Sindilia — CS2 Stats

76561198095760902[U:1:135495174]

3,011Tracked matches70%Win rate2021Tracked since

2,232Hours in CS

CSDB Rating6.3 SolidPassive Rifler

Premier CS Rating23,292Top 50% of 819 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)

CSDB Leaderboard#4331 of 17420 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning40

Utility44

0–100 skill scores via Leetify.

Recent form

HOT49–47–4Last 10049%Win rateLWWWWWLWWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.7

Aggression3.8

Utility4.4

Positioning4.0

Opening Duels0.4

Clutch0.2

Excellent counter-strafingStrong 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 NiKo 84% playstyle similarity

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

Where you differ: lower utility contribution; lower 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

Areas to improve

Positioning. Positioning trails aim by 37 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.

T-side openings. Opening success drops from 40% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim7.7

Positioning4.0

Utility4.4

Mechanics8.6

Opening Duels1.3

Win Impact10.0

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 rating-0.02+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time627ms−10ms

first ⅓ avg 637ms → last ⅓ avg 627ms

Headshot accuracy18.9%−2.8%

first ⅓ avg 21.7% → last ⅓ avg 18.9%

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 — ancient 13–7

13–1Biggest win — dust2

5Longest win streak

11–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 89% over 9dust2Weakest map · 36% over 25

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	9–16	36%	-0.03
mirage	B	19	10–9	53%	-0.04
cache	C	17	7–10	41%	-0.04
inferno	A	13	8–5	62%	-0.01
ancient	S	9	8–1	89%	-0.01
anubis	B	6	3–3	50%	-0.00
nuke	—	3	1–2	33%	-0.05
train	—	3	2–1	67%	-0.01
vertigo	—	1	0–1	0%	0.01
fachwerk	—	1	0–1	0%	0.01
shelter	—	1	1–0	100%	-0.03
boulder	—	1	0–1	0%	0.01
overpass	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,471Lifetime kills

0.97K/D

5,693Matches

36.8%Match win rate

54.2%Headshot % · Top 25% of Pink band

11.3%Shot accuracy

9,676MVPs

2,232Hours (in match)

3,012Bombs planted

906Bombs defused

Most-used weapons

AK-4750,212

M4A4 / M4A1-S23,885

AWP10,718

P2000 / USP-S5,825

Glock-183,779

Desert Eagle3,721

Galil AR1,778

FAMAS1,517

MAC-101,455

SG 5531,374

Lifetime map wins

9,633dust2

7,381inferno

3,503nuke

1,197vertigo

1,122aztec

1,105train

700cbble

495office

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

Faceit stats

Combat

53Matches

43%Win rate

0.86Avg K/D

64.1ADR

45%Headshot %

Clutches & streaks

21%1v1 clutch win

13%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	13	38%	1.04	13.1
Ancient	12	50%	0.88	11.7
Dust2	11	45%	0.85	13.4
Mirage	7	29%	0.72	12.3
Nuke	6	67%	0.81	14.3
Anubis	2	0%	0.79	12.5
Overpass	1	100%	0.71	12.0

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.

18.5%Headshot accuracy

36.1%Accuracy (enemy spotted)

37.0%Spray accuracy

88.7%Counter-strafing

9.4°Preaim

617msReaction time

22.6%T opening success

40.4%CT opening success

0.48Enemies flashed / flash

3.2%Flash assists

11.23HE damage / grenade

8.37Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4792 — below the 0.5 mark we flag
Grenade Lineups →
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 22.5769% — 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.

