『J』『A』『V』『I』 — CS2 Stats

76561198386470412[U:1:426204684]✓ No bans

2,881Tracked matches60%Win rate2020Tracked since
CSDB Rating5.0 Developing
Premier CS Rating18,299Purple band · top ~15.3% of ranked players (population est.)
CSDB Leaderboard#13382 of 26435 tracked
FaceitLevel 5 · 1,210 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GG『J』『A』『V』『I』FACEITLevel 5 · 1,210 ELOSTANDINGTop 67.6% of rankedPREMIER18,299 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning42
Utility52

0–100 skill scores via Leetify.

Recent form

HOT54442Last 10054%Win rateWWWWLWWWWW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating

Player DNA

Aim5.6
Aggression5.0
Utility5.2
Positioning4.2
Opening Duels1.5
Clutch4.2

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 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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 49% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.6
Positioning4.2
Utility5.2
Mechanics4.3
Opening Duels2.4
Win Impact8.3

Composite 5.0/10 (Developing), 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 time582ms−38ms
first ⅓ avg 620ms → last ⅓ avg 582ms
Headshot accuracy18.7%−4.7%
first ⅓ avg 23.3% → last ⅓ avg 18.7%

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

0.17Best rating — mirage 13–4
131Biggest win — dust2
5Longest win streak
W4Current streak
136In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 67% over 9mirageWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB23121152%0.00
dust2A2112957%0.00
ancientB147750%-0.04
mirageC125742%-0.02
cacheA117464%-0.01
anubisB105550%0.00
nukeS96367%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

290Matches
50%Win rate
0.98Avg K/D
80.0ADR
43%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8642%0.9314.4
Dust26265%0.9615.1
Ancient3441%1.0515.5
Inferno3266%1.1216.4
Nuke3145%1.1215.2
Anubis2330%0.7613.3
Overpass1450%1.0014.6
Train650%0.7410.8

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.

19.6%Headshot accuracy
32.2%Accuracy (enemy spotted)
31.0%Spray accuracy
69.5%Counter-strafing
9.7°Preaim
587msReaction time
22.3%T opening success
49.4%CT opening success
0.46Enemies flashed / flash
4.2%Flash assists
8.94HE damage / grenade
5.75Flashes / 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. 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 0.4611 — below the 0.5 mark we flag

    Grenade Lineups
  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 22.3272% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0734%28 Aug
dust213–10.0023%28 Aug
dust213–110.0221%28 Aug
ancient16–120.0323%27 Aug
inferno10–130.0019%27 Aug
inferno16–14-0.0217%27 Aug
cache13–60.0112%27 Aug
dust216–14-0.0223%27 Aug
dust213–9-0.0322%27 Aug
cache13–110.0320%27 Aug
mirage7–13-0.0914%27 Aug
cache1–13-0.070%27 Aug
inferno11–13-0.0621%26 Aug
mirage14–160.0025%26 Aug
dust213–60.035%26 Aug
nuke13–9-0.0017%26 Aug
mirage7–13-0.0216%25 Aug
inferno13–70.0618%25 Aug
ancient5–130.0215%25 Aug
ancient16–12-0.0324%25 Aug
ancient13–16-0.059%24 Aug
mirage13–3-0.0220%24 Aug
nuke9–130.0522%23 Aug
anubis5–130.0322%23 Aug
inferno13–10-0.0333%23 Aug
mirage13–40.1726%23 Aug
mirage6–13-0.1222%22 Aug
inferno16–13-0.0724%22 Aug
ancient13–5-0.038%22 Aug
dust210–13-0.0217%22 Aug
ancient2–13-0.090%22 Aug
dust28–13-0.0222%22 Aug
inferno13–40.1621%21 Aug
nuke13–110.0221%21 Aug
inferno13–40.1131%21 Aug
nuke13–11-0.0122%18 Aug
inferno13–9-0.0721%17 Aug
anubis5–13-0.0020%16 Aug
mirage13–9-0.0421%16 Aug
mirage8–13-0.0627%16 Aug
anubis13–80.0519%16 Aug
dust213–11-0.0311%16 Aug
cache10–130.0614%14 Aug
mirage6–13-0.0216%14 Aug
mirage13–8-0.0613%14 Aug
cache13–80.0534%13 Aug
dust213–100.0216%13 Aug
inferno13–50.0324%13 Aug
cache8–130.0216%13 Aug
dust29–13-0.0847%13 Aug
inferno11–130.0138%12 Aug
ancient2–13-0.1214%12 Aug
inferno15–150.0817%12 Aug
nuke13–30.0115%12 Aug
anubis2–13-0.08100%12 Aug
ancient5–13-0.0315%12 Aug
inferno13–10-0.0414%12 Aug
mirage7–13-0.0216%12 Aug
inferno15–150.0217%11 Aug
dust213–60.0624%11 Aug
cache13–70.0319%11 Aug
ancient16–14-0.0015%11 Aug
anubis13–10.0430%11 Aug
anubis9–13-0.0326%10 Aug
nuke10–13-0.0215%10 Aug
dust213–100.0622%10 Aug
dust210–130.0319%10 Aug
ancient13–1-0.0311%9 Aug
cache13–11-0.0219%9 Aug
dust27–13-0.0710%9 Aug
cache7–13-0.0431%9 Aug
anubis13–60.0528%9 Aug
inferno8–13-0.0635%8 Aug
nuke13–50.0526%8 Aug
anubis13–20.0239%7 Aug
inferno4–13-0.0610%6 Aug
inferno14–160.0114%6 Aug
ancient13–5-0.0414%6 Aug
inferno11–13-0.058%6 Aug
inferno8–13-0.0117%6 Aug
mirage13–8-0.0024%5 Aug
nuke8–130.0117%5 Aug
dust213–70.0424%5 Aug
dust210–130.0017%5 Aug
anubis11–13-0.0415%4 Aug
inferno13–70.0117%4 Aug
dust216–140.0116%4 Aug
dust210–130.0125%4 Aug
dust29–13-0.0127%4 Aug
nuke13–80.028%3 Aug
dust26–130.0918%3 Aug
inferno13–40.0233%3 Aug
dust213–7-0.0027%3 Aug
ancient7–13-0.0225%3 Aug
ancient0–13-0.19100%3 Aug
inferno7–13-0.0144%3 Aug
cache13–11-0.0822%2 Aug
inferno13–2-0.0124%2 Aug
ancient13–11-0.0114%2 Aug
anubis13–50.0110%2 Aug

Match data via Leetify.

Milestones

1,000 Matches
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