vinsanity

vinsanity — CS2 Stats

BR76561198197169957[U:1:236904229]Steam profile ↗✓ No bans

566Tracked matches57%Win rate2025Tracked since
1,263Hours in CS10Hrs last 2 wks
CSDB Rating6.3 SolidClutch Specialist
Premier CS Rating17,681Purple band · top ~17.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+1741Premier CS Rating · 15,940 → 17,681

Rating over time

Premier CS Rating: 17,681 +3,068 3 Sept – 15 Nov · 42 days played
14,34917,681peak 17,6813 Sept15 Nov
18,003Peak Premier in tracked matches
41Days played since 2026-09-03

Premier CS Rating

  • At peak — 17,681
  • +1,803 over 30 days · improving
  • Next: Pink band at 20,000 — 2,319 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-21
  • Blue band first seen 2026-09-03

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=42,517), 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 rate38.6%44.4%46.9%8.3% short
Shot accuracy8.5%11.8%13.0%4.4% short
Kill/death ratio0.901.031.080.18 short
Match win rate44.2%45.3%46.7%2.5% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Share this profile

CSDB.GGvinsanityPREMIER17,681 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning58
Utility49

0–100 skill scores via Leetify.

Recent form

HOT44–49–7Last 10044%Win rateWWWWLWWWWL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −0.6pp headshot accuracy · +65ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 628ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 656ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 623ms

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 (+4.1 against its own average).

Aim7.3
Utility4.9
Positioning5.8
Opening Duels2.9
Clutch10.0

Reliable 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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Areas to improve

Reaction time. 627ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.3
Positioning5.8
Utility4.9
Mechanics7.5
Opening Duels3.7
Win Impact7.4

Composite 6.3/10 (Solid), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time623ms−16ms
first ⅓ avg 639ms → last ⅓ avg 623ms
Headshot accuracy13.6%−2.8%
first ⅓ avg 16.4% → last ⅓ avg 13.6%

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

0.11Best match rating · 13–6 · ancient, 24 Oct →
36%Best headshot accuracy · 13–8 · dust2, 9 Oct →
406msFastest reaction time · 3–13 · dust2, 26 Sept →
13–0Biggest win · ancient, 26 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
4–6In matches decided by ≤2 rounds
19Overtime games

Map breakdown

nukeBest map · 57% over 7anubisWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%-0.00
infernoB2412–1250%-0.02
dust2D196–1332%-0.02
anubisD123–925%-0.02
nukeA74–357%-0.02
ancientC73–443%-0.00
cacheB63–350%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,870Lifetime kills
0.90K/D
1,768Matches
44.2%Match win rate
38.6%Headshot %
8.5%Shot accuracy
3,270MVPs
714Hours (in match)
1,686Bombs planted
371Bombs defused

Most-used weapons

AK-477,291
AUG2,525
SG 5532,092
AWP1,082
P901,061
MP9651

Lifetime map wins

7,339dust2
2,571inferno
1,013nuke
126train
15cbble
9lake
9safehouse
7ar_shoots

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

Faceit stats

Combat

6Matches
67%Win rate
1.18Avg K/D
86.9ADR
45%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno367%1.0011.7
Dust22100%1.4518.0
Ancient10%1.1523.0

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.

