IV — CS2 Stats

76561198128066856[U:1:167801128]

1,433Tracked matches50%Win rate2020Tracked since
CSDB Rating5.8 SolidHybrid Rifler
FaceitLevel 10 · 2,011 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGIVFACEITLevel 10 · 2,011 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning48
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY53416Last 10053%Win rateWLWTLLLWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim7.9
Aggression5.8
Utility4.5
Positioning4.8
Opening Duels1.6
Clutch5.0

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 88% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 46% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim7.9
Positioning4.8
Utility4.5
Mechanics7.2
Opening Duels2.0
Win Impact5.0

Composite 5.8/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time544ms−1ms
first ⅓ avg 545ms → last ⅓ avg 544ms
Headshot accuracy17.5%−0.4%
first ⅓ avg 17.9% → last ⅓ avg 17.5%

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

0.22Best rating — train 13–2
130Biggest win — cache
5Longest win streak
44In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 71% over 7mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2213959%0.01
ancientB189950%0.00
infernoB168850%0.03
nukeC146843%0.04
anubisS107370%0.04
mirageC83538%0.01
overpassS75271%-0.00
cache31233%0.04
eldorado1010%0.00
train110100%0.22

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,036Matches
51%Win rate
1.20Avg K/D
78.1ADR
39%Headshot %

Clutches & streaks

45%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient7447%1.1515.8
Dust27148%1.1215.7
Mirage5848%1.0614.6
Inferno4459%1.0415.3
Anubis3342%1.0814.6
Nuke2462%1.2116.6
Train1040%1.0415.4
Vertigo838%1.0615.5

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.

16.7%Headshot accuracy
35.7%Accuracy (enemy spotted)
37.0%Spray accuracy
82.2%Counter-strafing
7.6°Preaim
555msReaction time
27.1%T opening success
46.0%CT opening success
0.45Enemies flashed / flash
4.9%Flash assists
11.81HE damage / grenade
8.90Flashes / 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 0.4457 — 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 27.1026% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–120.0213%4 Aug
dust210–13-0.0220%24 Jul
nuke13–50.0317%24 Jul
mirage15–150.0112%24 Jul
inferno7–13-0.0311%23 Jul
inferno4–9-0.0528%23 Jul
eldorado5–90.0014%21 Jul
nuke9–30.227%21 Jul
inferno9–40.1316%21 Jul
dust213–10-0.045%20 Jul
cache5–130.0333%5 Jul
dust24–00.0625%5 Jul
nuke15–15-0.0128%5 Jul
nuke13–70.1021%5 Jul
inferno13–90.0428%5 Jul
inferno16–140.0215%4 Jul
mirage7–13-0.0320%4 Jul
dust28–130.0322%4 Jul
mirage10–13-0.0318%4 Jul
ancient13–50.0011%4 Jul
cache13–00.0711%4 Jul
cache12–120.0411%4 Jul
nuke8–130.0013%3 Jul
ancient0–4-0.0140%3 Jul
mirage10–13-0.0013%1 Jul
mirage15–150.049%1 Jul
dust26–130.0117%30 Jun
dust214–16-0.0117%18 Jun
mirage13–110.0526%17 Jun
dust213–60.0510%17 Jun
inferno16–120.0115%17 Jun
nuke9–13-0.0117%7 Jun
dust22–13-0.0614%7 Jun
mirage13–50.0416%7 Jun
nuke13–50.0310%7 Jun
anubis6–130.0023%29 May
ancient4–130.0217%29 May
dust213–60.0117%29 May
inferno9–130.0219%25 May
nuke15–150.0717%24 May
ancient1–13-0.0624%24 May
overpass13–100.0116%23 May
nuke9–13-0.0417%23 May
ancient4–13-0.0316%21 May
ancient13–40.077%21 May
dust26–13-0.1133%21 May
ancient13–20.0336%21 May
ancient10–130.0331%20 May
anubis13–20.1029%20 May
anubis16–14-0.0310%13 May
inferno3–13-0.0513%11 May
dust213–10.0418%11 May
inferno10–130.0523%6 May
nuke10–13-0.0120%6 May
dust213–7-0.0221%5 May
nuke13–110.0716%5 May
ancient13–8-0.0314%1 May
inferno4–130.0415%1 May
ancient8–13-0.0113%27 Apr
anubis13–60.1114%27 Apr
anubis13–70.0414%26 Apr
inferno13–90.0620%26 Apr
dust211–130.0618%25 Apr
ancient13–2-0.0013%23 Apr
overpass13–70.0312%23 Apr
ancient13–100.0317%21 Apr
overpass13–50.0126%17 Apr
inferno13–20.0716%13 Apr
inferno14–160.0514%13 Apr
anubis13–100.0417%13 Apr
dust213–10-0.0313%13 Apr
ancient13–30.0816%12 Apr
ancient9–13-0.0123%12 Apr
anubis13–3-0.027%12 Apr
dust213–10-0.0520%7 Apr
inferno11–13-0.0325%5 Apr
overpass13–6-0.0610%5 Apr
ancient15–15-0.0215%4 Apr
dust27–130.0126%29 Mar
dust213–20.0515%29 Mar
dust213–8-0.0220%18 Mar
dust213–60.0218%18 Mar
ancient13–8-0.0413%17 Mar
overpass10–13-0.0517%11 Mar
ancient13–30.0710%10 Mar
nuke10–130.0621%8 Mar
ancient8–13-0.0511%5 Mar
inferno9–20.2232%4 Mar
train13–20.2224%4 Mar
dust213–10.1516%4 Mar
anubis7–130.0728%2 Mar
nuke5–130.0114%2 Mar
nuke16–130.0414%1 Mar
dust25–130.0525%1 Mar
anubis3–130.0110%1 Mar
overpass8–130.0023%28 Feb
overpass13–70.0517%28 Feb
anubis16–130.0819%27 Feb
inferno13–5-0.0011%27 Feb
mirage13–60.0026%26 Feb

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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