meph_ — CS2 Stats

76561197989312832[U:1:29047104]

2,151Tracked matches53%Win rate2020Tracked since

3,510Hours in CS31Hrs last 2 wks

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating25,000Top 25% of 819 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#1913 of 11657 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

Rating over time

25,000Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 25,000
Next: Gold band at 30,000 — 5,000 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

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 10 among CSDB-tracked players (n=218), 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	vs Level 10
Headshot rate	47.2%	52.8%	5.6% short
Shot accuracy	10.7%	13.7%	3.0% short
Kill/death ratio	0.91	1.08	0.17 short
Match win rate	44.7%	49.2%	4.5% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim70

Positioning50

Utility66

0–100 skill scores via Leetify.

Recent form

HOT56–44Last 10056%Win rateWWLWWWLLWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

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

Aim7.0

Aggression5.3

Utility6.6

Positioning5.0

Opening Duels1.5

Clutch6.2

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 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 →

CSDB Rating breakdown

Aim7.0

Positioning5.0

Utility6.6

Mechanics5.8

Opening Duels1.5

Win Impact6.1

Composite 6.0/10 (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-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time554ms−20ms

first ⅓ avg 574ms → last ⅓ avg 554ms

Headshot accuracy15.2%+0.8%

first ⅓ avg 14.3% → last ⅓ avg 15.2%

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

0.09Best rating — dust2 13–0

13–0Biggest win — dust2

7Longest win streak

W2Current streak

13–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 78% over 18anubisWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	23	12–11	52%	0.00
dust2	B	23	12–11	52%	0.00
inferno	S	18	14–4	78%	0.01
cache	B	12	6–6	50%	-0.01
mirage	C	9	4–5	44%	-0.01
anubis	C	7	3–4	43%	-0.01
overpass	—	4	2–2	50%	0.00
nuke	—	3	2–1	67%	0.01
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,522Lifetime kills

0.91K/D

3,950Matches

44.7%Match win rate

47.2%Headshot % · Top 50% of tracked players

10.7%Shot accuracy

8,279MVPs

4,467Hours (in match)

4,315Bombs planted

998Bombs defused

Most-used weapons

AK-4748,531

M4A4 / M4A1-S22,760

AWP8,244

P2000 / USP-S7,009

Desert Eagle3,901

Glock-183,488

Galil AR3,260

FAMAS3,093

P2502,013

Five-SeveN1,172

Lifetime map wins

12,288dust2

7,315inferno

3,537nuke

1,302vertigo

885train

150cbble

7office

3lake

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

Faceit stats

Combat

182Matches

51%Win rate

1.22Avg K/D

84.9ADR

40%Headshot %

Clutches & streaks

51%1v1 clutch win

26%1v2 clutch win

16Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	30	57%	1.22	18.5
Cache	24	62%	1.01	14.9
Dust2	23	65%	1.33	17.8
Inferno	16	69%	1.72	17.4
Anubis	9	56%	1.07	14.4
Mirage	6	50%	0.74	11.0
Vertigo	4	100%	1.35	18.0
Nuke	2	100%	1.08	15.0

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.

15.5%Headshot accuracy

35.1%Accuracy (enemy spotted)

38.5%Spray accuracy

76.0%Counter-strafing

9.7°Preaim

545msReaction time

36.7%T opening success

35.7%CT opening success

0.61Enemies flashed / flash

5.8%Flash assists

10.03HE damage / grenade

17.89Flashes / 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 36.682% — below the 40% mark we flag

Spend your practice time on Anubis

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

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