VAMO VAMO VAMO

VAMO VAMO VAMO — CS2 Stats

76561199379043712[U:1:1418777984]Steam profile ↗✓ No bans

469Tracked matches50%Win rate2022Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating18,529Purple band · top ~14.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (3 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: 18,529 +10,511 7 Aug – 1 Nov · 43 days played
7,24918,529peak 18,5297 Aug1 Nov
18,529Peak Premier in tracked matches
63Days played since 2025-08-03

Premier CS Rating

  • At peak — 18,529
  • +2,131 over 30 days · improving
  • Next: Pink band at 20,000 — 1,471 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-27
  • Blue band first seen 2026-09-27

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

Share this profile

CSDB.GGVAMO VAMO VAMOFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,529 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning67
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateLWLLWWWWLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +1.4pp headshot accuracy · +31ms reaction

Win rate up 20pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 566ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

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 (+1.6 against its own average).

Aim7.6
Utility6.2
Positioning6.7
Opening Duels4.4
Clutch3.0

Strong T-side opener

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 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 73% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 73% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 560ms 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

Aim7.6
Positioning6.7
Utility6.2
Mechanics6.8
Opening Duels6.2
Win Impact5.0

Composite 6.7/10 (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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time560ms−74ms
first ⅓ avg 634ms → last ⅓ avg 560ms
Headshot accuracy17.3%−2.6%
first ⅓ avg 19.9% → last ⅓ avg 17.3%

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

0.16Best match rating · 13–4 · inferno, 26 Dec →
71%Best headshot accuracy · 0–7 · dust2, 18 Dec →
453msFastest reaction time · 13–10 · mirage, 27 Oct →
13–2Biggest win · overpass, 10 Dec →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 59% over 17ancientWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB2110–1148%0.01
ancientD186–1233%0.01
infernoA1710–759%0.02
nukeB157–847%0.01
dust2C135–838%-0.00
anubis—41–325%0.00
cache—31–233%-0.03
overpass—33–0100%0.08
dogtown—30–30%-0.00
train—22–0100%0.06
brewery—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

117Matches
50%Win rate
1.20Avg K/D
83.2ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
26%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2438%1.1816.4
Nuke1968%1.2315.7
Dust21844%1.1516.6
Ancient1735%1.2317.7
Inferno944%1.0515.4
Train771%1.1617.6
Anubis650%0.9215.5
Overpass10%0.7112.0

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.

17.3%Headshot accuracy
36.1%Accuracy (enemy spotted)
32.5%Spray accuracy
80.6%Counter-strafing
7.9°Preaim
560msReaction time
73.0%T opening success
39.4%CT opening success
0.65Enemies flashed / flash
6.1%Flash assists
9.58HE damage / grenade
9.56Flashes / 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. Advanced Mechanics

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

    CT opening duels 39.4495% — below the 40% mark we flag

Spend your practice time on Ancient

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache2–13-0.105%1 Nov →
mirage13–10-0.0226%27 Oct →
dust27–13-0.0716%27 Oct →
ancient6–130.0110%26 Oct →
nuke13–110.0623%26 Oct →
cache13–70.0220%16 Oct →
inferno13–70.0310%9 Oct →
nuke13–110.0620%3 Oct →
nuke7–130.0735%3 Oct →
anubis13–3-0.0112%2 Oct →
inferno13–100.0719%1 Oct →
dust216–14-0.0215%1 Oct →
ancient10–130.0615%1 Oct →
dust213–110.0919%29 Sept →
mirage10–130.0413%29 Sept →
mirage13–9-0.0918%29 Sept →
anubis10–130.0417%28 Sept →
mirage6–13-0.0213%28 Sept →
mirage13–160.0514%28 Sept →
mirage10–130.0122%27 Sept →
mirage13–80.0013%26 Sept →
inferno10–130.0614%25 Sept →
dust211–130.0120%19 Sept →
ancient13–30.0421%19 Sept →
mirage5–13-0.0913%19 Sept →
mirage13–110.0019%15 Aug →
ancient16–140.0519%15 Aug →
cache13–160.0022%25 Jul →
nuke13–11-0.0320%21 Jul →
anubis4–130.0110%21 Jul →
dust213–6-0.0015%16 Jul →
mirage1–13-0.0913%15 Jul →
nuke10–130.0331%15 Jul →
nuke13–100.0813%17 May →
mirage13–40.0922%8 Apr →
dust23–13-0.0228%28 Mar →
anubis8–13-0.0411%7 Feb →
dust213–70.0026%6 Feb →
ancient11–130.0623%18 Jan →
mirage13–110.0316%3 Jan →
mirage13–50.0617%2 Jan →
overpass13–60.1226%31 Dec →
inferno13–60.0829%29 Dec →
nuke13–40.0824%29 Dec →
inferno13–40.1615%26 Dec →
dust20–70.0171%18 Dec →
nuke7–130.0123%16 Dec →
nuke11–130.0312%12 Dec →
overpass13–20.0327%10 Dec →
ancient13–8-0.0221%9 Dec →
ancient13–40.1010%9 Dec →
mirage15–150.0318%7 Dec →
nuke3–13-0.0314%3 Dec →
ancient9–13-0.0319%3 Dec →
nuke16–140.0013%2 Dec →
mirage9–13-0.0018%2 Dec →
nuke10–13-0.0424%28 Nov →
ancient4–13-0.0814%28 Nov →
train13–50.1214%28 Nov →
dust215–15-0.0014%26 Nov →
overpass13–90.1016%17 Nov →
inferno9–30.0325%5 Nov →
inferno1–8-0.0236%26 Oct →
ancient6–130.0319%25 Oct →
inferno13–80.0322%29 Sept →
mirage5–13-0.0319%27 Sept →
inferno9–13-0.0512%15 Sept →
dogtown4–90.0336%13 Sept →
inferno6–9-0.0612%12 Sept →
nuke3–13-0.0516%3 Sept →
inferno6–13-0.0213%31 Aug →
dust27–13-0.0318%28 Aug →
ancient15–150.0212%23 Aug →
inferno13–11-0.0122%23 Aug →
mirage11–130.0412%22 Aug →
nuke7–9-0.1323%22 Aug →
inferno13–90.0338%22 Aug →
inferno6–9-0.0336%22 Aug →
ancient13–60.0014%20 Aug →
mirage16–120.0514%15 Aug →
mirage13–30.0521%15 Aug →
ancient2–11-0.064%15 Aug →
ancient10–130.0234%13 Aug →
inferno8–80.0217%13 Aug →
mirage9–130.0438%13 Aug →
dogtown8–8-0.0816%10 Aug →
brewery8–8-0.0127%10 Aug →
train13–60.0117%7 Aug →
mirage13–30.0614%7 Aug →
ancient7–130.1120%7 Aug →
nuke13–30.0413%6 Aug →
ancient9–130.0314%6 Aug →
dust213–10-0.0413%6 Aug →
dust26–110.0223%6 Aug →
ancient3–13-0.0729%6 Aug →
dust25–130.0119%5 Aug →
inferno13–70.0613%4 Aug →
ancient13–7-0.0417%3 Aug →
inferno13–50.0419%3 Aug →
dogtown8–80.0423%3 Aug →

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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