reksa_90

reksa_90 — CS2 Stats

76561198032743881[U:1:72478153]Steam profile ↗✓ No bans

3,208Tracked matches33%Win rate2020Tracked since
5,621Hours in CS13Hrs last 2 wks
CSDB Rating3.8 LearningPositional Player
Premier CS Rating8,265Light Blue band · top ~63.2% of ranked players (population est.)
FaceitLevel 2 · 840 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,265 -7,762 29 Jul – 1 Nov · 29 days played
8,26516,464peak 16,46429 Jul1 Nov
Faceit ELO: 840 +0 31 Aug – 20 Sept · 2 observations
840840peak 84031 Aug20 Sept
16,464Peak Premier in tracked matches
840Highest Faceit ELO seen on CSDB
52Days played since 2026-07-28

Faceit ELO

  • At peak — 840
  • Next: Level 4 at 901 — 61 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-31
  • Level 2 first seen 2026-08-31

Premier CS Rating

  • 8,199 below peak (16,464)
  • -2,086 over 30 days · declining
  • -7,886 over 90 days
  • Next: Blue band at 10,000 — 1,735 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate29.1%41.3%41.8%12.7% short
Shot accuracy12.5%12.7%12.2%above
Kill/death ratio0.930.950.980.05 short
Match win rate43.8%42.6%43.3%meets

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGreksa_90FACEITLevel 2 · 840 ELOSTANDINGTop 97.9% of rankedPREMIER8,265 · Light Blue bandPEAK ELO840csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim48
Positioning49
Utility28

0–100 skill scores via Leetify.

Recent form

COLD36–62–2Last 10036%Win rateWWLLLLLLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −2.8pp headshot accuracy · −8ms reaction

Win rate −10pp 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 -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 647ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 666ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 670ms

Newest first, from the last 100 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 (+1.8 against its own average).

Aim4.8
Utility2.8
Positioning4.9
Opening Duels1.7
Clutch3.2

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

jL

Plays most like jL 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 673ms 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

Aim4.8
Positioning4.9
Utility2.8
Mechanics6.9
Opening Duels3.2
Win Impact0.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time663ms−1ms
first ⅓ avg 665ms → last ⅓ avg 663ms
Headshot accuracy16.8%+3.8%
first ⅓ avg 12.9% → last ⅓ avg 16.8%

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.

Personal bests

0.06Best match rating · 13–10 · inferno, 15 Aug →
40%Best headshot accuracy · 5–13 · dust2, 7 Oct →
406msFastest reaction time · 9–13 · inferno, 26 Oct →
13–3Biggest win · anubis, 4 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
7–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 50% over 16ancientWeakest map · 32% over 25
MapGradePlayedRecordWin rateAvg rating
ancientD258–1732%-0.05
infernoC197–1237%-0.04
nukeB168–850%-0.03
anubisD155–1033%-0.04
dust2D124–833%-0.05
cacheC114–736%-0.03
mirage—20–20%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

127,290Lifetime kills
0.93K/D
7,598Matches
43.8%Match win rate · Top 50% of Level 2 players
29.1%Headshot %
12.5%Shot accuracy
12,013MVPs
3,267Hours (in match)
8,566Bombs planted
1,175Bombs defused

Most-used weapons

Lifetime map wins

15,069inferno
9,350nuke
7,236dust2
2,446train
2,174office
1,965vertigo
1,418italy
583assault

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

Faceit stats

Combat

1,457Matches
48%Win rate
0.84Avg K/D
59.8ADR
33%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient23047%0.7911.9
Nuke21757%0.7911.5
Anubis18148%0.7611.8
Inferno17353%0.9113.0
Mirage9339%0.629.6
Dust27544%0.6610.8
Overpass5353%0.8111.6
Cache2035%0.6511.6

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.

