Ikki_baby — CS2 Stats

76561197962518720[U:1:2252992]Steam profile ↗✓ No bans

1,209Tracked matches53%Win rate2020Tracked since

CSDB Rating6.1 SolidPassive Rifler

Premier CS Rating17,057Purple band · top ~20.2% of ranked players (population est.)

CSDB Leaderboard#30496 of 58464 tracked

FaceitLevel 7 · 1,765 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79

Positioning48

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWLLLLWWWWW

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

Player DNA

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

Aim7.9

Aggression3.8

Utility6.5

Positioning4.8

Opening Duels0.4

Clutch2.0

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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; lower opening-duel success.

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 31 points — deaths here waste a strong aim profile.

Reaction time. 666ms 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

Aim7.9

Positioning4.8

Utility6.5

Mechanics7.7

Opening Duels0.4

Win Impact6.1

Composite 6.1/10 (Solid), 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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time680ms+30ms

first ⅓ avg 650ms → last ⅓ avg 680ms

Headshot accuracy16.5%−0.4%

first ⅓ avg 16.9% → last ⅓ avg 16.5%

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

0.12Best rating — inferno 13–2

13–1Biggest win — nuke

7Longest win streak

11–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

overpassBest map · 60% over 5ancientWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	32	17–15	53%	-0.01
dust2	C	19	8–11	42%	-0.02
mirage	A	18	10–8	56%	-0.02
anubis	B	11	5–6	45%	-0.02
ancient	D	10	2–8	20%	-0.03
overpass	A	5	3–2	60%	-0.03
nuke	—	4	3–1	75%	-0.01
cache	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,038Matches

51%Win rate

0.92Avg K/D

67.5ADR

39%Headshot %

Clutches & streaks

30%1v1 clutch win

15%1v2 clutch win

14Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	100	62%	0.90	13.2
Mirage	73	48%	0.80	12.7
Anubis	52	46%	0.81	13.4
Dust2	42	52%	0.76	12.3
Ancient	39	41%	0.83	14.1
Nuke	29	52%	0.81	12.7
Overpass	18	39%	0.81	13.1
Train	9	44%	0.85	14.0

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.

16.9%Headshot accuracy

41.2%Accuracy (enemy spotted)

41.3%Spray accuracy

84.6%Counter-strafing

9.1°Preaim

666msReaction time

32.0%T opening success

31.1%CT opening success

0.57Enemies flashed / flash

6.4%Flash assists

7.91HE damage / grenade

11.93Flashes / 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 31.9853% — 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.

