succmeedri — CS2 Stats

76561198808241324[U:1:847975596]Steam profile ↗✓ No bans

702Tracked matches46%Win rate2023Tracked since

517Hours in CS3Hrs last 2 wks

CSDB Rating4.6 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median	Level 5 median	vs Level 5
Headshot rate	45.2%	42.7%	44.0%	above
Shot accuracy	6.0%	10.8%	11.6%	5.6% short
Kill/death ratio	0.88	1.00	1.03	0.15 short
Match win rate	45.8%	44.1%	45.1%	meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim50

Positioning50

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateLWLLWWLLWL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim5.0

Aggression3.5

Utility5.4

Positioning5.0

Opening Duels0.0

Clutch0.0

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 77% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 569ms 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

Aim5.0

Positioning5.0

Utility5.4

Mechanics5.8

Opening Duels0.3

Win Impact3.8

Composite 4.6/10 (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-0.03−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time582ms+19ms

first ⅓ avg 563ms → last ⅓ avg 582ms

Headshot accuracy12.6%−1.6%

first ⅓ avg 14.2% → last ⅓ avg 12.6%

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

0.11Best rating — train 13–1

13–1Biggest win — train

4Longest win streak

5–9In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 71% over 7mirageWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	18	6–12	33%	-0.01
dust2	D	18	6–12	33%	-0.04
ancient	B	15	8–7	53%	-0.01
anubis	C	10	4–6	40%	-0.03
nuke	S	10	7–3	70%	-0.02
inferno	D	9	3–6	33%	-0.03
cache	S	7	5–2	71%	-0.02
vertigo	A	5	3–2	60%	0.00
overpass	—	4	1–3	25%	-0.04
train	—	3	2–1	67%	0.06
office	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,948Lifetime kills

0.88K/D

1,014Matches

45.8%Match win rate · Top 50% of Level 4 players

45.2%Headshot % · Top 50% of Level 4 players

6.0%Shot accuracy

1,493MVPs

291Hours (in match)

626Bombs planted

135Bombs defused

Most-used weapons

AK-474,100

M4A4 / M4A1-S3,495

P2000 / USP-S828

Glock-18724

Desert Eagle646

MP9638

Galil AR604

FAMAS555

MAC-10540

AWP395

Lifetime map wins

1,632dust2

1,129inferno

856vertigo

712nuke

167train

70office

33cbble

13italy

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

Faceit stats

Combat

25Matches

52%Win rate

0.53Avg K/D

57.1ADR

45%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	57%	0.53	9.7
Vertigo	5	80%	0.61	9.6
Mirage	5	40%	0.44	7.4
Anubis	4	50%	0.56	10.0
Ancient	2	50%	0.64	13.0
Inferno	2	0%	0.44	7.5

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.

12.3%Headshot accuracy

32.0%Accuracy (enemy spotted)

