lynthy — CS2 Stats

76561198286180280[U:1:325914552]

492Tracked matches23%Win rate2020Tracked since

CSDB Rating4.5 Developing

Premier CS Rating12,752Blue band · top ~40.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning53

Utility57

0–100 skill scores via Leetify.

Recent form

COLD42–56–2Last 10042%Win rateLLLLLWWLLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.6

Aggression5.3

Utility5.7

Positioning5.3

Opening Duels1.5

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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim5.6

Positioning5.3

Utility5.7

Mechanics6.6

Opening Duels1.8

Win Impact0.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time602ms−0ms

first ⅓ avg 602ms → last ⅓ avg 602ms

Headshot accuracy13.6%−4.2%

first ⅓ avg 17.8% → last ⅓ avg 13.6%

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

0.10Best rating — inferno 13–6

13–0Biggest win — dust2

6Longest win streak

L5Current streak

4–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 0% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	-0.02
inferno	C	18	7–11	39%	-0.01
cache	B	15	7–8	47%	-0.00
nuke	A	14	8–6	57%	-0.01
ancient	D	10	0–10	0%	-0.05
dust2	D	10	3–7	30%	-0.04
anubis	A	5	3–2	60%	-0.00
train	—	2	2–0	100%	0.03
shelter	—	1	0–1	0%	-0.05
boulder	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

20Matches

50%Win rate

0.68Avg K/D

—ADR

26%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLWL

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.

12.9%Headshot accuracy

32.2%Accuracy (enemy spotted)

34.5%Spray accuracy

79.9%Counter-strafing

10.0°Preaim

591msReaction time

28.0%T opening success

44.3%CT opening success

0.73Enemies flashed / flash

10.2%Flash assists

7.89HE damage / grenade

4.08Flashes / 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 12.8592% — 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 28.0251% — 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.

0% win rate across 10 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
ancient	13–16	-0.04	13%	30 Aug →
anubis	3–13	-0.07	6%	28 Aug →
cache	9–13	0.00	16%	28 Aug →
mirage	0–8	-0.09	0%	28 Aug →
mirage	1–7	-0.02	46%	28 Aug →
inferno	13–5	-0.00	13%	28 Aug →
mirage	13–9	0.06	12%	28 Aug →
mirage	6–13	-0.00	22%	27 Aug →
dust2	6–13	-0.07	10%	27 Aug →
ancient	6–13	0.01	22%	23 Aug →
mirage	14–16	-0.00	12%	23 Aug →
mirage	11–13	-0.02	11%	22 Aug →
mirage	7–13	-0.03	15%	22 Aug →
inferno	8–13	0.00	16%	21 Aug →
inferno	10–13	-0.07	6%	20 Aug →
mirage	1–13	-0.05	21%	19 Aug →
mirage	9–13	0.02	15%	19 Aug →
ancient	4–13	-0.06	8%	19 Aug →
nuke	13–7	0.05	17%	19 Aug →
mirage	13–5	0.01	22%	19 Aug →
ancient	10–13	-0.07	9%	19 Aug →
dust2	6–13	-0.02	8%	18 Aug →
train	13–3	0.03	15%	17 Aug →
dust2	9–13	-0.05	3%	16 Aug →
cache	13–4	-0.01	12%	16 Aug →
mirage	0–2	-0.02	0%	16 Aug →
cache	13–10	0.01	11%	14 Aug →
inferno	3–13	-0.02	9%	14 Aug →
anubis	6–13	-0.04	6%	11 Aug →
mirage	9–13	0.00	15%	11 Aug →
nuke	6–13	-0.06	14%	11 Aug →
cache	7–13	-0.01	18%	10 Aug →
dust2	8–13	0.07	26%	10 Aug →
inferno	13–7	-0.01	10%	10 Aug →
inferno	9–13	0.00	16%	9 Aug →
dust2	13–4	-0.08	14%	9 Aug →
cache	16–12	-0.02	21%	9 Aug →
cache	13–4	-0.00	8%	9 Aug →
dust2	7–13	-0.06	17%	8 Aug →
inferno	14–16	-0.09	14%	8 Aug →
dust2	11–13	-0.08	10%	3 Aug →
cache	5–13	0.01	16%	1 Aug →
dust2	2–13	-0.04	18%	1 Aug →
nuke	11–13	-0.07	15%	31 Jul →
mirage	13–9	-0.01	18%	31 Jul →
inferno	3–13	-0.09	8%	31 Jul →
cache	13–10	0.04	14%	31 Jul →
mirage	13–1	-0.03	14%	31 Jul →
cache	13–16	-0.04	15%	30 Jul →
inferno	13–5	-0.02	11%	30 Jul →
mirage	3–13	-0.02	15%	30 Jul →
mirage	9–13	-0.07	18%	30 Jul →
inferno	13–6	0.02	11%	30 Jul →
anubis	13–11	0.00	12%	29 Jul →
nuke	13–5	-0.08	12%	29 Jul →
inferno	13–4	0.03	8%	29 Jul →
anubis	13–7	0.04	9%	29 Jul →
inferno	13–6	0.10	15%	28 Jul →
ancient	9–13	-0.10	8%	24 Jul →
nuke	13–10	-0.01	17%	24 Jul →
mirage	13–1	-0.04	13%	24 Jul →
inferno	13–3	0.04	15%	24 Jul →
nuke	13–6	0.02	19%	24 Jul →
mirage	5–13	-0.13	6%	23 Jul →
dust2	16–13	-0.04	13%	23 Jul →
nuke	15–15	-0.06	13%	23 Jul →
ancient	1–13	-0.03	8%	22 Jul →
anubis	13–7	0.06	14%	22 Jul →
nuke	7–13	0.01	13%	22 Jul →
mirage	13–11	-0.01	21%	22 Jul →
nuke	13–10	-0.01	9%	22 Jul →
inferno	11–13	0.01	23%	21 Jul →
nuke	15–15	0.05	22%	21 Jul →
inferno	11–13	0.03	21%	20 Jul →
cache	3–13	0.02	27%	20 Jul →
mirage	13–3	0.03	10%	20 Jul →
nuke	16–14	-0.05	12%	20 Jul →
cache	2–13	-0.04	12%	19 Jul →
nuke	13–8	-0.02	21%	19 Jul →
inferno	6–13	-0.03	14%	19 Jul →
nuke	13–11	0.04	17%	19 Jul →
ancient	8–13	-0.01	12%	19 Jul →
mirage	13–8	-0.06	20%	19 Jul →
ancient	2–13	-0.07	9%	19 Jul →
cache	10–13	-0.08	7%	18 Jul →
mirage	13–5	0.00	20%	18 Jul →
cache	13–9	0.04	19%	18 Jul →
shelter	8–13	-0.05	18%	16 Jul →
cache	6–13	0.01	21%	16 Jul →
ancient	8–13	-0.05	24%	16 Jul →
mirage	13–7	0.02	20%	15 Jul →
boulder	13–9	-0.01	12%	15 Jul →
cache	13–8	0.05	30%	14 Jul →
dust2	13–0	-0.02	36%	14 Jul →
ancient	5–13	-0.05	14%	14 Jul →
inferno	8–13	-0.00	16%	14 Jul →
mirage	13–8	0.02	16%	14 Jul →
train	13–8	0.04	21%	13 Jul →
nuke	8–13	-0.00	20%	13 Jul →
inferno	8–13	-0.06	15%	13 Jul →