Poo C 李书福 — CS2 Stats

CA76561198078970875[U:1:118705147]Steam profile ↗✓ No bans

2,294Tracked matches31%Win rate2020Tracked since

8,056Hours in CS30Hrs last 2 wks

CSDB Rating5.0 DevelopingHybrid Rifler

Premier CS Rating18,287Purple band · top ~15.3% of ranked players (population est.)

CSDB Leaderboard#26913 of 57341 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=2,669), 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	Level 4 median	Level 5 median	vs Level 5
Headshot rate	3.1%	42.7%	43.7%	40.7% short
Shot accuracy	12.7%	10.8%	11.8%	above
Kill/death ratio	1.05	1.00	1.02	above
Match win rate	41.7%	44.1%	45.0%	3.3% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim66

Positioning49

Utility62

0–100 skill scores via Leetify.

Recent form

COLD41–53–6Last 10041%Win rateLWLLLLWLLL

Last 10 vs previous 10: -20pp win rate · -0.07 avg rating

Player DNA

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

Aim6.6

Aggression5.2

Utility6.2

Positioning4.9

Opening Duels0.9

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.6

Positioning4.9

Utility6.2

Mechanics6.6

Opening Duels1.1

Win Impact0.0

Composite 5.0/10 (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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time498ms−33ms

first ⅓ avg 531ms → last ⅓ avg 498ms

Headshot accuracy6.9%−4.3%

first ⅓ avg 11.1% → last ⅓ avg 6.9%

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 15–15

13–2Biggest win — italy

3Longest win streak

8–4In matches decided by ≤2 rounds

15Overtime games

Map breakdown

infernoBest map · 63% over 16anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	11–13	46%	-0.01
cache	D	17	5–12	29%	-0.01
inferno	A	16	10–6	63%	0.00
ancient	B	13	7–6	54%	0.00
nuke	D	10	3–7	30%	-0.02
anubis	D	5	1–4	20%	-0.03
mirage	—	4	1–3	25%	-0.02
vertigo	—	3	1–2	33%	-0.01
train	—	2	1–1	50%	-0.05
office	—	2	0–2	0%	-0.02
fachwerk	—	1	0–1	0%	0.01
italy	—	1	1–0	100%	0.03
shelter	—	1	0–1	0%	-0.06
debris	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,410,464Lifetime kills

1.05K/D · Top 50% of Level 4 players

13,152Matches

41.7%Match win rate

3.1%Headshot %

12.7%Shot accuracy · Top 50% of Level 4 players

30,043MVPs

7,341Hours (in match)

11,986Bombs planted

1,954Bombs defused

Most-used weapons

Knife1,029,047

M4A4 / M4A1-S459,320

AK-47265,689

SSG 08220,594

Desert Eagle115,161

Dual Berettas74,533

P25043,673

P2000 / USP-S43,370

Tec-938,505

XM101435,271

Lifetime map wins

51,562dust2

7,100inferno

3,529nuke

3,077lake

2,539office

2,480vertigo

1,542safehouse

1,499ar_shoots

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

Faceit stats

Combat

55Matches

49%Win rate

0.94Avg K/D

74.1ADR

33%Headshot %

Clutches & streaks

30%1v1 clutch win

21%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	9	11%	0.81	14.0
Inferno	7	43%	1.00	14.9
Dust2	4	75%	0.75	13.5
Mirage	3	100%	0.68	10.3
Anubis	2	50%	1.19	16.0
Nuke	2	50%	0.86	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.

6.6%Headshot accuracy

33.3%Accuracy (enemy spotted)

56.9%Spray accuracy

79.9%Counter-strafing

13.3°Preaim

494msReaction time

38.4%T opening success

28.5%CT opening success

0.68Enemies flashed / flash

2.5%Flash assists

12.18HE damage / grenade

11.86Flashes / 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 13.2502° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 6.5896% — below the 15% mark we flag
Aim Training →

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.

