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V1N1 00

V1N1 00 — CS2 Stats

76561199664474786[U:1:1704209058]Steam profile ↗✓ No bans

574Tracked matches39%Win rate2025Tracked since
CSDB Rating4.1 Developing
Premier CS Rating10,524Blue band · top ~52.1% of ranked players (population est.)
CSDB Leaderboard#17946 of 24700 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGV1N1 00FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER10,524 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning42
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWLLWWWWLTW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim5.0
Aggression3.0
Utility4.3
Positioning4.2
Opening Duels0.0
Clutch3.2

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 76% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 44% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim5.0
Positioning4.2
Utility4.3
Mechanics7.0
Opening Duels1.8
Win Impact1.4

Composite 4.1/10 (Developing), 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 rating-0.03−0.08
first ⅓ avg 0.05 → last ⅓ avg -0.03
Reaction time615ms−71ms
first ⅓ avg 685ms → last ⅓ avg 615ms
Headshot accuracy13.9%−4.6%
first ⅓ avg 18.5% → last ⅓ avg 13.9%

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

0.23Best rating — nuke 13–4
13–1Biggest win — mirage
7Longest win streak
7–15In matches decided by ≤2 rounds
17Overtime games

Map breakdown

nukeBest map · 71% over 14ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2516–964%0.01
dust2C229–1341%-0.01
nukeS1410–471%0.03
ancientD124–833%-0.01
infernoS128–467%-0.01
cacheB63–350%-0.03
anubisB63–350%-0.01
overpass—31–233%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

184Matches
52%Win rate
0.76Avg K/D
63.2ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
11%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7949%0.6911.4
Dust23250%0.8012.3
Ancient3158%0.7411.4
Anubis1338%0.6710.6
Inferno838%0.6711.1
Cache875%1.2016.4
Nuke757%1.3316.0
Overpass560%0.6312.2

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.

13.7%Headshot accuracy
31.9%Accuracy (enemy spotted)
28.0%Spray accuracy
81.6%Counter-strafing
10.1°Preaim
625msReaction time
13.5%T opening success
44.4%CT opening success
0.58Enemies flashed / flash
6.2%Flash assists
10.45HE damage / grenade
3.23Flashes / 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 13.7064% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 3.2285 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 13.4664% — 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 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–1-0.009%29 Aug →
ancient8–13-0.0315%29 Aug →
dust211–130.0019%28 Aug →
cache13–40.0215%28 Aug →
anubis13–3-0.0114%24 Aug →
nuke16–140.008%24 Aug →
mirage13–7-0.0611%24 Aug →
dust211–13-0.0622%22 Aug →
anubis15–15-0.0311%21 Aug →
nuke13–9-0.0212%17 Aug →
mirage6–13-0.0712%17 Aug →
inferno13–70.0512%16 Aug →
ancient13–8-0.056%15 Aug →
mirage14–16-0.0412%11 Aug →
anubis8–13-0.038%8 Aug →
mirage13–8-0.0115%6 Aug →
dust25–13-0.0819%4 Aug →
mirage11–130.0010%2 Aug →
mirage8–13-0.0313%2 Aug →
inferno13–4-0.0614%2 Aug →
ancient14–16-0.0113%31 Jul →
nuke4–13-0.0410%31 Jul →
cache13–11-0.0221%30 Jul →
dust26–13-0.0620%30 Jul →
cache7–13-0.0619%29 Jul →
mirage15–15-0.0719%24 Jul →
dust211–13-0.0616%23 Jul →
inferno5–13-0.0814%23 Jul →
dust210–13-0.0512%22 Jul →
ancient4–13-0.0511%22 Jul →
dust23–13-0.0719%20 Jul →
dust210–13-0.0718%20 Jul →
mirage5–130.0011%20 Jul →
dust28–13-0.037%19 Jul →
inferno16–120.0210%19 Jul →
anubis13–90.0110%18 Jul →
inferno11–13-0.0513%18 Jul →
cache11–13-0.0819%18 Jul →
dust214–16-0.0714%17 Jul →
mirage13–7-0.059%17 Jul →
inferno12–16-0.0515%17 Jul →
ancient8–13-0.067%17 Jul →
nuke6–13-0.0710%17 Jul →
dust213–11-0.0412%16 Jul →
inferno13–9-0.0316%16 Jul →
cache14–16-0.0210%14 Jul →
dust29–13-0.055%14 Jul →
dust21–13-0.1019%14 Jul →
mirage13–30.1121%14 Jul →
ancient7–20.0117%14 Jul →
nuke5–13-0.0813%13 Jul →
cache13–7-0.0413%13 Jul →
mirage13–50.048%12 Jul →
nuke12–16-0.0322%12 Jul →
dust213–10.0920%12 Jul →
dust213–9-0.0216%9 Jul →
mirage13–30.013%9 Jul →
inferno16–13-0.0220%8 Jul →
dust213–30.1028%7 Jul →
mirage2–130.0530%7 Jul →
ancient11–13-0.0515%4 Jul →
inferno13–60.0316%3 Jul →
nuke13–70.0123%3 Jul →
dust213–100.0428%3 Jul →
mirage16–14-0.078%30 Jun →
mirage13–70.0115%30 Jun →
nuke13–7-0.0416%30 Jun →
ancient9–130.0319%29 Jun →
mirage13–90.1838%28 Jun →
ancient14–160.0817%28 Jun →
mirage16–120.0619%28 Jun →
dust213–60.0829%28 Jun →
inferno13–5-0.039%26 Jun →
mirage11–13-0.0629%26 Jun →
overpass14–160.0012%25 Jun →
anubis8–13-0.0210%25 Jun →
mirage13–40.0421%25 Jun →
mirage14–16-0.0611%24 Jun →
dust28–13-0.0413%23 Jun →
inferno5–13-0.0211%22 Jun →
nuke13–40.2324%21 Jun →
dust213–50.1439%21 Jun →
nuke13–80.1223%21 Jun →
overpass13–110.0416%20 Jun →
mirage13–60.1131%20 Jun →
overpass9–13-0.016%20 Jun →
anubis13–60.0117%20 Jun →
dust213–60.1035%18 Jun →
mirage13–80.0416%18 Jun →
dust213–70.0620%18 Jun →
nuke13–60.0832%18 Jun →
mirage13–70.0515%17 Jun →
ancient0–6-0.110%17 Jun →
nuke13–60.0912%17 Jun →
inferno13–60.0820%17 Jun →
nuke13–100.1721%16 Jun →
nuke16–130.0111%14 Jun →
ancient13–110.089%14 Jun →
mirage13–20.0211%14 Jun →
ancient13–110.0917%14 Jun →

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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