VinfastPeek (friendly player)

VinfastPeek (friendly player) — CS2 Stats

VN76561198886192311[U:1:925926583]Steam profile ↗✓ No bans

783Tracked matches68%Win rate2021Tracked since
CSDB Rating6.0 SolidHybrid Rifler
FaceitLevel 9 · 1,534 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGVinfastPeek (friendly pla…FACEITLevel 9 · 1,534 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning59
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY61336Last 10061%Win rateTWWLLWWWWL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression5.0
Utility4.9
Positioning5.9
Opening Duels2.0
Clutch4.0

Strong CT-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.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim6.9
Positioning5.9
Utility4.9
Mechanics6.3
Opening Duels3.9
Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05−0.02
first ⅓ avg 0.07 → last ⅓ avg 0.05
Reaction time593ms+18ms
first ⅓ avg 574ms → last ⅓ avg 593ms
Headshot accuracy23.0%−3.5%
first ⅓ avg 26.5% → last ⅓ avg 23.0%

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.

Highlights

0.27Best rating — anubis 13–2
131Biggest win — dust2
10Longest win streak
16In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 72% over 18infernoWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
ancientS1813572%0.06
anubisA1810856%0.07
dust2A149564%0.06
vertigoA116555%0.04
nukeA95456%0.04
infernoB84450%0.03
cacheS64267%0.04
mirageB63350%0.04
trainS64267%0.13
overpass43175%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

58Matches
71%Win rate
1.58Avg K/D
88.3ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
33%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2383%1.7318.9
Dust21486%1.8018.6
Ancient875%1.4819.0
Inferno617%0.9613.3
Nuke333%0.9813.0
Anubis333%1.1915.7
Overpass1100%2.7119.0

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.

23.1%Headshot accuracy
30.9%Accuracy (enemy spotted)
35.4%Spray accuracy
78.2%Counter-strafing
9.1°Preaim
603msReaction time
14.4%T opening success
61.5%CT opening success
0.61Enemies flashed / flash
5.0%Flash assists
8.73HE damage / grenade
7.97Flashes / 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

    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 14.4231% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
vertigo8–80.0524%21 Aug
overpass9–60.2121%21 Aug
nuke9–30.1017%21 Aug
ancient11–13-0.0120%26 Jul
nuke0–13-0.020%26 Jul
vertigo13–60.0429%3 Jul
dust213–10.1321%13 Jun
ancient6–10.0836%13 Jun
ancient13–40.1624%10 Jun
vertigo5–130.0120%9 Jun
dust212–120.1724%3 Jun
nuke13–10-0.0623%2 Jun
cache13–40.0629%1 Jun
anubis13–70.1021%1 Jun
anubis13–30.0616%27 May
ancient9–13-0.0320%19 May
dust27–10-0.0518%14 May
dust213–90.1325%10 May
cache13–50.0329%8 May
dust213–60.0429%4 May
cache5–130.0024%4 May
cache13–30.1033%4 May
cache13–100.0623%4 May
vertigo11–130.0629%1 May
dust21–7-0.0126%1 May
cache12–12-0.0027%30 Apr
mirage10–13-0.0322%28 Apr
dust213–90.0125%28 Apr
dust213–60.1633%27 Apr
ancient13–90.0822%26 Apr
inferno13–90.0216%20 Apr
dust213–80.0513%20 Apr
mirage13–70.0222%20 Apr
mirage13–60.0724%20 Apr
overpass13–50.0141%19 Apr
inferno13–60.1031%19 Apr
ancient13–110.0723%17 Apr
ancient9–130.0224%17 Apr
anubis13–70.0218%12 Apr
inferno4–13-0.0128%12 Apr
nuke2–6-0.0111%12 Apr
inferno13–50.0724%11 Apr
vertigo4–130.0029%10 Apr
vertigo0–20.0633%10 Apr
anubis11–130.0127%9 Apr
anubis0–120.0432%9 Apr
nuke12–120.1115%9 Apr
train13–30.1642%9 Apr
dust25–130.0320%7 Apr
mirage12–120.1224%7 Apr
dust26–130.0420%5 Apr
ancient13–80.0922%5 Apr
overpass8–130.0925%4 Apr
anubis5–110.0625%4 Apr
anubis13–20.2723%3 Apr
inferno2–80.0712%3 Apr
mirage2–13-0.0343%3 Apr
anubis8–130.0235%1 Apr
ancient7–130.0224%1 Apr
nuke11–130.0435%1 Apr
vertigo13–70.088%1 Apr
anubis10–130.0918%1 Apr
ancient13–60.0623%31 Mar
nuke13–100.0936%31 Mar
dust213–80.0617%31 Mar
inferno10–13-0.0729%31 Mar
mirage13–90.0722%31 Mar
train13–60.1526%30 Mar
ancient13–100.0918%30 Mar
vertigo13–10.0223%29 Mar
anubis11–30.0526%29 Mar
ancient13–90.1024%29 Mar
train7–130.1428%28 Mar
anubis13–40.0624%28 Mar
vertigo13–20.0725%28 Mar
ancient12–10.1639%28 Mar
anubis6–120.0626%27 Mar
vertigo13–90.0527%27 Mar
nuke13–50.0016%27 Mar
ancient13–100.0528%26 Mar
train13–60.1730%26 Mar
anubis13–30.1630%26 Mar
ancient9–13-0.0116%25 Mar
vertigo13–80.0338%25 Mar
inferno13–30.0628%25 Mar
nuke7–30.1323%25 Mar
anubis10–130.0938%24 Mar
inferno9–130.0128%24 Mar
anubis11–130.0531%24 Mar
train13–90.1132%24 Mar
overpass13–50.0422%24 Mar
dust213–60.0023%24 Mar
anubis13–50.1421%24 Mar
ancient13–9-0.0226%24 Mar
ancient13–40.1032%23 Mar
anubis13–100.0222%23 Mar
anubis13–80.0523%22 Mar
ancient13–90.1029%22 Mar
dust213–70.0531%22 Mar
train12–120.0720%22 Mar

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →