Remia

Remia — CS2 Stats

CA76561198016398570[U:1:56132842]Steam profile ↗✓ No bans

48Tracked matches47%Win rate2023Tracked since
2,046Hours in CS14Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim59
Positioning51
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY20–18Last 3853%Win rateWWLLLLLWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.1pp headshot accuracy · +19ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 684ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 658ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 649ms

Newest first, from the last 38 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim5.9
Utility2.9
Positioning5.1
Opening Duels1.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 50% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 659ms 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

Aim5.9
Positioning5.1
Utility2.9
Mechanics7.7
Opening Duels3.1
Win Impact3.9

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 -0.00 → last ⅓ avg -0.01
Reaction time665ms+22ms
first ⅓ avg 644ms → last ⅓ avg 665ms
Headshot accuracy20.5%−3.6%
first ⅓ avg 24.1% → last ⅓ avg 20.5%

Rolling 5-match average across the last 38 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.11Best match rating · 13–2 · inferno, 11 Oct →
38%Best headshot accuracy · 11–13 · inferno, 28 Sept →
469msFastest reaction time · 8–13 · anubis, 9 Oct →
13–0Biggest win · anubis, 9 Feb →

Across the last 38 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 67% over 9mirageWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB115–645%-0.01
infernoS96–367%0.01
dust2A85–363%-0.03
anubis—43–175%0.01
cache—30–30%-0.06
nuke—21–150%0.03
train—10–10%-0.09

Across the last 38 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,329Lifetime kills
0.89K/D
2,367Matches
50.7%Match win rate · Top 25% of tracked players
49.7%Headshot % · Top 25% of tracked players
18.3%Shot accuracy · Top 10% of tracked players
7,228MVPs
1,268Hours (in match)
1,191Bombs planted
705Bombs defused

Most-used weapons

AK-4729,657
AWP5,103
P2502,288
Knife850

Lifetime map wins

7,050inferno
3,577nuke
2,867dust2
1,378train
1,133office
597cbble
256militia
187italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.0%Headshot accuracy
31.5%Accuracy (enemy spotted)
28.2%Spray accuracy
84.6%Counter-strafing
9.6°Preaim
659msReaction time
50.2%T opening success
34.7%CT opening success
0.34Enemies flashed / flash
4.5%Flash assists
8.21HE damage / grenade
2.00Flashes / 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 0.3421 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.6793% — 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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–20.1128%11 Oct →
inferno13–11-0.037%11 Oct →
mirage7–13-0.0128%11 Oct →
dust25–13-0.0425%11 Oct →
cache4–13-0.0528%11 Oct →
anubis8–13-0.0215%9 Oct →
dust214–16-0.0021%9 Oct →
mirage13–7-0.0516%9 Oct →
mirage6–130.0318%9 Oct →
dust213–2-0.0319%9 Oct →
dust213–11-0.0720%9 Oct →
nuke10–130.0321%29 Sept →
dust213–8-0.0121%29 Sept →
mirage11–13-0.0616%29 Sept →
mirage12–16-0.0215%29 Sept →
inferno13–40.0323%29 Sept →
dust211–13-0.0622%28 Sept →
inferno13–10-0.0522%28 Sept →
inferno11–13-0.0131%28 Sept →
cache4–13-0.1012%28 Sept →
mirage6–130.0121%28 Sept →
cache11–13-0.0329%28 Sept →
mirage13–4-0.0117%26 Sept →
inferno8–13-0.0113%26 Sept →
dust213–2-0.0415%23 Apr →
dust213–11-0.0521%23 Apr →
anubis13–70.0124%13 Feb →
train7–13-0.099%13 Feb →
mirage13–5-0.0225%13 Feb →
inferno13–6-0.0122%9 Feb →
anubis13–0-0.0026%9 Feb →
mirage13–4-0.0033%9 Feb →
nuke13–00.0418%9 Feb →
mirage6–13-0.0329%9 Feb →
anubis13–70.0519%9 Feb →
mirage13–90.0124%28 Sept →
inferno11–130.0238%28 Sept →
inferno13–110.0223%28 Sept →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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