20% win rate across 5 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
inferno	3–13	-0.09	0%	29 Aug →
cache	13–7	-0.07	13%	28 Aug →
cache	9–13	0.00	13%	28 Aug →
cache	10–13	-0.08	0%	27 Aug →
cache	7–13	-0.10	0%	27 Aug →
nuke	4–13	-0.02	8%	26 Aug →
nuke	13–11	-0.06	6%	26 Aug →
ancient	9–13	0.02	0%	26 Aug →
dust2	4–13	-0.05	0%	26 Aug →
dust2	5–13	-0.02	20%	26 Aug →
dust2	8–13	0.06	23%	25 Aug →
inferno	5–13	0.06	7%	25 Aug →
vertigo	8–13	-0.01	3%	25 Aug →
cache	7–13	0.03	0%	25 Aug →
dust2	13–8	0.05	7%	25 Aug →
cache	3–13	-0.02	8%	24 Aug →
mirage	4–13	-0.01	13%	24 Aug →
ancient	13–9	-0.03	5%	23 Aug →
cache	13–8	0.06	10%	23 Aug →
dust2	13–9	0.03	4%	23 Aug →
dust2	1–13	-0.00	0%	23 Aug →
nuke	15–15	0.00	6%	22 Aug →
dust2	10–13	-0.04	5%	21 Aug →
inferno	13–11	0.03	8%	21 Aug →
ancient	13–10	0.01	0%	21 Aug →
ancient	16–14	0.02	11%	20 Aug →
ancient	3–13	-0.02	5%	20 Aug →
dust2	2–13	-0.03	14%	20 Aug →
dust2	9–13	0.06	5%	20 Aug →
fachwerk	11–13	0.01	5%	20 Aug →
anubis	15–15	0.02	17%	19 Aug →
train	13–9	-0.09	0%	18 Aug →
dust2	16–13	-0.02	12%	18 Aug →
inferno	13–8	0.01	0%	18 Aug →
office	1–9	0.00	0%	18 Aug →
cache	8–13	0.02	3%	17 Aug →
nuke	6–13	0.04	20%	17 Aug →
dust2	12–16	-0.07	22%	17 Aug →
inferno	2–13	-0.05	5%	16 Aug →
train	7–13	0.00	0%	16 Aug →
mirage	13–11	0.00	0%	16 Aug →
inferno	13–4	0.06	14%	15 Aug →
inferno	15–15	-0.05	6%	15 Aug →
nuke	6–13	-0.11	0%	13 Aug →
office	9–13	-0.04	6%	12 Aug →
ancient	4–13	0.05	5%	12 Aug →
dust2	11–13	0.02	13%	12 Aug →
dust2	3–13	-0.04	0%	10 Aug →
anubis	4–13	-0.01	0%	10 Aug →
dust2	13–16	-0.03	17%	9 Aug →
italy	13–2	0.03	33%	9 Aug →
anubis	14–16	-0.06	7%	9 Aug →
inferno	13–8	0.01	0%	7 Aug →
inferno	5–13	-0.06	0%	5 Aug →
ancient	13–6	0.03	7%	4 Aug →
dust2	16–13	-0.04	8%	3 Aug →
cache	2–13	-0.01	0%	3 Aug →
ancient	13–8	-0.04	22%	3 Aug →
inferno	13–9	0.08	13%	3 Aug →
cache	5–13	-0.01	6%	3 Aug →
cache	13–11	0.02	10%	3 Aug →
dust2	13–8	0.00	8%	2 Aug →
ancient	8–13	-0.04	18%	2 Aug →
dust2	13–11	-0.00	12%	2 Aug →
cache	13–4	0.05	3%	31 Jul →
cache	5–13	0.01	29%	31 Jul →
nuke	7–13	-0.01	23%	31 Jul →
ancient	13–11	0.04	6%	31 Jul →
dust2	16–12	0.03	7%	31 Jul →
mirage	7–13	-0.04	10%	30 Jul →
dust2	13–10	-0.06	8%	30 Jul →
anubis	3–7	0.02	20%	30 Jul →
vertigo	13–9	0.01	13%	29 Jul →
vertigo	12–12	-0.04	0%	29 Jul →
dust2	13–3	0.04	4%	27 Jul →
inferno	16–14	-0.02	23%	27 Jul →
nuke	8–13	-0.02	32%	24 Jul →
dust2	13–10	-0.01	4%	24 Jul →
anubis	13–9	-0.09	0%	22 Jul →
cache	12–16	-0.01	27%	21 Jul →
cache	9–13	-0.04	7%	21 Jul →
ancient	13–7	-0.04	7%	20 Jul →
ancient	6–13	-0.05	8%	20 Jul →
inferno	13–6	-0.02	7%	19 Jul →
dust2	13–6	0.04	0%	18 Jul →
nuke	9–13	-0.06	20%	18 Jul →
nuke	13–3	0.02	0%	18 Jul →
dust2	13–16	-0.02	8%	17 Jul →
nuke	13–7	0.02	6%	17 Jul →
inferno	13–9	0.00	23%	17 Jul →
inferno	8–13	0.06	13%	17 Jul →
inferno	13–10	-0.00	8%	17 Jul →
cache	15–15	0.03	0%	16 Jul →
inferno	13–10	-0.02	7%	16 Jul →
cache	13–6	-0.01	25%	16 Jul →
ancient	15–15	0.09	30%	15 Jul →
mirage	2–13	-0.02	0%	15 Jul →
dust2	4–13	-0.02	32%	14 Jul →
shelter	6–13	-0.06	0%	14 Jul →
debris	7–9	-0.02	12%	14 Jul →