⭕⃤ RekteoPapuh — CS2 Stats

ES76561198294917436[U:1:334651708]Steam profile ↗✓ No bans

1,793Tracked matches48%Win rate2020Tracked since

6,368Hours in CS19Hrs last 2 wks

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating25,307Top 25% of 29,473 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

CSDB Leaderboard#4876 of 46217 tracked

FaceitLevel 8 · 1,603 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

25,307Peak Premier on CSDB

1,603Peak Faceit ELO on CSDB

1Days observed since 2026-08-29

Faceit ELO

At peak — 1,603
Next: Level 9 at 1,751 — 148 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-29
Level 7 first seen 2026-08-29

Premier CS Rating

At peak — 25,307
Next: Gold band at 30,000 — 4,693 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-29
Pink band first seen 2026-08-29

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median	Level 9 median	vs Level 9
Headshot rate	37.2%	47.0%	48.5%	11.3% short
Shot accuracy	15.1%	12.7%	13.3%	above
Kill/death ratio	0.94	1.07	1.07	0.13 short
Match win rate	44.9%	46.4%	47.0%	2.2% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim76

Positioning56

Utility52

0–100 skill scores via Leetify.

Recent form

COLD53–41–6Last 10053%Win rateLWLLLLLLLW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.6

Aggression7.0

Utility5.2

Positioning5.6

Opening Duels2.7

Clutch2.0

Strong CT-side openerLimited 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.

Your pro match

Plays most like b1t 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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 52% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.6

Positioning5.6

Utility5.2

Mechanics5.9

Opening Duels2.7

Win Impact4.4

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time513ms−55ms

first ⅓ avg 568ms → last ⅓ avg 513ms

Headshot accuracy15.1%−2.1%

first ⅓ avg 17.1% → last ⅓ avg 15.1%

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 9–5

13–1Biggest win — inferno

9Longest win streak

6–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 78% over 9ancientWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	41	22–19	54%	0.01
mirage	A	16	10–6	63%	0.01
cache	B	13	6–7	46%	0.02
ancient	C	11	4–7	36%	-0.01
anubis	S	9	7–2	78%	-0.01
overpass	B	6	3–3	50%	-0.00
dust2	—	2	1–1	50%	-0.01
nuke	—	2	0–2	0%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

127,920Lifetime kills

0.94K/D

8,567Matches

44.9%Match win rate

37.2%Headshot %

15.1%Shot accuracy · Top 50% of Level 8 players

17,042MVPs

3,898Hours (in match)

6,651Bombs planted

1,707Bombs defused

Most-used weapons

AK-4734,081

M4A4 / M4A1-S16,656

AWP14,804

P2000 / USP-S7,604

Desert Eagle6,456

Glock-186,244

Knife4,103

MP93,354

FAMAS3,188

MAC-102,976

Lifetime map wins

16,219inferno

8,936dust2

2,845train

1,695nuke

1,422cbble

1,122vertigo

197lake

179office

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

Faceit stats

Combat

1,249Matches

54%Win rate

1.03Avg K/D

91.7ADR

35%Headshot %

Clutches & streaks

30%1v1 clutch win

31%1v2 clutch win

15Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	24	67%	1.12	18.5
Ancient	19	42%	1.17	18.3
Inferno	16	69%	1.22	18.3
Mirage	11	82%	1.17	16.4
Vertigo	5	40%	1.11	19.6
Train	5	60%	1.34	17.8
Cache	3	100%	1.92	21.0
Overpass	1	0%	1.23	16.0

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.

15.8%Headshot accuracy

35.8%Accuracy (enemy spotted)

