rOg — CS2 Stats

76561197982489169[U:1:22223441]

2,013Tracked matches34%Win rate2020Tracked since
CSDB Rating4.3 Developing
Premier CS Rating14,036Blue band · top ~33.5% of ranked players (population est.)
CSDB Leaderboard#21899 of 33698 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGrOgFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,036 · Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning47
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateWLWLLLWLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim5.4
Aggression6.1
Utility5.7
Positioning4.7
Opening Duels1.9
Clutch0.0

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-duel success, utility contribution.

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

Areas to improve

T-side openings. Opening success drops from 50% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim5.4
Positioning4.7
Utility5.7
Mechanics5.8
Opening Duels2.4
Win Impact0.0

Composite 4.3/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time628ms−56ms
first ⅓ avg 684ms → last ⅓ avg 628ms
Headshot accuracy13.9%+0.0%
first ⅓ avg 13.9% → 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

0.14Best rating — dust2 13–2
132Biggest win — dust2
5Longest win streak
79In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 63% over 19mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A1912763%-0.00
infernoB189950%-0.01
ancientC1771041%0.01
anubisA148657%-0.01
mirageD124833%-0.03
nukeD93633%-0.02
cacheC83538%-0.01
overpass21150%-0.01
vertigo110100%0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

3Matches
67%Win rate
0.84Avg K/D
77.9ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%0.628.0
Inferno1100%0.9518.0

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.

14.1%Headshot accuracy
33.8%Accuracy (enemy spotted)
35.0%Spray accuracy
76.2%Counter-strafing
10.4°Preaim
622msReaction time
25.5%T opening success
49.6%CT opening success
0.59Enemies flashed / flash
9.3%Flash assists
11.51HE damage / grenade
3.40Flashes / 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 14.1455% — 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 3.3966 — 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 25.5399% — 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.

33% 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
mirage13–8-0.0514%29 Aug
dust27–13-0.0610%28 Aug
dust213–40.0612%27 Aug
inferno9–130.0616%26 Aug
dust26–13-0.069%23 Aug
inferno11–130.0010%23 Aug
cache13–11-0.0324%23 Aug
ancient11–13-0.0314%22 Aug
inferno6–13-0.0220%21 Aug
dust213–70.0920%21 Aug
mirage14–16-0.0310%20 Aug
nuke16–12-0.0215%20 Aug
anubis7–130.0119%19 Aug
ancient5–13-0.082%19 Aug
inferno13–11-0.0013%19 Aug
ancient5–13-0.0515%19 Aug
inferno10–13-0.048%18 Aug
ancient9–13-0.0111%2 Aug
anubis10–130.0014%1 Aug
cache3–13-0.0219%1 Aug
nuke13–30.0216%1 Aug
dust211–13-0.0113%31 Jul
inferno13–70.0318%31 Jul
ancient7–13-0.0615%29 Jul
inferno16–14-0.0212%29 Jul
dust215–15-0.0614%27 Jul
inferno10–13-0.0416%27 Jul
anubis5–13-0.088%27 Jul
ancient13–80.0118%26 Jul
nuke1–13-0.0824%26 Jul
dust29–13-0.0112%26 Jul
dust214–16-0.069%25 Jul
mirage13–10-0.018%25 Jul
nuke11–130.0222%24 Jul
anubis8–130.0017%24 Jul
anubis15–150.0116%23 Jul
mirage9–13-0.055%23 Jul
cache13–100.0216%23 Jul
inferno15–15-0.057%22 Jul
mirage13–60.0314%21 Jul
inferno13–11-0.0611%21 Jul
vertigo13–70.000%21 Jul
dust213–8-0.0416%20 Jul
nuke1–13-0.0822%20 Jul
mirage9–13-0.059%20 Jul
cache13–100.0114%19 Jul
mirage14–16-0.0511%18 Jul
dust213–4-0.0713%18 Jul
mirage13–9-0.0514%17 Jul
ancient9–13-0.0210%17 Jul
nuke9–13-0.0314%16 Jul
nuke11–130.0211%16 Jul
mirage12–16-0.059%16 Jul
dust213–100.0218%15 Jul
ancient15–15-0.0112%15 Jul
ancient13–110.0520%15 Jul
anubis13–6-0.035%14 Jul
dust216–140.0118%14 Jul
anubis13–8-0.0016%13 Jul
ancient13–10-0.0310%13 Jul
nuke6–13-0.0518%12 Jul
anubis13–10-0.039%12 Jul
anubis13–3-0.049%12 Jul
ancient13–50.078%12 Jul
cache9–13-0.0416%11 Jul
anubis13–9-0.0312%10 Jul
inferno13–7-0.0116%10 Jul
dust216–12-0.039%9 Jul
anubis13–100.067%9 Jul
dust213–90.0323%8 Jul
cache12–120.0413%7 Jul
cache4–13-0.0723%7 Jul
cache4–130.0020%7 Jul
mirage2–13-0.013%6 Jul
ancient9–130.1415%6 Jul
dust213–100.0513%5 Jul
ancient10–13-0.0326%4 Jul
dust213–20.1412%3 Jul
inferno9–13-0.067%2 Jul
inferno13–20.1015%1 Jul
inferno13–2-0.0125%1 Jul
mirage9–13-0.027%1 Jul
ancient5–130.014%30 Jun
dust213–3-0.0014%28 Jun
ancient13–90.1112%28 Jun
inferno13–20.109%26 Jun
anubis13–70.0121%26 Jun
overpass13–80.0411%26 Jun
inferno13–16-0.0512%26 Jun
anubis4–13-0.0120%25 Jun
dust29–13-0.0223%24 Jun
ancient13–40.0719%24 Jun
inferno13–9-0.0011%23 Jun
dust216–14-0.0216%23 Jun
inferno9–13-0.0412%23 Jun
overpass7–13-0.066%22 Jun
anubis13–70.0213%21 Jun
ancient13–10-0.0011%21 Jun
mirage11–13-0.0514%21 Jun
nuke13–80.0412%21 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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