36% win rate across 25 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
anubis	5–13	-0.08	3%	27 Aug →
ancient	13–7	-0.07	6%	27 Aug →
mirage	13–4	-0.03	38%	27 Aug →
cache	13–11	-0.03	13%	27 Aug →
dust2	13–10	0.02	21%	27 Aug →
inferno	13–6	0.01	21%	27 Aug →
nuke	6–13	-0.02	31%	26 Aug →
anubis	13–6	0.06	12%	26 Aug →
mirage	13–9	-0.05	17%	26 Aug →
dust2	13–11	-0.11	14%	26 Aug →
cache	5–13	-0.06	10%	26 Aug →
ancient	13–7	0.09	21%	25 Aug →
mirage	13–8	-0.05	17%	25 Aug →
inferno	3–13	0.01	16%	25 Aug →
dust2	13–7	-0.01	22%	25 Aug →
inferno	13–10	-0.04	19%	24 Aug →
ancient	13–9	0.01	15%	24 Aug →
dust2	8–13	-0.03	33%	24 Aug →
mirage	13–11	-0.04	13%	23 Aug →
dust2	10–13	-0.04	22%	23 Aug →
dust2	13–11	-0.04	20%	23 Aug →
cache	13–5	0.06	13%	23 Aug →
ancient	13–3	0.04	23%	23 Aug →
dust2	9–13	-0.03	21%	22 Aug →
cache	13–11	-0.07	16%	22 Aug →
inferno	13–5	0.01	16%	22 Aug →
inferno	13–5	0.03	34%	22 Aug →
dust2	11–13	-0.02	19%	22 Aug →
inferno	9–13	-0.05	19%	21 Aug →
mirage	13–11	0.00	15%	21 Aug →
dust2	4–13	-0.05	20%	21 Aug →
dust2	3–13	-0.03	21%	21 Aug →
cache	8–13	-0.00	24%	21 Aug →
dust2	13–10	-0.04	31%	21 Aug →
ancient	7–13	-0.03	20%	21 Aug →
train	1–13	-0.04	33%	21 Aug →
dust2	7–13	0.02	20%	20 Aug →
mirage	11–13	0.05	28%	20 Aug →
ancient	13–3	0.03	14%	20 Aug →
vertigo	10–13	0.01	17%	20 Aug →
cache	6–13	-0.03	18%	20 Aug →
fachwerk	10–13	0.01	16%	19 Aug →
anubis	13–6	0.04	19%	19 Aug →
ancient	13–11	-0.04	11%	19 Aug →
cache	2–13	-0.11	11%	19 Aug →
mirage	10–4	-0.02	15%	19 Aug →
cache	11–13	-0.06	21%	19 Aug →
nuke	6–2	-0.09	11%	19 Aug →
dust2	4–13	-0.05	6%	18 Aug →
mirage	6–13	-0.04	16%	18 Aug →
cache	7–13	0.00	13%	18 Aug →
inferno	13–10	-0.01	10%	18 Aug →
dust2	5–13	-0.06	33%	18 Aug →
inferno	13–8	-0.01	20%	18 Aug →
dust2	13–1	0.04	17%	18 Aug →
cache	16–14	-0.02	24%	18 Aug →
cache	4–13	-0.07	15%	17 Aug →
dust2	10–13	0.03	15%	17 Aug →
mirage	13–2	-0.10	5%	17 Aug →
inferno	12–12	-0.05	21%	17 Aug →
mirage	12–12	-0.06	17%	17 Aug →
train	13–11	-0.03	32%	16 Aug →
mirage	7–13	-0.08	12%	16 Aug →
dust2	13–6	0.04	19%	16 Aug →
inferno	5–13	-0.01	28%	16 Aug →
anubis	10–13	-0.04	10%	16 Aug →
cache	13–10	-0.03	26%	16 Aug →
shelter	13–11	-0.03	38%	15 Aug →
boulder	4–13	0.01	29%	15 Aug →
ancient	13–8	-0.10	15%	15 Aug →
nuke	3–11	-0.04	19%	15 Aug →
mirage	13–3	-0.04	26%	15 Aug →
mirage	4–13	-0.04	18%	15 Aug →
dust2	13–10	-0.02	27%	15 Aug →
mirage	7–13	-0.06	26%	15 Aug →
ancient	13–10	-0.01	12%	14 Aug →
mirage	13–2	0.01	17%	14 Aug →
cache	13–11	-0.02	18%	14 Aug →
mirage	3–13	-0.08	13%	14 Aug →
inferno	13–4	0.02	34%	14 Aug →
dust2	13–9	-0.02	21%	14 Aug →
inferno	13–10	0.01	15%	14 Aug →
dust2	9–13	-0.07	19%	14 Aug →
dust2	9–13	-0.04	27%	12 Aug →
anubis	13–5	-0.02	17%	12 Aug →
cache	12–12	-0.03	34%	12 Aug →
overpass	8–13	-0.09	14%	12 Aug →
train	13–6	0.03	30%	12 Aug →
mirage	13–6	-0.02	20%	11 Aug →
dust2	8–13	-0.02	19%	11 Aug →
dust2	4–13	-0.02	32%	29 Jul →
cache	11–13	-0.06	24%	29 Jul →
dust2	9–13	-0.04	21%	28 Jul →
inferno	4–13	-0.03	24%	27 Jul →
mirage	8–13	-0.06	16%	27 Jul →
anubis	12–12	0.03	20%	27 Jul →
cache	13–9	-0.04	28%	26 Jul →
mirage	2–13	-0.11	18%	26 Jul →
cache	9–13	-0.04	19%	24 Jul →
dust2	3–13	-0.07	6%	24 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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