17.4%Headshot accuracy
29.0%Accuracy (enemy spotted)
33.9%Spray accuracy
81.1%Counter-strafing
10.4°Preaim
673msReaction time
47.7%T opening success
37.6%CT opening success
0.35Enemies flashed / flash
2.3%Flash assists
10.05HE damage / grenade
1.86Flashes / 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 0.3516 — 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 37.5766% — below the 40% mark we flag

Spend your practice time on Ancient

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

32% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0314%2 Nov →
cache13–9-0.0510%2 Nov →
nuke14–16-0.0528%1 Nov →
dust28–13-0.098%1 Nov →
inferno8–130.019%31 Oct →
ancient4–130.027%31 Oct →
anubis10–13-0.0320%29 Oct →
inferno10–13-0.0427%26 Oct →
nuke13–6-0.096%26 Oct →
inferno9–13-0.0521%26 Oct →
nuke13–5-0.0327%25 Oct →
anubis7–130.0016%19 Oct →
ancient13–5-0.008%18 Oct →
nuke13–80.0216%18 Oct →
cache13–16-0.0421%15 Oct →
dust22–13-0.093%11 Oct →
nuke4–13-0.0513%11 Oct →
ancient1–13-0.0820%10 Oct →
inferno16–13-0.0813%10 Oct →
dust25–13-0.0540%7 Oct →
dust21–13-0.1513%7 Oct →
ancient14–16-0.0623%5 Oct →
dust213–110.0022%4 Oct →
anubis5–13-0.120%4 Oct →
nuke13–80.0425%3 Oct →
dust210–13-0.0123%2 Oct →
ancient7–13-0.0211%30 Sept →
nuke11–13-0.0221%30 Sept →
inferno7–13-0.0421%30 Sept →
dust213–7-0.0823%30 Sept →
ancient11–130.0017%26 Sept →
ancient7–13-0.0914%26 Sept →
anubis13–10-0.0216%26 Sept →
cache9–13-0.0717%26 Sept →
cache8–13-0.0621%24 Sept →
dust27–13-0.029%24 Sept →
mirage9–130.0112%24 Sept →
cache7–13-0.0520%24 Sept →
ancient5–13-0.0319%20 Sept →
inferno4–13-0.0821%19 Sept →
anubis15–15-0.0521%19 Sept →
anubis10–13-0.0210%18 Sept →
anubis13–7-0.0313%16 Sept →
ancient11–13-0.056%16 Sept →
inferno8–13-0.105%16 Sept →
cache2–13-0.0217%14 Sept →
mirage15–15-0.0213%13 Sept →
inferno13–70.0318%12 Sept →
anubis4–13-0.0519%12 Sept →
ancient6–13-0.039%9 Sept →
inferno13–9-0.0716%7 Sept →
inferno13–9-0.0025%7 Sept →
ancient16–12-0.0014%4 Sept →
anubis13–3-0.0320%4 Sept →
ancient7–13-0.0717%3 Sept →
nuke9–13-0.095%3 Sept →
ancient4–13-0.0920%3 Sept →
inferno13–10-0.0113%3 Sept →
inferno6–13-0.068%2 Sept →
inferno13–11-0.0922%29 Aug →
anubis8–13-0.0619%29 Aug →
cache13–100.0115%28 Aug →
nuke13–5-0.0319%28 Aug →
ancient8–13-0.0911%28 Aug →
cache24–28-0.0314%27 Aug →
inferno4–13-0.0624%26 Aug →
ancient5–13-0.099%25 Aug →
cache9–13-0.0316%25 Aug →
anubis13–5-0.0713%22 Aug →
dust213–4-0.0018%22 Aug →
ancient2–7-0.0925%21 Aug →
dust213–16-0.0619%20 Aug →
ancient4–13-0.0619%20 Aug →
ancient5–13-0.040%20 Aug →
anubis13–9-0.0623%19 Aug →
cache13–6-0.028%19 Aug →
dust213–90.026%17 Aug →
nuke8–130.0135%17 Aug →
ancient13–11-0.085%15 Aug →
inferno13–100.0619%15 Aug →
ancient11–13-0.0518%15 Aug →
inferno10–13-0.036%13 Aug →
nuke13–11-0.0212%13 Aug →
ancient13–110.038%13 Aug →
nuke9–130.0117%12 Aug →
cache13–7-0.003%12 Aug →
nuke13–60.007%12 Aug →
nuke8–13-0.0717%11 Aug →
inferno11–13-0.036%6 Aug →
ancient13–11-0.053%5 Aug →
anubis4–13-0.097%5 Aug →
ancient13–11-0.0513%4 Aug →
dust211–13-0.056%3 Aug →
nuke13–40.014%3 Aug →
nuke9–13-0.0922%31 Jul →
inferno10–13-0.0212%31 Jul →
ancient25–22-0.0915%29 Jul →
anubis7–130.0114%29 Jul →
inferno11–13-0.0513%28 Jul →
anubis3–13-0.0320%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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