Alibaba Express — CS2 Stats

TJ76561199481477011[U:1:1521211283]Steam profile ↗✓ No bans

627Tracked matches43%Win rate2023Tracked since

CSDB Rating5.1 DevelopingPositional Player

Premier CS Rating1,413Grey band · top ~94% of ranked players (population est.)

CSDB Leaderboard#180457 of 225634 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 1,413 → 1,413

+10Tracked matches · now 627

−6.7ppWin rate · 50.0% → 43.3%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 28 days played since 27 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 1,413 -1,236 3 Jun – 6 Sept · 5 days played

3,649Peak Premier in tracked matches

28Days played since 2026-05-27

Premier CS Rating

1,236 below peak (2,649)
-1,000 over 90 days
Next: Light Blue band at 5,000 — 3,587 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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

Aim76

Positioning55

Utility49

0–100 skill scores via Leetify.

Recent form

COLD49–51Last 10049%Win rateLLWWLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −2.6pp headshot accuracy · −21ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 17%
Avg reaction 581ms

Last 10

2–8 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 21%
Avg reaction 608ms

Last 20

8–12 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 22%
Avg reaction 618ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim7.6

Utility4.9

Positioning5.5

Opening Duels4.8

Clutch2.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 96% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

T-side openings. Opening success drops from 55% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim7.6

Positioning5.5

Utility4.9

Mechanics5.9

Opening Duels3.7

Win Impact2.8

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time641ms+1ms

first ⅓ avg 640ms → last ⅓ avg 641ms

Headshot accuracy21.3%−0.8%

first ⅓ avg 22.1% → last ⅓ avg 21.3%

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.

Personal bests

0.11Best match rating · 13–8 · nuke, 3 Jun →

56%Best headshot accuracy · 8–0 · dust2, 28 May →

461msFastest reaction time · 8–13 · anubis, 31 May →

13–2Biggest win · dust2, 31 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L2Current streak

3–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 69% over 16infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	13–14	48%	-0.00
nuke	B	17	8–9	47%	-0.00
dust2	S	16	11–5	69%	-0.00
vertigo	B	11	5–6	45%	-0.02
anubis	A	10	6–4	60%	0.00
inferno	D	6	1–5	17%	-0.02
cache	—	4	3–1	75%	0.01
ancient	—	4	1–3	25%	-0.02
overpass	—	3	1–2	33%	-0.04
poseidon	—	1	0–1	0%	-0.06
train	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

222Matches

44%Win rate

0.98Avg K/D

86.2ADR

51%Headshot %

Clutches & streaks

34%1v1 clutch win

32%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	75	52%	1.05	16.6
Anubis	34	38%	0.94	14.8
Dust2	26	46%	1.07	14.5
Nuke	26	54%	0.98	16.2
Inferno	22	32%	1.04	12.2
Vertigo	18	33%	0.85	16.1
Ancient	9	22%	0.70	11.1
Overpass	7	29%	0.74	11.6

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.

22.4%Headshot accuracy

38.9%Accuracy (enemy spotted)

38.7%Spray accuracy

76.5%Counter-strafing

9.9°Preaim

626msReaction time

34.3%T opening success

55.0%CT opening success

0.61Enemies flashed / flash

6.6%Flash assists

6.74HE damage / grenade

16.47Flashes / 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 34.269% — below the 40% mark we flag

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.

