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Remiko — CS2 Stats

76561199802887072[U:1:1842621344]

543Tracked matches67%Win rate2025Tracked since
CSDB Rating5.1 Developing
Premier CS Rating18,902Purple band · top ~12.9% of ranked players (population est.)
CSDB Leaderboard#13517 of 28661 tracked
Ladder ranks via Leetify

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CSDB.GGRemikoPREMIER18,902 · Purple bandcsdb.gg/stats

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Performance scores

Aim53
Positioning45
Utility34

0–100 skill scores via Leetify.

Recent form

HOT53–45–2Last 10053%Win rateWWWWLWWLWL

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Aim5.3
Aggression6.8
Utility3.4
Positioning4.5
Opening Duels2.6
Clutch2.6

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

ropz

Plays most like ropz 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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 55% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms 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

Aim5.3
Positioning4.5
Utility3.4
Mechanics4.9
Opening Duels3.2
Win Impact10.0

Composite 5.1/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time641ms+9ms
first ⅓ avg 632ms → last ⅓ avg 641ms
Headshot accuracy16.4%−2.1%
first ⅓ avg 18.4% → last ⅓ avg 16.4%

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

0.18Best rating — inferno 13–5
13–0Biggest win — ancient
8Longest win streak
W4Current streak
4–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 69% over 13infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B3516–1946%-0.03
mirageA2314–961%-0.04
infernoC166–1038%-0.02
ancientS139–469%-0.02
cache—41–325%-0.00
nuke—22–0100%-0.06
train—21–150%-0.05
anubis—21–150%0.03
vertigo—11–0100%-0.03
office—11–0100%-0.06
overpass—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

79Matches
49%Win rate
0.98Avg K/D
64.4ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2741%0.9212.6
Dust22654%0.9112.7
Ancient1040%1.5014.1
Inferno862%0.9411.8
Anubis475%0.9015.0
Cache20%0.438.0
Nuke1100%0.609.0
Vertigo1100%1.0011.0

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.

17.0%Headshot accuracy
31.2%Accuracy (enemy spotted)
40.6%Spray accuracy
72.2%Counter-strafing
10.6°Preaim
635msReaction time
25.8%T opening success
55.3%CT opening success
0.39Enemies flashed / flash
5.0%Flash assists
5.98HE damage / grenade
6.21Flashes / 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 0.388 — 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 25.8496% — below the 40% mark we flag

Spend your practice time on Inferno

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 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.067%22 Aug →
nuke13–6-0.039%22 Aug →
dust213–11-0.036%22 Aug →
train13–2-0.0610%13 Aug →
dust211–13-0.0612%11 Aug →
dust216–120.029%9 Aug →
mirage13–50.0313%9 Aug →
mirage8–13-0.056%9 Aug →
ancient13–70.0226%9 Aug →
ancient8–130.0324%9 Aug →
vertigo13–8-0.0316%7 Aug →
ancient13–40.0212%6 Aug →
dust214–160.0726%6 Aug →
dust210–13-0.0414%6 Aug →
mirage7–13-0.097%6 Aug →
dust213–5-0.0610%6 Aug →
ancient13–00.0843%6 Aug →
dust24–130.0228%6 Aug →
dust213–50.1412%6 Aug →
inferno3–130.0224%6 Aug →
dust210–13-0.0235%6 Aug →
dust29–130.0428%6 Aug →
ancient13–3-0.055%6 Aug →
ancient13–11-0.019%5 Aug →
mirage16–130.0617%4 Aug →
dust213–7-0.0726%3 Aug →
inferno13–10.0133%2 Aug →
dust213–80.0113%2 Aug →
mirage13–10-0.0426%2 Aug →
dust213–30.0315%2 Aug →
mirage11–13-0.0611%2 Aug →
inferno13–9-0.034%1 Aug →
ancient16–14-0.084%26 Jul →
inferno7–13-0.0215%26 Jul →
mirage14–16-0.0823%25 Jul →
mirage13–9-0.0111%25 Jul →
dust213–5-0.054%25 Jul →
mirage13–10-0.0314%25 Jul →
ancient13–6-0.097%24 Jul →
inferno13–5-0.0414%24 Jul →
cache3–90.0213%24 Jul →
mirage9–13-0.1310%23 Jul →
dust213–40.0030%23 Jul →
dust212–16-0.0614%23 Jul →
nuke13–8-0.0913%23 Jul →
mirage13–10-0.059%23 Jul →
dust210–13-0.0914%23 Jul →
inferno6–13-0.0412%23 Jul →
inferno5–13-0.075%22 Jul →
dust213–90.0315%22 Jul →
inferno9–13-0.018%22 Jul →
dust211–13-0.0811%22 Jul →
inferno6–13-0.048%22 Jul →
dust213–10-0.0622%22 Jul →
dust212–16-0.1213%21 Jul →
dust211–13-0.0720%21 Jul →
mirage13–8-0.0820%18 Jul →
inferno13–7-0.0410%18 Jul →
mirage5–13-0.113%18 Jul →
ancient13–10-0.0711%18 Jul →
dust214–16-0.097%18 Jul →
mirage13–1-0.0511%18 Jul →
inferno3–13-0.0624%18 Jul →
ancient15–15-0.0813%18 Jul →
mirage11–13-0.0715%17 Jul →
inferno9–13-0.0924%17 Jul →
mirage13–11-0.0629%17 Jul →
anubis13–0-0.005%17 Jul →
inferno7–13-0.089%17 Jul →
mirage13–8-0.0715%17 Jul →
dust210–13-0.1315%17 Jul →
dust25–13-0.0614%16 Jul →
mirage9–13-0.1110%16 Jul →
dust213–9-0.0115%16 Jul →
dust213–30.0633%10 Jul →
cache10–130.0833%10 Jul →
dust27–13-0.0226%9 Jul →
dust24–13-0.116%9 Jul →
mirage12–6-0.005%9 Jul →
ancient9–13-0.0610%9 Jul →
office13–7-0.0616%8 Jul →
dust210–13-0.0329%7 Jul →
mirage13–8-0.0320%7 Jul →
train12–12-0.0413%7 Jul →
inferno13–50.1822%5 Jul →
anubis5–130.0725%5 Jul →
ancient13–80.0715%5 Jul →
ancient5–13-0.066%5 Jul →
overpass13–8-0.0518%5 Jul →
dust213–9-0.1019%5 Jul →
cache13–7-0.059%4 Jul →
dust213–4-0.0611%4 Jul →
dust213–10-0.0426%1 Jul →
cache8–13-0.0616%1 Jul →
inferno13–30.0543%29 Jun →
inferno2–80.0124%27 Jun →
mirage13–90.0426%27 Jun →
mirage4–130.0940%26 Jun →
dust210–130.1121%26 Jun →
dust210–13-0.0716%24 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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