ReKzo — CS2 Stats

76561198977652455[U:1:1017386727]

1,581Tracked matches43%Win rate2022Tracked since

3,313Hours in CS61Hrs last 2 wks

CSDB Rating6.6 SolidHybrid Rifler

FaceitLevel 10 · 2,535 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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 10 median
Headshot rate	56.2%	51.9%
Shot accuracy	4.3%	13.7%
Kill/death ratio	1.09	1.08
Match win rate	47.8%	48.7%

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Performance scores

Aim95

Positioning50

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLLLWWWWWLL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim9.5

Aggression5.6

Utility6.2

Positioning5.0

Opening Duels1.1

Clutch4.0

Sharp aimerEffective flashes

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 93% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: 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

Strengths

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 45 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.5

Positioning5.0

Utility6.2

Mechanics8.3

Opening Duels1.2

Win Impact2.8

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time505ms−16ms

first ⅓ avg 521ms → last ⅓ avg 505ms

Headshot accuracy25.6%+2.3%

first ⅓ avg 23.3% → last ⅓ avg 25.6%

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

0.16Best rating — mirage 13–3

13–1Biggest win — mirage

8Longest win streak

L3Current streak

6–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 80% over 5trainWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	43	22–21	51%	0.03
ancient	A	16	9–7	56%	0.01
anubis	A	11	7–4	64%	0.03
vertigo	B	8	4–4	50%	0.03
dust2	B	6	3–3	50%	0.01
train	D	6	2–4	33%	0.00
nuke	S	5	4–1	80%	0.04
inferno	—	3	1–2	33%	0.02
office	—	1	0–1	0%	-0.10
cbble_d	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Lifetime stats

93,227Lifetime kills

1.09K/D · Top 50% of Level 10 players

3,353Matches

47.8%Match win rate

56.2%Headshot % · Top 50% of Level 10 players

4.3%Shot accuracy

12,264MVPs

8,684Hours (in match)

3,464Bombs planted

2,826Bombs defused

Most-used weapons

AK-4743,434

M4A4 / M4A1-S14,839

Desert Eagle8,353

AWP6,111

P2000 / USP-S4,472

Glock-182,851

MP92,631

Knife2,219

MAC-101,895

Galil AR1,379

Lifetime map wins

4,128inferno

3,793vertigo

2,545nuke

1,787dust2

1,006train

172lake

91cbble

21office

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

Faceit stats

Combat

1,414Matches

51%Win rate

1.11Avg K/D

77.0ADR

51%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	452	51%	1.07	15.1
Ancient	298	50%	1.14	16.0
Anubis	236	56%	1.18	16.3
Inferno	100	48%	1.04	14.9
Nuke	84	51%	1.07	15.2
Vertigo	84	58%	1.24	16.2
Dust2	40	42%	0.99	13.4
Train	37	51%	1.21	15.4

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.

25.0%Headshot accuracy

40.8%Accuracy (enemy spotted)

41.2%Spray accuracy

87.5%Counter-strafing

7.2°Preaim

505msReaction time

29.4%T opening success

39.5%CT opening success

0.72Enemies flashed / flash

6.7%Flash assists

7.51HE damage / grenade

14.58Flashes / 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.

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 29.3521% — below the 40% mark we flag

