Mayson — CS2 Stats

76561198310298526[U:1:350032798]

1,090Tracked matches43%Win rate2020Tracked since

1,587Hours in CS13Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating20,280Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)

CSDB Leaderboard#14463 of 38433 tracked

FaceitLevel 5 · 1,056 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 median	Level 6 median	vs Level 6
Headshot rate	58.9%	44.0%	44.7%	above
Shot accuracy	11.3%	11.6%	11.9%	0.6% short
Kill/death ratio	1.50	1.03	1.04	above
Match win rate	48.5%	45.1%	45.2%	above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim91

Positioning50

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLWWLLLLWWW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim9.1

Aggression9.0

Utility4.7

Positioning5.0

Opening Duels3.5

Clutch0.0

Sharp aimerLimited 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 jL 91% playstyle similarity

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

Where you differ: lower positioning profile; lower utility contribution.

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 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 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.

Reaction time. 563ms 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

Aim9.1

Positioning5.0

Utility4.7

Mechanics7.5

Opening Duels3.5

Win Impact2.6

Composite 6.3/10 (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 0.03 → last ⅓ avg 0.02

Reaction time567ms−58ms

first ⅓ avg 625ms → last ⅓ avg 567ms

Headshot accuracy22.4%+0.8%

first ⅓ avg 21.6% → last ⅓ avg 22.4%

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

0.20Best rating — mirage 13–2

13–2Biggest win — mirage

6Longest win streak

10–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 80% over 5dust2Weakest map · 37% over 27

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	43	23–20	53%	0.04
dust2	C	27	10–17	37%	0.02
cache	B	10	5–5	50%	0.03
anubis	S	9	6–3	67%	0.01
ancient	S	5	4–1	80%	0.07
inferno	—	2	1–1	50%	-0.02
train	—	2	0–2	0%	-0.02
nuke	—	1	0–1	0%	-0.02
overpass	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,163Lifetime kills

1.50K/D · Top 5% of Level 5 players

2,196Matches

48.5%Match win rate · Top 25% of Level 5 players

58.9%Headshot % · Top 10% of Level 5 players

11.3%Shot accuracy

5,668MVPs

942Hours (in match)

1,665Bombs planted

612Bombs defused

Most-used weapons

AK-4735,742

M4A4 / M4A1-S8,140

AWP4,084

Desert Eagle3,663

P2000 / USP-S2,330

Glock-181,642

SSG 08922

MP9705

MAC-10490

FAMAS458

Lifetime map wins

4,029dust2

1,432inferno

678nuke

489vertigo

363train

36cbble

1sugarcane

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

Faceit stats

Combat

53Matches

66%Win rate

1.12Avg K/D

74.3ADR

38%Headshot %

Clutches & streaks

0%1v1 clutch win

50%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWW

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.

22.4%Headshot accuracy

40.8%Accuracy (enemy spotted)

42.9%Spray accuracy

83.6%Counter-strafing

7.6°Preaim

563msReaction time

37.9%T opening success

50.2%CT opening success

0.61Enemies flashed / flash

4.1%Flash assists

10.84HE damage / grenade

4.91Flashes / 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 37.9042% — below the 40% mark we flag

