lil' Sika ♿ — CS2 Stats

FI76561199305160411[U:1:1344894683]Steam profile ↗

7,651Tracked matches37%Win rate2022Tracked since

CSDB Rating3.6 Learning

Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#25387 of 41366 tracked

FaceitLevel 6 · 1,409 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning43

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWLLWLLLLWW

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

Player DNA

Aim4.1

Aggression6.2

Utility6.9

Positioning4.3

Opening Duels2.3

Clutch3.4

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 Twistzz 85% playstyle similarity

Most alike: opening-fight frequency, 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1

Positioning4.3

Utility6.9

Mechanics2.7

Opening Duels2.3

Win Impact0.6

Composite 3.6/10 (Learning), 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 rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time577ms−50ms

first ⅓ avg 627ms → last ⅓ avg 577ms

Headshot accuracy17.5%−1.5%

first ⅓ avg 19.0% → last ⅓ avg 17.5%

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

0.17Best rating — nuke 13–1

13–1Biggest win — inferno

6Longest win streak

11–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 67% over 15nukeWeakest map · 40% over 20

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	20	8–12	40%	0.02
ancient	C	16	7–9	44%	-0.00
inferno	C	16	7–9	44%	0.01
anubis	S	15	10–5	67%	0.01
dust2	A	11	7–4	64%	-0.01
cache	C	10	4–6	40%	0.02
mirage	B	8	4–4	50%	-0.01
train	—	3	2–1	67%	0.04
overpass	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,881Matches

50%Win rate

0.91Avg K/D

77.3ADR

41%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

17Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	703	53%	0.98	14.3
Nuke	535	58%	0.94	14.3
Inferno	470	51%	0.94	14.2
Ancient	300	51%	0.87	13.5
Mirage	274	34%	0.78	12.1
Dust2	225	39%	0.81	12.7
Vertigo	172	49%	0.88	13.7
Train	104	44%	0.91	14.1

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.

17.1%Headshot accuracy

32.0%Accuracy (enemy spotted)

36.0%Spray accuracy

61.9%Counter-strafing

12.9°Preaim

572msReaction time

29.5%T opening success

48.6%CT opening success

0.59Enemies flashed / flash

8.0%Flash assists

10.51HE damage / grenade

16.99Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.8501° — above the 12° mark we flag
Aim Training →