Spend your practice time on Train

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

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	6–13	0.02	37%	26 Aug →
mirage	3–13	-0.06	33%	23 Aug →
mirage	3–13	-0.04	21%	23 Aug →
mirage	13–6	0.03	15%	19 Aug →
anubis	13–11	-0.04	22%	15 Aug →
nuke	13–6	0.04	27%	14 Aug →
dust2	13–7	0.06	50%	14 Aug →
ancient	13–9	-0.00	21%	11 Aug →
mirage	5–13	-0.06	17%	10 Aug →
mirage	7–13	0.09	38%	9 Aug →
anubis	13–6	0.01	16%	9 Aug →
ancient	13–4	0.07	26%	9 Aug →
mirage	6–13	0.09	15%	2 Jul →
train	11–13	0.00	21%	29 Jun →
ancient	13–10	0.05	31%	28 Jun →
mirage	14–16	0.01	23%	26 Jun →
mirage	13–10	0.02	18%	24 Jun →
mirage	9–13	0.06	25%	23 Jun →
mirage	13–1	0.13	30%	22 Jun →
train	6–13	-0.02	34%	20 Jun →
mirage	5–13	-0.01	28%	17 Jun →
dust2	4–13	0.00	28%	17 Jun →
mirage	10–13	-0.05	21%	16 Jun →
ancient	7–13	0.02	17%	16 Jun →
mirage	13–4	0.11	24%	16 Jun →
vertigo	10–13	0.03	32%	15 Jun →
vertigo	13–9	-0.00	23%	15 Jun →
vertigo	13–5	0.12	23%	15 Jun →
mirage	13–16	0.01	21%	15 Jun →
mirage	4–13	-0.06	22%	15 Jun →
train	6–13	-0.04	27%	15 Jun →
mirage	13–3	0.16	39%	15 Jun →
anubis	4–13	-0.01	21%	15 Jun →
vertigo	14–16	0.03	28%	14 Jun →
mirage	4–13	-0.00	14%	14 Jun →
mirage	13–2	0.03	16%	14 Jun →
mirage	10–13	-0.02	16%	14 Jun →
mirage	13–6	0.08	18%	14 Jun →
anubis	13–11	0.08	33%	14 Jun →
inferno	11–13	0.02	23%	14 Jun →
mirage	13–10	0.05	29%	14 Jun →
mirage	13–9	0.03	29%	14 Jun →
mirage	13–7	-0.02	29%	14 Jun →
vertigo	13–2	0.04	14%	14 Jun →
nuke	13–11	0.10	29%	13 Jun →
mirage	4–13	0.01	20%	13 Jun →
anubis	13–7	0.03	18%	13 Jun →
office	4–13	-0.10	67%	13 Jun →
mirage	3–13	0.07	30%	13 Jun →
dust2	3–13	0.03	29%	13 Jun →
mirage	13–6	-0.04	24%	13 Jun →
vertigo	12–16	-0.05	14%	13 Jun →
mirage	13–2	0.04	38%	12 Jun →
nuke	13–10	0.04	24%	12 Jun →
ancient	7–13	-0.04	14%	12 Jun →
mirage	16–13	0.06	24%	12 Jun →
cbble_d	13–11	0.02	33%	12 Jun →
vertigo	6–13	-0.02	29%	12 Jun →
mirage	9–13	-0.01	23%	12 Jun →
mirage	16–14	0.10	28%	12 Jun →
mirage	13–8	0.01	16%	11 Jun →
vertigo	13–10	0.06	30%	11 Jun →
ancient	13–9	0.10	26%	11 Jun →
mirage	13–9	0.04	31%	11 Jun →
ancient	16–13	-0.02	32%	26 Apr →
anubis	13–5	0.13	25%	25 Apr →
ancient	16–13	0.06	21%	24 Apr →
ancient	3–13	0.02	20%	22 Apr →
anubis	15–15	-0.01	22%	20 Apr →
train	5–13	0.01	19%	18 Apr →
ancient	1–13	-0.13	0%	15 Apr →
anubis	13–8	0.01	25%	15 Apr →
dust2	8–13	-0.03	22%	15 Apr →
mirage	13–11	0.03	29%	14 Apr →
ancient	13–7	0.07	20%	14 Apr →
mirage	13–5	0.02	28%	14 Apr →
inferno	8–13	-0.00	28%	14 Apr →
mirage	13–8	0.01	16%	14 Apr →
ancient	8–13	-0.07	43%	13 Apr →
mirage	4–13	-0.06	13%	13 Apr →
dust2	13–5	-0.03	22%	13 Apr →
mirage	13–5	-0.00	18%	13 Apr →
mirage	13–16	-0.02	32%	13 Apr →
dust2	13–10	0.01	24%	12 Apr →
train	13–9	0.08	30%	12 Apr →
mirage	13–4	0.10	36%	12 Apr →
ancient	13–4	0.02	20%	12 Apr →
train	13–3	-0.03	13%	12 Apr →
inferno	13–9	0.05	30%	10 Apr →
mirage	13–8	0.03	19%	23 Mar →
anubis	11–13	0.03	25%	15 Mar →
nuke	13–9	0.04	20%	8 Mar →
ancient	13–16	-0.03	16%	8 Mar →
anubis	13–6	0.03	13%	21 Feb →
mirage	7–13	0.10	22%	1 Feb →
ancient	6–13	-0.03	28%	22 Dec →
nuke	8–13	-0.02	39%	22 Dec →
mirage	7–13	0.01	24%	20 Dec →
ancient	25–22	-0.00	18%	19 Dec →
mirage	10–13	0.06	38%	18 Dec →