20% 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
nuke	13–1	0.04	15%	28 Aug →
ancient	13–16	-0.03	14%	28 Aug →
inferno	6–13	-0.05	18%	28 Aug →
dust2	11–13	-0.07	17%	27 Aug →
dust2	8–13	-0.08	14%	27 Aug →
dust2	13–8	0.04	14%	27 Aug →
inferno	13–11	0.04	34%	18 Aug →
inferno	13–3	-0.02	16%	16 Aug →
ancient	13–11	-0.01	16%	14 Aug →
anubis	13–9	0.03	18%	14 Aug →
inferno	13–6	-0.01	10%	14 Aug →
dust2	13–8	0.03	31%	11 Aug →
ancient	7–13	-0.03	30%	11 Aug →
dust2	5–13	-0.03	19%	11 Aug →
dust2	16–12	-0.01	21%	10 Aug →
inferno	13–4	0.05	16%	7 Aug →
mirage	13–4	0.02	11%	7 Aug →
inferno	10–13	-0.02	13%	31 Jul →
inferno	13–8	0.01	22%	31 Jul →
mirage	13–7	0.04	13%	31 Jul →
cache	7–13	-0.04	17%	24 Jul →
inferno	13–11	-0.01	17%	24 Jul →
mirage	8–13	-0.03	17%	24 Jul →
anubis	8–13	-0.03	8%	23 Jul →
nuke	9–13	-0.04	11%	23 Jul →
mirage	10–13	-0.00	17%	22 Jul →
ancient	5–13	-0.06	20%	22 Jul →
nuke	13–4	-0.01	12%	21 Jul →
dust2	4–13	-0.05	10%	21 Jul →
inferno	12–6	-0.01	11%	20 Jul →
inferno	13–11	-0.04	4%	20 Jul →
inferno	5–13	-0.07	23%	16 Jul →
dust2	10–13	0.01	16%	16 Jul →
dust2	13–4	0.06	13%	16 Jul →
inferno	8–13	-0.04	18%	10 Jul →
mirage	16–14	0.00	7%	9 Jul →
dust2	7–13	-0.05	18%	1 Jul →
inferno	11–13	-0.05	16%	1 Jul →
inferno	11–13	-0.03	26%	30 Jun →
dust2	13–8	-0.05	23%	30 Jun →
overpass	11–13	-0.03	11%	8 Jun →
inferno	8–13	-0.04	16%	8 Jun →
mirage	13–9	-0.06	26%	8 Jun →
inferno	16–13	-0.01	20%	31 May →
anubis	13–7	-0.07	8%	30 May →
mirage	13–10	-0.00	11%	29 May →
inferno	15–15	-0.01	7%	25 May →
mirage	7–13	-0.02	10%	21 May →
mirage	4–13	-0.06	19%	20 May →
overpass	13–5	-0.00	15%	20 May →
anubis	3–6	-0.00	6%	17 May →
inferno	5–13	-0.04	20%	17 May →
nuke	13–9	-0.04	19%	17 May →
anubis	7–13	-0.01	24%	13 May →
mirage	11–13	-0.04	13%	13 May →
mirage	13–4	0.04	29%	13 May →
mirage	13–1	0.07	24%	11 May →
dust2	13–11	-0.05	24%	9 May →
overpass	13–8	-0.02	14%	9 May →
inferno	13–8	0.02	15%	9 May →
ancient	6–13	-0.06	11%	9 May →
inferno	13–16	-0.02	16%	8 May →
anubis	9–13	-0.01	13%	8 May →
anubis	3–13	-0.06	26%	8 May →
anubis	13–3	0.04	21%	7 May →
overpass	8–13	-0.08	17%	6 May →
dust2	10–13	-0.02	30%	5 May →
inferno	13–6	-0.00	10%	5 May →
inferno	16–14	0.01	11%	3 May →
inferno	14–16	-0.02	19%	1 May →
inferno	16–13	-0.04	24%	1 May →
dust2	10–13	-0.04	2%	1 May →
ancient	11–13	-0.01	13%	28 Apr →
inferno	14–16	-0.03	14%	28 Apr →
mirage	13–10	-0.06	7%	22 Apr →
dust2	6–13	0.01	23%	20 Apr →
ancient	11–13	-0.06	14%	20 Apr →
inferno	13–2	0.12	27%	13 Apr →
anubis	13–11	-0.02	19%	13 Apr →
inferno	12–16	-0.05	16%	13 Apr →
mirage	13–7	0.03	10%	12 Apr →
inferno	13–10	0.05	20%	12 Apr →
anubis	15–15	0.01	15%	11 Apr →
ancient	13–10	-0.01	14%	11 Apr →
anubis	13–11	-0.05	16%	11 Apr →
dust2	9–13	-0.05	16%	10 Apr →
inferno	8–13	-0.01	22%	10 Apr →
mirage	6–13	-0.02	19%	9 Apr →
dust2	13–9	0.03	21%	9 Apr →
dust2	13–16	-0.07	23%	7 Apr →
inferno	14–16	-0.03	15%	7 Apr →
inferno	11–6	-0.06	6%	2 Apr →
mirage	0–13	-0.11	22%	2 Apr →
inferno	13–10	-0.02	22%	2 Apr →
ancient	10–13	-0.06	32%	31 Mar →
mirage	13–11	-0.06	15%	31 Mar →
overpass	13–11	-0.01	22%	24 Mar →
dust2	13–9	-0.04	19%	24 Mar →
mirage	4–13	-0.03	17%	23 Mar →
ancient	10–13	-0.01	14%	23 Mar →