13.5%Headshot accuracy
39.5%Accuracy (enemy spotted)
40.0%Spray accuracy
83.8%Counter-strafing
9.5°Preaim
627msReaction time
44.9%T opening success
44.7%CT opening success
0.49Enemies flashed / flash
8.7%Flash assists
7.19HE damage / grenade
10.33Flashes / 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 13.4872% — 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 0.4904 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–130.0215%15 Nov →
mirage13–100.0112%15 Nov →
inferno13–20.049%15 Nov →
anubis13–80.0423%15 Nov →
anubis0–13-0.0111%13 Nov →
inferno13–1-0.0014%13 Nov →
nuke13–10-0.0412%13 Nov →
inferno13–80.0515%12 Nov →
dust213–5-0.0513%12 Nov →
anubis9–13-0.056%11 Nov →
dust213–10-0.0221%5 Nov →
mirage13–7-0.0510%5 Nov →
inferno16–130.029%2 Nov →
cache9–13-0.0220%2 Nov →
mirage13–7-0.015%30 Oct →
inferno15–15-0.038%29 Oct →
dust26–13-0.0917%29 Oct →
anubis10–13-0.025%28 Oct →
dust25–13-0.0829%26 Oct →
ancient11–130.0411%25 Oct →
mirage16–120.0218%25 Oct →
inferno13–5-0.0220%25 Oct →
dust25–13-0.0418%25 Oct →
mirage7–130.039%24 Oct →
inferno5–13-0.058%24 Oct →
anubis15–15-0.0613%24 Oct →
ancient9–13-0.074%24 Oct →
dust213–70.0317%24 Oct →
inferno9–13-0.0518%24 Oct →
ancient13–60.1115%24 Oct →
anubis13–11-0.049%23 Oct →
inferno13–90.0113%23 Oct →
mirage2–13-0.0219%23 Oct →
anubis14–160.0112%23 Oct →
mirage2–13-0.0630%22 Oct →
dust25–130.0416%21 Oct →
dust29–130.028%20 Oct →
nuke1–13-0.0620%20 Oct →
mirage13–9-0.053%19 Oct →
nuke13–2-0.0222%16 Oct →
mirage13–160.0412%16 Oct →
anubis9–13-0.046%14 Oct →
mirage2–13-0.0724%14 Oct →
ancient6–13-0.0713%13 Oct →
mirage4–13-0.058%13 Oct →
inferno13–8-0.0616%12 Oct →
dust211–6-0.0316%12 Oct →
mirage1–10-0.0129%12 Oct →
anubis13–7-0.0321%9 Oct →
dust213–80.0436%9 Oct →
mirage8–130.0224%9 Oct →
inferno8–13-0.0212%9 Oct →
inferno4–13-0.0714%8 Oct →
mirage13–70.0124%8 Oct →
anubis10–13-0.0515%8 Oct →
dust24–13-0.0325%8 Oct →
mirage13–90.0217%8 Oct →
mirage4–00.0122%8 Oct →
cache1–13-0.0424%8 Oct →
dust214–16-0.0214%7 Oct →
dust26–13-0.0520%7 Oct →
anubis15–150.017%6 Oct →
ancient13–16-0.0516%6 Oct →
inferno9–13-0.0215%5 Oct →
mirage13–7-0.018%3 Oct →
dust216–12-0.0014%3 Oct →
mirage13–8-0.053%3 Oct →
cache13–9-0.0519%2 Oct →
anubis7–13-0.049%2 Oct →
cache0–5-0.120%2 Oct →
inferno7–13-0.0211%1 Oct →
nuke9–13-0.0220%1 Oct →
nuke13–60.0423%30 Sept →
inferno13–40.0518%30 Sept →
inferno13–6-0.0010%30 Sept →
mirage8–130.017%29 Sept →
dust211–130.0028%29 Sept →
inferno8–13-0.0421%28 Sept →
ancient16–12-0.0217%27 Sept →
inferno4–13-0.0720%27 Sept →
nuke5–13-0.0311%26 Sept →
dust23–130.0320%26 Sept →
cache13–7-0.028%26 Sept →
mirage11–130.0324%26 Sept →
inferno10–13-0.0211%26 Sept →
mirage13–110.0715%26 Sept →
ancient13–00.0321%26 Sept →
dust215–15-0.0122%25 Sept →
cache13–110.0411%25 Sept →
mirage15–15-0.0513%24 Sept →
inferno16–13-0.0516%23 Sept →
nuke13–11-0.0418%23 Sept →
inferno12–16-0.0620%22 Sept →
mirage13–7-0.0323%21 Sept →
dust215–15-0.0619%19 Sept →
dust28–130.0218%19 Sept →
mirage14–160.0314%19 Sept →
inferno13–70.0216%19 Sept →
mirage13–20.0428%19 Sept →
inferno15–15-0.0410%18 Sept →

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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