冰堂伊吹 — CS2 Stats

CN76561199199683478[U:1:1239417750]Steam profile ↗

536Tracked matches46%Win rate2024Tracked since

952Hours in CS59Hrs last 2 wks

CSDB Rating4.8 DevelopingHybrid Rifler

Premier CS Rating19,015Purple band · top ~12.4% of ranked players (population est.)

CSDB Leaderboard#13977 of 30186 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Purple band median	Pink band median	vs Pink band
Headshot rate	48.3%	44.1%	47.2%	above
Shot accuracy	0.6%	11.4%	12.7%	12.1% short
Kill/death ratio	0.98	1.03	1.09	0.11 short
Match win rate	42.7%	45.2%	46.6%	3.9% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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

Aim66

Positioning61

Utility14

0–100 skill scores via Leetify.

Recent form

STEADY51–38–11Last 10051%Win rateTWLWWLWLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

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

Aim6.6

Aggression8.5

Utility1.4

Positioning6.1

Opening Duels3.5

Clutch0.0

Limited utility dependence

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 82% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim6.6

Positioning6.1

Utility1.4

Mechanics4.5

Opening Duels3.5

Win Impact3.7

Composite 4.8/10 (Developing), 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 rating0.03−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time528ms−32ms

first ⅓ avg 560ms → last ⅓ avg 528ms

Headshot accuracy23.7%+6.5%

first ⅓ avg 17.2% → last ⅓ avg 23.7%

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

0.19Best rating — mirage 13–3

13–2Biggest win — dust2

8Longest win streak

6–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 60% over 35infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	35	21–14	60%	0.05
mirage	C	16	7–9	44%	0.04
ancient	B	15	8–7	53%	0.02
inferno	D	12	4–8	33%	0.04
cache	A	7	4–3	57%	0.03
anubis	A	7	4–3	57%	0.03
nuke	—	4	2–2	50%	0.04
vertigo	—	2	0–2	0%	0.04
office	—	1	0–1	0%	-0.02
overpass	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,536Lifetime kills

0.98K/D

1,404Matches

42.7%Match win rate

48.3%Headshot % · Top 50% of Purple band

0.6%Shot accuracy

3,465MVPs

465Hours (in match)

536Bombs planted

296Bombs defused

Most-used weapons

AK-4710,027

AWP5,012

M4A4 / M4A1-S4,251

P2000 / USP-S1,081

Glock-18984

Desert Eagle809

Galil AR599

MAC-10588

FAMAS530

MP9422

Lifetime map wins

4,604dust2

1,284inferno

654nuke

127train

86vertigo

85office

41italy

22assault

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

Faceit stats

Combat

8Matches

25%Win rate

1.01Avg K/D

88.1ADR

60%Headshot %

Clutches & streaks

0%1v1 clutch win

40%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	33%	0.94	14.0
Mirage	2	0%	1.02	17.5
Dust2	1	100%	1.57	22.0
Ancient	1	0%	0.89	16.0
Nuke	1	0%	0.78	18.0

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.

24.4%Headshot accuracy

31.1%Accuracy (enemy spotted)