41.4%Spray accuracy

76.7%Counter-strafing

9.0°Preaim

533msReaction time

30.3%T opening success

51.5%CT opening success

0.68Enemies flashed / flash

3.5%Flash assists

11.19HE damage / grenade

3.13Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1252 — below the 4 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 30.2607% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	-0.05	11%	27 Aug →
inferno	13–6	0.01	18%	27 Aug →
inferno	7–13	0.01	14%	25 Aug →
cache	10–13	0.01	13%	25 Aug →
mirage	6–13	-0.03	21%	24 Aug →
ancient	8–13	0.02	13%	24 Aug →
mirage	4–13	-0.05	24%	23 Aug →
inferno	8–13	0.01	21%	23 Aug →
ancient	4–13	0.03	20%	23 Aug →
mirage	13–7	0.07	16%	23 Aug →
cache	0–13	0.01	22%	23 Aug →
inferno	13–1	-0.02	24%	23 Aug →
dust2	13–5	0.01	14%	21 Aug →
anubis	9–3	0.02	26%	21 Aug →
inferno	13–10	0.02	12%	20 Aug →
inferno	10–13	-0.02	23%	18 Aug →
mirage	7–13	-0.08	9%	17 Aug →
inferno	15–15	0.00	13%	15 Aug →
mirage	11–13	-0.04	25%	14 Aug →
cache	4–13	0.04	9%	13 Aug →
anubis	16–14	0.01	18%	13 Aug →
inferno	7–9	-0.11	8%	13 Aug →
inferno	9–13	-0.07	3%	9 Aug →
inferno	13–6	0.09	16%	9 Aug →
dust2	11–13	-0.03	16%	7 Aug →
mirage	13–6	0.03	12%	1 Aug →
inferno	13–9	0.03	20%	30 Jul →
anubis	3–0	0.00	0%	30 Jul →
mirage	3–1	-0.03	0%	30 Jul →
cache	13–8	-0.05	11%	30 Jul →
mirage	13–3	0.08	16%	26 Jul →
inferno	13–5	0.04	17%	26 Jul →
cache	13–10	-0.02	13%	26 Jul →
inferno	13–4	0.06	13%	26 Jul →
ancient	2–13	-0.04	31%	26 Jul →
inferno	3–13	-0.00	16%	26 Jul →
inferno	8–13	0.01	21%	26 Jul →
inferno	12–16	0.05	16%	22 Jul →
inferno	3–13	-0.05	33%	19 Jul →
inferno	13–1	-0.02	0%	19 Jul →
cache	9–13	0.02	19%	19 Jul →
inferno	13–1	0.03	22%	19 Jul →
inferno	13–4	0.03	28%	12 Jul →
ancient	16–12	0.00	19%	12 Jul →
mirage	13–11	0.09	23%	12 Jul →
inferno	8–13	0.03	21%	10 Jul →
anubis	0–13	-0.07	13%	10 Jul →
anubis	13–8	-0.01	15%	10 Jul →
inferno	13–5	0.12	17%	10 Jul →
inferno	13–3	0.02	19%	10 Jul →
inferno	14–16	-0.03	12%	10 Jul →
mirage	13–5	0.04	12%	9 Jul →
cache	6–13	0.01	19%	9 Jul →
cache	13–10	0.03	29%	9 Jul →
mirage	13–8	0.00	9%	8 Jul →
mirage	7–1	0.08	25%	8 Jul →
inferno	8–8	-0.03	11%	7 Jul →
inferno	9–5	0.18	11%	7 Jul →
inferno	9–3	-0.05	7%	7 Jul →
inferno	9–3	0.13	35%	7 Jul →
anubis	16–13	-0.03	6%	2 Jul →
ancient	13–9	-0.08	20%	2 Jul →
inferno	8–8	0.02	11%	30 Jun →
inferno	16–14	0.02	20%	27 Jun →
inferno	3–13	0.01	21%	27 Jun →
inferno	15–15	-0.00	15%	27 Jun →
inferno	6–13	-0.07	14%	26 Jun →
ancient	11–13	0.00	9%	20 Jun →
overpass	13–8	0.01	19%	20 Jun →
nuke	11–13	-0.00	17%	20 Jun →
mirage	9–13	0.01	13%	20 Jun →
mirage	13–6	-0.00	8%	20 Jun →
overpass	13–8	0.02	20%	20 Jun →
mirage	1–13	-0.01	18%	20 Jun →
nuke	11–13	0.06	22%	20 Jun →
inferno	0–13	-0.08	67%	18 Jun →
inferno	13–11	0.02	21%	18 Jun →
ancient	11–13	-0.07	21%	13 Jun →
inferno	13–7	0.02	10%	13 Jun →
inferno	13–10	0.03	13%	13 Jun →
ancient	4–13	0.03	13%	13 Jun →
overpass	7–13	-0.04	20%	7 Jun →
overpass	13–10	0.02	16%	5 Jun →
overpass	9–13	-0.02	25%	3 Jun →
inferno	13–8	0.00	13%	3 Jun →
inferno	10–13	0.02	22%	30 May →
inferno	13–6	0.02	12%	30 May →
ancient	13–10	-0.05	6%	30 May →
overpass	9–13	-0.01	17%	28 May →
cache	12–12	-0.03	9%	25 May →
ancient	11–13	0.00	8%	23 May →
anubis	13–5	0.04	17%	23 May →
cache	12–12	0.06	20%	23 May →
cache	13–4	0.05	15%	23 May →
mirage	13–8	0.02	21%	23 May →
cache	13–8	0.03	23%	20 May →
cache	13–6	0.09	5%	16 May →
ancient	13–3	0.10	12%	10 May →
inferno	13–11	-0.01	14%	10 May →
anubis	13–10	0.03	20%	10 May →