Spend your practice time on Dust 2

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

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	10–13	0.01	13%	27 Aug →
mirage	13–8	-0.03	17%	27 Aug →
mirage	13–9	0.16	23%	25 Aug →
cache	11–13	-0.01	27%	25 Aug →
mirage	10–13	0.03	22%	24 Aug →
mirage	11–13	-0.08	26%	21 Aug →
dust2	2–13	-0.05	22%	19 Aug →
anubis	13–10	0.03	25%	18 Aug →
mirage	13–4	0.04	12%	18 Aug →
mirage	13–8	0.02	13%	17 Aug →
mirage	13–4	0.14	16%	17 Aug →
dust2	0–13	-0.01	32%	17 Aug →
mirage	12–12	0.03	26%	17 Aug →
cache	16–14	0.03	21%	16 Aug →
mirage	13–5	-0.00	34%	16 Aug →
mirage	13–7	0.08	25%	15 Aug →
ancient	13–5	0.12	16%	15 Aug →
cache	13–9	0.03	28%	14 Aug →
cache	9–13	0.02	18%	13 Aug →
dust2	13–9	0.00	20%	13 Aug →
mirage	12–12	0.11	21%	13 Aug →
dust2	5–13	0.05	29%	11 Aug →
mirage	9–13	-0.06	10%	11 Aug →
dust2	4–13	0.00	15%	10 Aug →
dust2	12–16	0.07	29%	9 Aug →
dust2	6–13	0.07	30%	9 Aug →
anubis	3–13	0.00	19%	8 Aug →
dust2	9–13	0.03	20%	7 Aug →
cache	1–13	-0.03	38%	7 Aug →
anubis	2–13	-0.04	29%	4 Aug →
mirage	6–13	0.03	23%	4 Aug →
nuke	7–13	-0.02	18%	2 Aug →
dust2	6–13	0.01	21%	1 Aug →
dust2	5–13	0.02	16%	1 Aug →
mirage	8–13	0.01	20%	1 Aug →
cache	13–8	0.02	14%	1 Aug →
mirage	6–13	0.03	23%	1 Aug →
ancient	13–8	0.10	21%	1 Aug →
mirage	2–13	0.04	30%	31 Jul →
dust2	8–13	-0.01	20%	31 Jul →
cache	13–11	0.10	27%	26 Jul →
dust2	10–13	0.06	24%	26 Jul →
inferno	8–13	-0.03	22%	26 Jul →
mirage	13–5	0.11	19%	25 Jul →
dust2	13–6	-0.02	39%	24 Jul →
mirage	11–13	0.04	21%	24 Jul →
dust2	13–8	0.04	23%	24 Jul →
dust2	3–13	-0.06	32%	23 Jul →
ancient	13–11	0.01	10%	23 Jul →
anubis	11–7	0.03	6%	23 Jul →
mirage	13–6	0.08	27%	21 Jul →
dust2	13–11	-0.00	26%	21 Jul →
inferno	13–5	-0.00	17%	20 Jul →
mirage	13–2	0.20	19%	20 Jul →
cache	12–12	0.02	33%	19 Jul →
mirage	13–7	0.13	24%	19 Jul →
mirage	4–13	-0.03	19%	18 Jul →
mirage	13–7	0.04	17%	18 Jul →
mirage	13–16	0.02	21%	18 Jul →
mirage	15–15	0.05	19%	18 Jul →
mirage	13–3	0.01	45%	15 Jul →
dust2	7–7	-0.06	28%	15 Jul →
train	9–13	-0.05	41%	15 Jul →
mirage	13–11	0.01	24%	15 Jul →
mirage	9–13	0.05	24%	14 Jul →
dust2	13–10	0.06	27%	14 Jul →
mirage	13–6	0.02	16%	14 Jul →
mirage	13–10	-0.04	11%	13 Jul →
mirage	13–3	0.16	23%	10 Jul →
dust2	11–13	-0.03	18%	9 Jul →
ancient	13–8	0.07	26%	9 Jul →
mirage	4–0	0.13	24%	9 Jul →
mirage	11–1	0.05	25%	8 Jul →
cache	6–13	0.03	29%	8 Jul →
mirage	9–13	0.00	13%	8 Jul →
anubis	13–7	0.01	19%	8 Jul →
mirage	15–15	-0.01	17%	3 Jul →
mirage	13–11	0.03	22%	3 Jul →
overpass	13–9	0.00	24%	3 Jul →
anubis	13–6	-0.01	21%	3 Jul →
ancient	5–13	0.05	21%	3 Jul →
dust2	13–7	0.04	29%	3 Jul →
train	12–12	0.01	19%	30 Jun →
dust2	3–13	-0.04	10%	30 Jun →
mirage	2–13	-0.04	30%	29 Jun →
mirage	2–13	0.06	22%	25 Jun →
dust2	16–14	0.04	16%	25 Jun →
anubis	13–10	0.01	13%	25 Jun →
cache	13–10	0.05	15%	24 Jun →
dust2	9–13	0.11	15%	24 Jun →
mirage	13–2	0.10	32%	24 Jun →
mirage	16–14	0.02	15%	24 Jun →
dust2	13–6	0.08	33%	23 Jun →
mirage	1–13	-0.01	20%	23 Jun →
dust2	13–10	0.09	30%	23 Jun →
mirage	8–1	0.01	18%	23 Jun →
dust2	3–13	0.03	20%	23 Jun →
dust2	3–13	-0.04	28%	22 Jun →
anubis	4–13	-0.02	36%	22 Jun →
anubis	13–11	0.06	19%	21 Jun →