29.4%Spray accuracy

70.2%Counter-strafing

9.7°Preaim

526msReaction time

47.5%T opening success

40.7%CT opening success

0.31Enemies flashed / flash

2.5%Flash assists

3.42HE damage / grenade

2.84Flashes / 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 0.3114 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	12–12	-0.02	50%	29 Aug →
dust2	13–2	0.11	18%	29 Aug →
dust2	11–13	-0.01	19%	29 Aug →
inferno	13–7	0.01	16%	29 Aug →
ancient	13–5	0.09	23%	29 Aug →
dust2	14–16	0.00	19%	27 Aug →
mirage	13–11	0.00	16%	27 Aug →
inferno	2–13	-0.03	20%	27 Aug →
dust2	13–3	0.01	17%	27 Aug →
dust2	13–6	0.02	22%	27 Aug →
mirage	9–13	0.05	23%	27 Aug →
dust2	13–9	-0.00	23%	24 Aug →
mirage	9–13	0.05	20%	24 Aug →
ancient	3–13	-0.08	14%	24 Aug →
ancient	13–4	0.01	29%	24 Aug →
mirage	3–13	0.04	18%	22 Aug →
ancient	7–13	-0.04	35%	22 Aug →
mirage	9–13	0.12	15%	22 Aug →
mirage	13–4	0.06	33%	22 Aug →
inferno	7–13	-0.06	18%	22 Aug →
dust2	12–12	0.12	27%	22 Aug →
dust2	12–12	0.08	14%	22 Aug →
ancient	13–3	0.13	40%	22 Aug →
vertigo	11–13	0.09	20%	22 Aug →
nuke	12–12	0.05	15%	22 Aug →
dust2	2–13	-0.02	25%	22 Aug →
dust2	13–11	0.03	42%	21 Aug →
cache	7–13	0.04	67%	21 Aug →
nuke	13–11	0.02	16%	21 Aug →
ancient	8–13	-0.00	20%	21 Aug →
dust2	13–4	-0.02	15%	21 Aug →
dust2	10–13	0.05	25%	21 Aug →
ancient	13–16	-0.03	9%	21 Aug →
inferno	6–13	0.11	34%	21 Aug →
dust2	12–12	0.14	33%	21 Aug →
dust2	13–10	0.06	15%	21 Aug →
anubis	13–9	-0.01	17%	21 Aug →
dust2	8–13	0.08	25%	21 Aug →
mirage	13–3	0.19	14%	21 Aug →
inferno	8–13	0.08	24%	21 Aug →
dust2	13–10	0.04	12%	20 Aug →
dust2	6–13	-0.08	29%	20 Aug →
anubis	7–13	-0.00	9%	20 Aug →
mirage	13–10	-0.00	24%	20 Aug →
ancient	13–9	0.12	24%	19 Aug →
dust2	5–13	-0.02	26%	19 Aug →
anubis	13–3	0.07	19%	19 Aug →
dust2	16–13	-0.06	16%	19 Aug →
dust2	13–5	0.07	25%	18 Aug →
anubis	11–13	0.05	22%	18 Aug →
mirage	13–9	0.07	15%	18 Aug →
anubis	8–13	0.02	21%	18 Aug →
mirage	16–12	0.09	21%	17 Aug →
cache	13–11	0.03	23%	17 Aug →
inferno	7–13	0.01	11%	17 Aug →
ancient	13–10	0.06	11%	17 Aug →
mirage	11–13	-0.04	14%	17 Aug →
inferno	10–13	0.04	22%	17 Aug →
inferno	12–12	0.11	13%	17 Aug →
mirage	9–13	0.01	22%	17 Aug →
nuke	13–10	0.05	19%	17 Aug →
dust2	9–13	0.16	15%	17 Aug →
dust2	12–12	0.02	30%	17 Aug →
dust2	13–6	0.17	21%	17 Aug →
inferno	13–7	0.07	25%	16 Aug →
cache	13–11	0.01	26%	16 Aug →
mirage	13–10	0.02	20%	16 Aug →
ancient	13–9	0.01	13%	16 Aug →
anubis	13–5	0.06	14%	16 Aug →
ancient	13–4	0.08	18%	16 Aug →
dust2	13–10	0.03	19%	14 Aug →
mirage	7–13	-0.03	10%	14 Aug →
overpass	13–8	0.00	16%	13 Aug →
anubis	13–2	0.05	23%	13 Aug →
dust2	13–11	0.06	22%	13 Aug →
inferno	5–13	0.01	22%	13 Aug →
dust2	3–13	0.02	14%	13 Aug →
dust2	13–10	0.06	20%	13 Aug →
dust2	2–13	-0.00	10%	13 Aug →
mirage	15–15	0.02	14%	8 Aug →
dust2	16–13	0.05	19%	7 Aug →
cache	8–13	0.03	13%	6 Aug →
ancient	7–13	0.02	10%	5 Aug →
cache	13–10	0.07	13%	5 Aug →
dust2	13–8	0.12	21%	5 Aug →
cache	1–13	0.01	26%	4 Aug →
mirage	9–13	0.05	12%	4 Aug →
ancient	16–13	0.06	16%	4 Aug →
nuke	12–12	0.05	14%	3 Aug →
dust2	13–5	0.17	23%	3 Aug →
dust2	8–1	0.07	21%	3 Aug →
cache	13–6	0.05	21%	3 Aug →
inferno	13–5	0.10	17%	3 Aug →
inferno	13–10	0.02	14%	3 Aug →
vertigo	12–12	-0.01	18%	3 Aug →
ancient	10–13	-0.04	19%	3 Aug →
ancient	12–12	-0.06	13%	2 Aug →
dust2	13–7	0.11	24%	2 Aug →
dust2	13–7	0.08	20%	1 Aug →
dust2	13–8	0.12	18%	1 Aug →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

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

Explore CSDB.gg

Sensitivity ConverterConvert sensitivity between CS2 and other games eDPI CalculatorCalculate your effective DPI cm/360 CalculatorMouse distance per full turn Resolution CalculatorCompare aspect ratios and resolutions Crosshair GeneratorBuild and preview custom crosshairs

Tools

Sticker Craft MakerPlan and price a CS2 sticker craft with live prices on every piece CS2 Stats TrackerLook up any player: Premier rating, Faceit level, matches and skill breakdown Trust Factor CheckerEstimate your CS2 Trust Factor from the signals Valve has acknowledged

Learn & Explore

Most Traded CS2 SkinsRanked by completed sales — transaction data, not listings Cheapest Knives in CS2Every knife type ranked by its cheapest live price Cheapest Gloves in CS2Every glove model ranked by its cheapest live price