reksa_90 — CS2 Stats

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

3,125Tracked matches47%Win rate2020Tracked since

5,552Hours in CS21Hrs last 2 wks

CSDB Rating4.0 Developing

Premier CS Rating15,442Purple band · top ~26.6% of ranked players (population est.)

CSDB Leaderboard#33848 of 58012 tracked

FaceitLevel 3 · 840 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,851), 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.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	29.0%	41.8%	42.7%	13.6% short
Shot accuracy	12.6%	11.9%	10.8%	above
Kill/death ratio	0.93	0.97	1.00	0.07 short
Match win rate	44.0%	43.5%	44.1%	meets

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim39

Positioning42

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateWLWWLLLLLW

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

Player DNA

Aim3.9

Aggression4.5

Utility3.4

Positioning4.2

Opening Duels1.3

Clutch3.2

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

Plays most like NiKo 74% playstyle similarity

Most alike: opening-fight frequency, 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. 651ms 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

Aim3.9

Positioning4.2

Utility3.4

Mechanics6.2

Opening Duels1.3

Win Impact3.9

Composite 4.0/10 (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-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time656ms−29ms

first ⅓ avg 685ms → last ⅓ avg 656ms

Headshot accuracy13.9%−4.3%

first ⅓ avg 18.2% → 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

0.12Best rating — anubis 13–3

13–0Biggest win — anubis

5Longest win streak

9–12In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 58% over 19infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	20	9–11	45%	-0.05
anubis	B	19	9–10	47%	-0.02
nuke	A	19	11–8	58%	-0.02
cache	C	18	7–11	39%	-0.03
inferno	D	15	5–10	33%	-0.04
dust2	D	6	2–4	33%	-0.04
mirage	—	3	2–1	67%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

126,230Lifetime kills

0.93K/D

7,511Matches

44.0%Match win rate · Top 50% of Level 3 players

29.0%Headshot %

12.6%Shot accuracy · Top 50% of Level 3 players

11,910MVPs

3,232Hours (in match)

8,458Bombs planted

1,163Bombs defused

Most-used weapons

AWP42,786

AK-4718,030

M4A4 / M4A1-S14,070

Desert Eagle7,364

P2000 / USP-S6,031

Glock-183,917

Galil AR3,718

SG 5532,510

AUG2,367

SSG 082,366

Lifetime map wins

14,927inferno

9,213nuke

7,161dust2

2,446train

2,174office

1,952vertigo

1,418italy

583assault

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

Faceit stats

Combat

1,409Matches

48%Win rate

0.85Avg K/D

59.8ADR

32%Headshot %

Clutches & streaks

36%1v1 clutch win

17%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	214	49%	0.80	11.9
Nuke	208	58%	0.80	11.5
Anubis	172	48%	0.77	11.8
Inferno	168	53%	0.91	13.1
Mirage	91	38%	0.62	9.5
Dust2	73	44%	0.66	10.7
Overpass	53	53%	0.81	11.6
Cache	16	31%	0.70	12.5

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.

14.1%Headshot accuracy

29.2%Accuracy (enemy spotted)

29.8%Spray accuracy

77.8%Counter-strafing

10.9°Preaim

651msReaction time

32.1%T opening success

37.9%CT opening success

0.42Enemies flashed / flash

3.3%Flash assists

9.21HE damage / grenade

2.93Flashes / 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.