36.8%Spray accuracy

75.9%Counter-strafing

11.7°Preaim

569msReaction time

23.3%T opening success

32.3%CT opening success

0.66Enemies flashed / flash

7.6%Flash assists

7.39HE damage / grenade

14.46Flashes / 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 12.3081% — below the 15% mark we flag
Aim Training →
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 23.305% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	3–13	-0.02	13%	22 Aug →
ancient	13–5	-0.01	10%	22 Aug →
anubis	11–13	-0.09	13%	22 Aug →
dust2	6–13	-0.05	11%	22 Aug →
nuke	13–6	0.02	17%	10 Aug →
anubis	13–7	-0.03	7%	10 Aug →
dust2	3–13	-0.08	13%	9 Aug →
mirage	11–13	0.00	15%	9 Aug →
cache	7–3	-0.06	6%	9 Aug →
ancient	8–13	-0.06	9%	9 Aug →
overpass	13–8	-0.03	7%	9 Aug →
dust2	13–6	0.04	16%	26 Jul →
mirage	7–13	-0.03	7%	26 Jul →
ancient	5–13	0.04	16%	26 Jul →
ancient	13–9	0.01	5%	6 Jul →
office	9–13	0.01	11%	6 Jul →
dust2	13–11	-0.03	10%	6 Jul →
mirage	13–8	-0.07	2%	29 Jun →
dust2	8–13	-0.08	16%	29 Jun →
ancient	2–3	-0.03	44%	29 Jun →
nuke	6–13	-0.06	8%	29 Jun →
anubis	13–8	-0.01	10%	15 Jun →
ancient	5–13	-0.05	7%	27 May →
dust2	2–13	-0.06	19%	27 May →
cache	13–10	0.05	17%	25 May →
ancient	4–13	-0.04	7%	25 May →
mirage	12–12	0.01	20%	7 May →
cache	13–9	-0.00	22%	7 May →
dust2	15–15	-0.09	12%	7 May →
vertigo	13–11	0.02	19%	4 May →
cache	9–13	0.01	10%	4 May →
cache	13–6	-0.07	7%	3 May →
nuke	13–11	-0.06	10%	3 May →
cache	11–13	-0.00	15%	3 May →
cache	13–5	-0.05	9%	3 May →
nuke	13–8	0.03	14%	28 Apr →
overpass	10–13	-0.04	15%	15 Apr →
mirage	13–10	0.02	14%	15 Apr →
ancient	11–13	-0.06	9%	6 Apr →
dust2	2–13	-0.06	3%	6 Apr →
anubis	11–13	-0.05	5%	6 Apr →
mirage	10–13	0.09	22%	6 Apr →
overpass	3–13	-0.07	22%	6 Apr →
mirage	7–13	-0.08	12%	27 Mar →
ancient	7–13	0.02	11%	27 Mar →
dust2	13–8	-0.02	14%	27 Mar →
inferno	6–13	-0.08	11%	27 Mar →
vertigo	13–10	-0.03	19%	25 Mar →
nuke	13–10	0.01	19%	25 Mar →
inferno	13–8	-0.00	15%	25 Mar →
mirage	3–8	-0.03	17%	25 Mar →
inferno	13–8	-0.06	12%	8 Mar →
mirage	2–13	-0.07	16%	8 Mar →
dust2	13–9	-0.07	13%	8 Mar →
inferno	10–13	-0.01	13%	8 Mar →
dust2	8–13	-0.05	15%	26 Feb →
inferno	8–13	-0.04	26%	26 Feb →
dust2	11–13	-0.01	13%	20 Feb →
anubis	13–8	0.01	10%	20 Feb →
train	13–1	0.11	16%	20 Feb →
mirage	10–13	0.05	19%	18 Feb →
dust2	7–13	-0.06	10%	18 Feb →
nuke	12–12	-0.05	9%	13 Feb →
dust2	13–6	-0.06	23%	13 Feb →
ancient	13–6	0.02	14%	13 Feb →
vertigo	11–13	0.01	8%	13 Feb →
mirage	8–13	-0.03	11%	3 Feb →
nuke	12–12	-0.06	8%	3 Feb →
vertigo	8–13	-0.02	17%	3 Feb →
inferno	10–13	-0.01	17%	3 Feb →
overpass	10–13	-0.02	11%	31 Jan →
nuke	13–4	0.00	17%	31 Jan →
dust2	7–13	-0.04	13%	31 Jan →
mirage	13–6	0.01	12%	31 Jan →
anubis	13–16	-0.07	8%	31 Jan →
ancient	13–5	-0.09	13%	31 Jan →
anubis	7–13	0.00	6%	29 Jan →
train	13–9	0.04	16%	29 Jan →
dust2	9–13	0.02	20%	28 Jan →
mirage	13–9	-0.03	10%	28 Jan →
nuke	13–9	-0.03	12%	28 Jan →
ancient	13–5	-0.01	10%	28 Jan →
mirage	12–12	-0.07	9%	28 Jan →
inferno	13–11	0.01	8%	27 Jan →
ancient	13–9	-0.00	10%	27 Jan →
dust2	13–10	-0.02	19%	27 Jan →
anubis	13–8	-0.06	18%	27 Jan →
inferno	10–13	-0.00	19%	27 Jan →
anubis	5–13	-0.05	22%	27 Jan →
ancient	13–11	0.04	22%	26 Jan →
train	11–13	0.04	10%	26 Jan →
mirage	10–13	0.03	17%	26 Jan →
ancient	13–10	0.02	10%	23 Jan →
inferno	9–13	-0.04	17%	23 Jan →
dust2	3–13	-0.05	8%	23 Jan →
mirage	13–2	0.02	18%	19 Jan →
nuke	13–10	0.03	17%	19 Jan →
vertigo	13–6	0.02	13%	19 Jan →
anubis	5–13	0.05	24%	19 Jan →
mirage	13–5	-0.06	19%	19 Jan →