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#51235 of 260034 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 22,418 +537 28 Aug – 4 Nov · 29 days played
21,88124,251peak 24,25128 Aug4 Nov
24,605Peak Premier in tracked matches
36Days played since 2026-08-28

Premier CS Rating

  • 1,833 below peak (24,251)
  • -1,745 over 30 days · declining
  • Next: Red band at 25,000 — 2,582 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

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 Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate35.3%48.2%50.9%15.6% short
Shot accuracy8.4%13.2%13.7%5.3% short
Kill/death ratio1.071.071.09meets
Match win rate44.7%46.9%48.4%3.7% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSnackaritoFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER22,418 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77
Positioning58
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateLLLLTWWWLW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +0.8pp headshot accuracy · −50ms reaction

Win rate down 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 464ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 487ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 512ms

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 (+1.4 against its own average).

Aim7.7
Utility6.3
Positioning5.8
Opening Duels2.5
Clutch5.0

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim7.7
Positioning5.8
Utility6.3
Mechanics5.0
Opening Duels2.1
Win Impact6.2

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time518ms+24ms
first ⅓ avg 495ms → last ⅓ avg 518ms
Headshot accuracy14.4%+3.1%
first ⅓ avg 11.3% → last ⅓ avg 14.4%

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

0.18Best match rating · 13–0 · inferno, 15 Oct →
38%Best headshot accuracy · 13–5 · office, 28 Oct →
336msFastest reaction time · 1–5 · cache, 4 Nov →
13–0Biggest win · inferno, 15 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
8–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 50% over 18
MapGradePlayedRecordWin rateAvg rating
infernoA4828–2058%0.02
ancientB189–950%0.02
cacheB147–750%0.00
dust2A74–357%0.02
anubisA53–260%0.02
mirage—41–325%0.03
nuke—22–0100%0.07
office—22–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,045Lifetime kills
1.07K/D
3,195Matches
44.7%Match win rate
35.3%Headshot %
8.4%Shot accuracy
5,855MVPs
2,190Hours (in match)
4,447Bombs planted
822Bombs defused

Most-used weapons

AK-4714,285
MP79,118
AWP1,539
AUG1,462
MP91,412
P901,377
SG 5531,221

Lifetime map wins

8,286inferno
3,684dust2
3,471nuke
654train
503cbble
308office
172vertigo
33italy

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

Faceit stats

Combat

104Matches
58%Win rate
1.32Avg K/D
78.8ADR
36%Headshot %

Clutches & streaks

45%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno3868%1.5716.8
Ancient1942%1.0115.5
Cache1450%1.1215.3
Dust21275%1.3919.1
Anubis1145%1.2917.0
Nuke862%1.2415.8
Mirage10%0.8012.0
Vertigo10%1.2918.0

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.

14.5%Headshot accuracy
39.2%Accuracy (enemy spotted)
45.9%Spray accuracy
72.5%Counter-strafing
10.0°Preaim
524msReaction time
36.0%T opening success
40.8%CT opening success
0.65Enemies flashed / flash
7.3%Flash assists
7.79HE damage / grenade
7.15Flashes / 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 14.4554% — below the 15% mark we flag

    Aim Training →
  2. 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 36.0427% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache1–50.017%4 Nov →
inferno3–13-0.0028%4 Nov →
inferno9–130.1318%4 Nov →
cache4–130.009%4 Nov →
inferno12–120.0717%3 Nov →
nuke13–70.039%3 Nov →
inferno13–60.0512%3 Nov →
nuke13–80.1012%1 Nov →
ancient14–16-0.048%1 Nov →
dust213–50.0418%31 Oct →
inferno13–70.0523%31 Oct →
inferno13–110.0318%31 Oct →
ancient6–13-0.014%31 Oct →
mirage7–130.048%30 Oct →
dust213–40.0313%29 Oct →
inferno13–7-0.0018%29 Oct →
mirage8–130.1015%29 Oct →
inferno13–3-0.015%29 Oct →
ancient13–60.0113%29 Oct →
inferno13–70.0213%29 Oct →
dust213–16-0.029%29 Oct →
inferno6–13-0.0115%28 Oct →
office13–5-0.0238%28 Oct →
office13–100.0813%28 Oct →
inferno13–60.1118%28 Oct →
cache15–150.0213%28 Oct →
ancient9–130.0024%28 Oct →
cache13–100.0113%27 Oct →
mirage9–13-0.049%27 Oct →
inferno2–13-0.0713%27 Oct →
cache13–110.0213%26 Oct →
cache13–100.0611%26 Oct →
inferno13–60.0316%26 Oct →
cache6–130.0317%26 Oct →
ancient8–130.0410%25 Oct →
inferno11–130.039%25 Oct →
inferno13–6-0.0320%25 Oct →
cache10–13-0.026%24 Oct →
ancient9–130.0213%24 Oct →
mirage13–80.0226%24 Oct →
inferno5–13-0.0913%23 Oct →
inferno13–100.0510%23 Oct →
inferno9–130.0215%22 Oct →
inferno13–100.0011%22 Oct →
inferno13–5-0.0014%22 Oct →
dust25–13-0.0328%21 Oct →
inferno13–10.158%21 Oct →
ancient13–10-0.0424%21 Oct →
inferno13–9-0.0020%21 Oct →
anubis13–60.019%16 Oct →
inferno13–30.0730%15 Oct →
inferno13–5-0.0024%15 Oct →
inferno13–00.1820%15 Oct →
inferno13–60.0311%14 Oct →
inferno9–13-0.0911%11 Oct →
ancient11–13-0.0610%10 Oct →
cache13–60.025%7 Oct →
inferno1–130.0019%2 Oct →
ancient13–70.087%2 Oct →
inferno13–110.0116%2 Oct →
inferno4–13-0.029%1 Oct →
inferno12–120.0113%24 Sept →
inferno13–6-0.0411%24 Sept →
inferno13–110.0410%24 Sept →
cache13–4-0.0616%23 Sept →
inferno13–100.028%16 Sept →
ancient13–60.0714%15 Sept →
inferno6–130.0113%15 Sept →
inferno14–160.079%15 Sept →
cache10–13-0.0214%14 Sept →
inferno16–120.0218%14 Sept →
anubis15–150.0027%14 Sept →
ancient13–11-0.0010%13 Sept →
anubis14–16-0.048%13 Sept →
anubis13–40.079%12 Sept →
inferno11–13-0.036%12 Sept →
cache13–11-0.016%12 Sept →
inferno13–160.0114%12 Sept →
anubis13–50.0514%10 Sept →
inferno13–110.047%10 Sept →
ancient11–13-0.056%10 Sept →
dust27–130.088%3 Sept →
ancient4–130.0312%3 Sept →
inferno13–90.0111%3 Sept →
inferno13–110.059%2 Sept →
inferno13–70.109%2 Sept →
dust213–70.0511%2 Sept →
inferno6–130.0522%2 Sept →
inferno11–130.098%31 Aug →
ancient13–100.0310%31 Aug →
dust213–8-0.0110%31 Aug →
ancient13–50.097%31 Aug →
cache10–13-0.046%30 Aug →
inferno13–8-0.0119%30 Aug →
inferno15–15-0.036%29 Aug →
ancient13–90.1113%29 Aug →
cache13–100.048%28 Aug →
ancient13–8-0.0316%28 Aug →
inferno10–130.0020%28 Aug →
ancient9–130.079%28 Aug →

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 →

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