lind — CS2 Stats

76561198022232583[U:1:61966855]

2,635Tracked matches45%Win rate2020Tracked since

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating26,624Top 25% of 819 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning60

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLLWWWLWLLW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.5

Aggression8.5

Utility6.9

Positioning6.0

Opening Duels4.9

Clutch4.6

Sharp aimerStrong CT-side opener

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 93% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 574ms 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

Aim8.5

Positioning6.0

Utility6.9

Mechanics7.3

Opening Duels4.9

Win Impact3.3

Composite 7.0/10 (Strong), 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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time575ms+41ms

first ⅓ avg 534ms → last ⅓ avg 575ms

Headshot accuracy29.6%−0.1%

first ⅓ avg 29.7% → last ⅓ avg 29.6%

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 — dust2 13–2

13–1Biggest win — anubis

10Longest win streak

L2Current streak

7–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 86% over 7anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	17–14	55%	0.03
cache	B	19	9–10	47%	0.04
ancient	C	17	6–11	35%	0.01
mirage	B	15	7–8	47%	0.03
anubis	D	9	3–6	33%	0.01
inferno	S	7	6–1	86%	0.07
nuke	—	2	1–1	50%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,855Matches

52%Win rate

1.10Avg K/D

78.9ADR

47%Headshot %

Clutches & streaks

43%1v1 clutch win

19%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	187	55%	1.26	16.7
Ancient	177	58%	1.14	16.1
Inferno	111	55%	1.22	16.8
Anubis	95	56%	1.11	16.2
Mirage	93	58%	1.23	17.0
Nuke	71	46%	0.99	15.3
Overpass	34	62%	1.13	14.8
Cache	9	78%	1.41	17.4

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.

28.3%Headshot accuracy

33.6%Accuracy (enemy spotted)

36.3%Spray accuracy

82.8%Counter-strafing

8.5°Preaim

574msReaction time

38.7%T opening success

60.5%CT opening success

0.69Enemies flashed / flash

21.5%Flash assists

8.51HE damage / grenade

8.94Flashes / 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 38.7118% — 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.

33% win rate across 9 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	9–13	-0.02	15%	24 Aug →
anubis	8–13	0.05	24%	23 Aug →
dust2	13–11	0.09	22%	23 Aug →
mirage	13–7	0.13	26%	23 Aug →
dust2	13–2	0.16	31%	23 Aug →
dust2	5–13	-0.06	20%	11 Aug →
inferno	13–10	0.02	33%	11 Aug →
ancient	2–5	-0.10	22%	5 Aug →
anubis	5–13	-0.04	24%	5 Aug →
cache	13–10	0.03	34%	5 Aug →
dust2	5–13	0.04	17%	5 Aug →
cache	13–8	0.08	34%	5 Aug →
dust2	8–13	0.06	37%	5 Aug →
ancient	7–13	-0.04	26%	5 Aug →
dust2	7–13	0.11	24%	5 Aug →
mirage	6–13	0.01	39%	4 Aug →
cache	13–3	0.11	28%	4 Aug →
cache	15–15	0.02	29%	4 Aug →
dust2	13–4	0.05	32%	4 Aug →
cache	9–13	-0.03	25%	4 Aug →
nuke	3–8	-0.05	67%	4 Aug →
ancient	2–13	-0.02	29%	4 Aug →
inferno	13–9	0.02	28%	4 Aug →
mirage	8–6	0.04	41%	4 Aug →
anubis	13–11	0.04	24%	4 Aug →
cache	13–5	0.10	18%	3 Aug →
cache	0–3	0.03	50%	3 Aug →
mirage	9–13	0.00	48%	3 Aug →
dust2	7–13	-0.01	15%	3 Aug →
ancient	13–8	0.03	21%	3 Aug →
dust2	12–12	-0.00	23%	3 Aug →
ancient	1–13	0.05	31%	1 Aug →
cache	13–8	0.06	38%	1 Aug →
inferno	13–8	0.11	61%	1 Aug →
dust2	16–14	0.01	24%	1 Aug →
ancient	9–13	0.10	37%	1 Aug →
dust2	4–13	-0.02	35%	31 Jul →
dust2	3–13	-0.03	73%	31 Jul →
mirage	13–9	0.13	32%	31 Jul →
cache	8–13	0.04	34%	31 Jul →
cache	11–13	0.07	22%	30 Jul →
mirage	9–13	-0.03	29%	30 Jul →
cache	8–13	-0.02	36%	27 Jul →
ancient	8–13	-0.01	47%	23 Jul →
anubis	13–1	0.08	15%	23 Jul →
cache	13–11	0.04	31%	23 Jul →
ancient	13–9	0.04	19%	23 Jul →
mirage	13–10	0.01	43%	23 Jul →
ancient	7–13	-0.01	28%	23 Jul →
dust2	13–6	0.12	20%	23 Jul →
dust2	13–11	0.04	37%	23 Jul →
anubis	8–13	-0.00	45%	23 Jul →
cache	4–13	0.01	19%	23 Jul →
dust2	13–7	0.03	41%	23 Jul →
anubis	4–13	0.01	24%	22 Jul →
cache	8–13	-0.03	29%	22 Jul →
dust2	13–3	0.06	15%	22 Jul →
dust2	13–3	0.04	52%	22 Jul →
dust2	13–6	0.01	32%	21 Jul →
mirage	0–13	-0.04	0%	21 Jul →
mirage	1–8	-0.01	63%	21 Jul →
dust2	13–6	0.09	31%	21 Jul →
cache	13–3	0.07	22%	21 Jul →
dust2	11–13	0.04	24%	20 Jul →
dust2	13–2	0.15	31%	20 Jul →
inferno	3–13	0.08	37%	20 Jul →
ancient	7–13	-0.04	24%	20 Jul →
mirage	13–4	-0.01	23%	20 Jul →
mirage	10–13	-0.00	17%	20 Jul →
cache	13–5	0.03	28%	20 Jul →
mirage	1–13	0.02	75%	20 Jul →
ancient	13–9	0.02	20%	20 Jul →
ancient	13–2	-0.01	24%	20 Jul →
dust2	0–13	-0.05	0%	20 Jul →
dust2	1–13	-0.04	0%	20 Jul →
dust2	13–8	0.01	24%	20 Jul →
anubis	7–13	-0.08	13%	17 Jul →
dust2	12–12	0.07	25%	17 Jul →
mirage	13–4	0.02	24%	17 Jul →
cache	6–13	0.04	33%	17 Jul →
dust2	4–13	0.00	25%	17 Jul →
anubis	13–6	0.07	50%	17 Jul →
mirage	16–13	0.03	35%	16 Jul →
dust2	13–7	0.05	26%	16 Jul →
ancient	13–9	0.04	36%	16 Jul →
cache	13–7	0.11	40%	16 Jul →
dust2	13–8	0.01	14%	16 Jul →
dust2	13–4	0.04	32%	15 Jul →
inferno	13–11	0.14	32%	15 Jul →
inferno	13–9	0.04	55%	14 Jul →
nuke	13–4	0.06	23%	14 Jul →
ancient	11–13	-0.01	29%	13 Jul →
anubis	12–12	-0.05	17%	12 Jul →
cache	11–13	0.05	35%	9 Jul →
inferno	13–8	0.06	33%	9 Jul →
dust2	2–13	-0.02	63%	9 Jul →
dust2	13–10	-0.01	40%	9 Jul →
ancient	12–16	0.07	26%	8 Jul →
ancient	13–9	0.08	41%	8 Jul →
mirage	12–12	0.09	22%	7 Jul →