17% win rate across 6 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
inferno	2–13	-0.15	8%	12 Sept →
dust2	10–13	0.01	21%	7 Sept →
mirage	13–6	0.03	15%	7 Sept →
vertigo	13–7	0.02	24%	5 Sept →
inferno	10–13	0.04	18%	5 Sept →
nuke	4–9	-0.06	15%	5 Sept →
inferno	8–13	-0.06	27%	5 Sept →
nuke	20–22	-0.02	30%	4 Sept →
mirage	6–13	0.03	22%	4 Sept →
dust2	9–13	-0.00	26%	4 Sept →
dust2	13–11	-0.05	35%	4 Sept →
dust2	13–7	0.01	31%	4 Sept →
dust2	1–13	-0.08	12%	3 Sept →
mirage	5–13	0.03	16%	3 Sept →
mirage	13–4	0.04	19%	3 Sept →
inferno	12–16	-0.02	37%	3 Sept →
mirage	13–5	0.11	17%	2 Sept →
anubis	9–13	-0.00	21%	2 Sept →
dust2	19–15	0.10	18%	2 Sept →
nuke	13–6	0.01	26%	2 Sept →
overpass	9–13	-0.04	31%	2 Sept →
cache	7–13	-0.05	12%	2 Sept →
dust2	13–2	-0.01	5%	31 Aug →
vertigo	13–16	0.01	14%	28 Aug →
nuke	13–6	-0.01	20%	23 Aug →
dust2	13–5	0.10	31%	22 Aug →
mirage	4–13	-0.06	36%	6 Jul →
ancient	10–13	-0.01	14%	6 Jul →
nuke	13–5	0.04	16%	20 Jun →
dust2	13–11	-0.02	27%	17 Jun →
nuke	13–9	-0.04	38%	16 Jun →
vertigo	13–5	0.06	13%	16 Jun →
poseidon	7–9	-0.06	12%	13 Jun →
mirage	13–7	-0.06	26%	13 Jun →
mirage	1–13	-0.07	27%	12 Jun →
mirage	12–13	-0.06	15%	9 Jun →
nuke	1–13	-0.03	32%	8 Jun →
inferno	7–13	0.02	30%	7 Jun →
mirage	4–13	-0.05	19%	7 Jun →
inferno	9–6	0.04	12%	7 Jun →
nuke	1–9	-0.07	29%	7 Jun →
vertigo	2–9	-0.15	27%	6 Jun →
nuke	10–13	-0.03	12%	4 Jun →
mirage	2–13	-0.04	50%	3 Jun →
nuke	13–8	0.11	27%	3 Jun →
mirage	13–10	-0.03	17%	1 Jun →
mirage	12–16	-0.06	21%	1 Jun →
dust2	9–13	-0.03	15%	1 Jun →
dust2	11–13	-0.01	23%	1 Jun →
vertigo	13–10	-0.01	16%	1 Jun →
anubis	6–13	0.00	19%	31 May →
mirage	10–13	0.02	22%	31 May →
anubis	8–13	-0.04	17%	31 May →
vertigo	11–13	-0.03	27%	31 May →
mirage	3–13	0.02	27%	31 May →
ancient	10–13	-0.01	9%	31 May →
cache	16–13	0.05	22%	31 May →
ancient	4–13	-0.11	20%	31 May →
anubis	9–13	-0.05	21%	30 May →
mirage	13–6	-0.01	28%	30 May →
nuke	10–13	-0.04	20%	30 May →
dust2	16–13	-0.04	17%	30 May →
anubis	16–12	0.06	32%	30 May →
anubis	13–8	0.00	19%	30 May →
dust2	19–17	0.00	19%	30 May →
mirage	11–13	0.00	21%	30 May →
nuke	4–13	-0.04	38%	30 May →
vertigo	14–16	-0.01	29%	30 May →
overpass	13–5	-0.07	25%	30 May →
vertigo	13–10	-0.06	11%	30 May →
mirage	6–13	-0.06	14%	30 May →
train	6–13	0.02	31%	30 May →
mirage	13–4	-0.02	23%	30 May →
dust2	13–4	-0.01	21%	29 May →
mirage	13–2	0.05	36%	29 May →
mirage	13–9	0.03	24%	29 May →
cache	13–5	0.07	30%	29 May →
mirage	7–2	0.02	4%	29 May →
vertigo	9–13	0.02	18%	29 May →
mirage	13–10	0.01	34%	29 May →
mirage	14–16	-0.02	20%	29 May →
overpass	3–13	-0.03	26%	29 May →
vertigo	13–6	-0.04	26%	29 May →
mirage	13–6	0.03	18%	29 May →
nuke	7–13	0.00	24%	29 May →
nuke	13–3	0.07	23%	29 May →
anubis	13–10	0.02	14%	29 May →
anubis	13–8	0.02	18%	28 May →
nuke	10–13	-0.03	11%	28 May →
cache	13–7	-0.01	14%	28 May →
mirage	5–13	-0.01	24%	28 May →
dust2	8–0	0.02	56%	28 May →
vertigo	0–8	-0.05	20%	28 May →
nuke	16–12	0.02	15%	28 May →
dust2	13–3	-0.07	19%	28 May →
ancient	13–10	0.05	28%	28 May →
nuke	13–3	0.05	16%	27 May →
mirage	13–4	0.05	20%	27 May →
anubis	13–9	-0.03	17%	27 May →
anubis	13–4	0.03	20%	27 May →