Spend your practice time on Nuke

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

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–4	0.03	17%	29 Aug →
anubis	7–13	-0.02	16%	29 Aug →
inferno	3–13	-0.01	13%	29 Aug →
dust2	16–13	0.01	27%	29 Aug →
anubis	9–13	0.02	16%	28 Aug →
nuke	8–13	-0.05	7%	28 Aug →
cache	10–13	0.00	20%	28 Aug →
inferno	3–13	-0.00	24%	28 Aug →
ancient	13–11	0.01	22%	27 Aug →
nuke	13–6	0.00	14%	27 Aug →
nuke	13–6	0.02	19%	27 Aug →
inferno	11–13	0.04	6%	26 Aug →
inferno	13–1	0.09	13%	26 Aug →
cache	5–13	-0.08	19%	26 Aug →
nuke	13–6	0.12	11%	26 Aug →
ancient	11–13	-0.08	24%	26 Aug →
mirage	9–13	0.00	17%	26 Aug →
nuke	11–13	-0.07	17%	24 Aug →
nuke	7–13	0.05	16%	24 Aug →
anubis	13–8	0.04	18%	24 Aug →
ancient	9–13	0.06	21%	24 Aug →
dust2	25–23	0.00	13%	24 Aug →
ancient	11–13	-0.01	14%	23 Aug →
cache	13–6	0.02	18%	23 Aug →
anubis	13–11	-0.04	8%	23 Aug →
nuke	8–13	-0.04	15%	23 Aug →
dust2	13–16	-0.02	32%	23 Aug →
overpass	11–13	-0.06	16%	21 Aug →
inferno	3–13	-0.02	17%	21 Aug →
ancient	8–13	0.04	21%	21 Aug →
ancient	13–3	-0.01	13%	21 Aug →
anubis	16–14	0.01	25%	20 Aug →
dust2	13–5	0.03	26%	20 Aug →
inferno	13–9	0.00	35%	20 Aug →
cache	13–5	0.05	7%	19 Aug →
ancient	7–13	-0.07	19%	18 Aug →
nuke	13–9	0.08	24%	18 Aug →
inferno	7–13	-0.04	12%	17 Aug →
anubis	16–12	0.06	21%	17 Aug →
ancient	9–13	-0.05	15%	16 Aug →
nuke	9–13	-0.00	25%	16 Aug →
dust2	13–11	0.00	39%	16 Aug →
nuke	7–13	0.00	24%	16 Aug →
ancient	13–8	0.02	19%	15 Aug →
inferno	13–9	-0.03	10%	14 Aug →
anubis	13–11	0.01	16%	14 Aug →
mirage	7–13	-0.04	8%	14 Aug →
nuke	13–9	0.01	24%	14 Aug →
ancient	16–13	-0.02	18%	14 Aug →
dust2	13–10	-0.00	16%	14 Aug →
mirage	13–8	-0.05	18%	14 Aug →
cache	13–8	0.08	17%	14 Aug →
mirage	13–2	0.03	12%	14 Aug →
nuke	14–16	0.02	15%	14 Aug →
cache	13–5	0.12	21%	14 Aug →
anubis	8–13	-0.08	10%	14 Aug →
train	7–13	-0.02	33%	14 Aug →
nuke	8–13	0.05	16%	13 Aug →
nuke	13–1	0.17	18%	13 Aug →
inferno	5–13	-0.07	9%	13 Aug →
ancient	13–8	0.07	27%	13 Aug →
ancient	7–13	-0.04	22%	13 Aug →
cache	8–13	-0.01	14%	13 Aug →
inferno	13–10	0.07	15%	13 Aug →
train	13–7	-0.03	16%	12 Aug →
inferno	4–9	0.04	23%	12 Aug →
anubis	13–10	0.07	16%	12 Aug →
ancient	8–13	0.02	15%	12 Aug →
inferno	13–6	-0.03	33%	12 Aug →
anubis	8–13	-0.05	19%	12 Aug →
inferno	13–11	0.09	21%	11 Aug →
anubis	6–13	-0.04	6%	6 Aug →
ancient	9–13	0.01	22%	5 Aug →
anubis	13–5	0.03	22%	5 Aug →
nuke	2–0	0.06	14%	5 Aug →
nuke	2–13	-0.04	32%	5 Aug →
anubis	13–11	0.02	11%	5 Aug →
train	13–1	0.16	26%	4 Aug →
dust2	13–10	-0.01	17%	3 Aug →
cache	7–13	-0.03	6%	31 Jul →
inferno	4–13	0.00	26%	31 Jul →
nuke	11–13	-0.02	17%	30 Jul →
dust2	12–16	-0.03	12%	30 Jul →
dust2	10–13	-0.09	13%	30 Jul →
ancient	13–9	0.00	15%	30 Jul →
mirage	9–13	0.03	27%	30 Jul →
mirage	13–9	0.08	22%	29 Jul →
anubis	13–9	0.07	29%	29 Jul →
nuke	11–13	0.02	25%	29 Jul →
nuke	13–1	0.07	22%	29 Jul →
dust2	13–16	-0.05	11%	28 Jul →
nuke	11–13	0.01	16%	28 Jul →
dust2	13–4	0.02	15%	28 Jul →
mirage	5–13	-0.04	21%	28 Jul →
anubis	13–10	0.01	28%	28 Jul →
cache	9–13	0.01	18%	24 Jul →
inferno	6–13	-0.00	34%	24 Jul →
mirage	13–11	-0.09	9%	24 Jul →
inferno	13–11	-0.01	11%	24 Jul →
cache	8–13	0.04	12%	24 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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