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 14.1088% — below the 15% mark we flag
Aim Training →
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 0.4165 — below the 0.5 mark we flag
Grenade Lineups →
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 32.0817% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	-0.09	22%	29 Aug →
anubis	8–13	-0.06	19%	29 Aug →
cache	13–10	0.01	15%	28 Aug →
nuke	13–5	-0.03	19%	28 Aug →
ancient	8–13	-0.09	11%	28 Aug →
cache	24–28	-0.03	14%	27 Aug →
inferno	4–13	-0.06	24%	26 Aug →
ancient	5–13	-0.09	9%	25 Aug →
cache	9–13	-0.03	16%	25 Aug →
anubis	13–5	-0.07	13%	22 Aug →
dust2	13–4	-0.00	18%	22 Aug →
ancient	2–7	-0.09	25%	21 Aug →
dust2	13–16	-0.06	19%	20 Aug →
ancient	4–13	-0.06	19%	20 Aug →
ancient	5–13	-0.04	0%	20 Aug →
anubis	13–9	-0.06	23%	19 Aug →
cache	13–6	-0.02	8%	19 Aug →
dust2	13–9	0.02	6%	17 Aug →
nuke	8–13	0.01	35%	17 Aug →
ancient	13–11	-0.08	5%	15 Aug →
inferno	13–10	0.06	19%	15 Aug →
ancient	11–13	-0.05	18%	15 Aug →
nuke	9–13	0.01	17%	12 Aug →
cache	13–7	-0.00	3%	12 Aug →
nuke	13–6	0.00	7%	12 Aug →
nuke	8–13	-0.07	17%	11 Aug →
inferno	11–13	-0.03	6%	6 Aug →
ancient	13–11	-0.05	3%	5 Aug →
anubis	4–13	-0.09	7%	5 Aug →
ancient	13–11	-0.05	13%	4 Aug →
dust2	11–13	-0.05	6%	3 Aug →
nuke	13–4	0.01	4%	3 Aug →
nuke	9–13	-0.09	22%	31 Jul →
inferno	10–13	-0.02	12%	31 Jul →
ancient	25–22	-0.09	15%	29 Jul →
anubis	7–13	0.01	14%	29 Jul →
inferno	11–13	-0.05	13%	28 Jul →
anubis	3–13	-0.03	20%	28 Jul →
nuke	8–13	-0.02	11%	27 Jul →
ancient	5–13	-0.03	17%	27 Jul →
ancient	13–9	0.03	21%	26 Jul →
anubis	13–0	0.06	12%	26 Jul →
nuke	5–13	-0.05	14%	26 Jul →
anubis	13–8	-0.01	46%	26 Jul →
inferno	7–13	-0.04	22%	26 Jul →
anubis	11–13	-0.03	19%	25 Jul →
nuke	13–3	-0.01	36%	25 Jul →
ancient	13–8	-0.06	16%	25 Jul →
cache	6–13	-0.02	11%	25 Jul →
nuke	13–9	-0.04	4%	24 Jul →
anubis	7–3	-0.03	18%	24 Jul →
inferno	6–13	-0.07	16%	23 Jul →
ancient	13–10	-0.02	11%	23 Jul →
dust2	3–13	-0.11	13%	22 Jul →
anubis	1–13	-0.08	0%	22 Jul →
ancient	9–13	-0.02	14%	21 Jul →
anubis	8–13	-0.01	14%	21 Jul →
ancient	13–6	0.01	18%	20 Jul →
inferno	14–16	-0.05	26%	20 Jul →
nuke	13–8	-0.02	18%	20 Jul →
inferno	11–13	-0.03	20%	20 Jul →
cache	5–13	-0.11	14%	19 Jul →
nuke	7–13	-0.01	23%	18 Jul →
nuke	13–11	-0.06	12%	18 Jul →
cache	13–11	0.01	24%	18 Jul →
inferno	13–7	-0.04	18%	17 Jul →
ancient	7–13	-0.09	3%	17 Jul →
nuke	13–11	-0.10	36%	17 Jul →
cache	8–13	0.02	23%	16 Jul →
mirage	13–11	-0.10	19%	16 Jul →
ancient	11–13	-0.00	24%	15 Jul →
cache	10–13	-0.06	9%	15 Jul →
anubis	9–13	-0.04	8%	15 Jul →
cache	8–13	-0.06	24%	15 Jul →
nuke	13–10	0.07	26%	12 Jul →
anubis	13–3	0.05	15%	12 Jul →
cache	10–13	-0.04	10%	12 Jul →
inferno	11–13	-0.02	29%	12 Jul →
mirage	13–2	0.10	15%	12 Jul →
cache	11–13	-0.01	10%	12 Jul →
cache	4–13	-0.11	12%	11 Jul →
nuke	16–14	0.01	17%	11 Jul →
cache	10–13	0.00	39%	11 Jul →
anubis	13–3	0.12	21%	10 Jul →
nuke	13–5	0.09	19%	10 Jul →
inferno	13–4	0.01	18%	10 Jul →
ancient	13–8	-0.02	23%	10 Jul →
cache	13–10	-0.03	14%	9 Jul →
anubis	11–13	-0.02	13%	9 Jul →
inferno	13–7	-0.07	14%	9 Jul →
inferno	7–13	-0.06	11%	8 Jul →
cache	13–5	-0.02	6%	8 Jul →
anubis	6–3	-0.06	17%	8 Jul →
cache	13–5	-0.05	16%	7 Jul →
mirage	5–13	-0.08	20%	4 Jul →
anubis	4–13	-0.02	20%	4 Jul →
dust2	12–16	-0.05	15%	4 Jul →
ancient	11–13	-0.03	15%	4 Jul →
anubis	13–5	-0.01	23%	4 Jul →
nuke	12–16	-0.04	22%	2 Jul →