TAI LUNG — CS2 Stats

76561198272147778[U:1:311882050]

740Tracked matches50%Win rate2023Tracked since

CSDB Rating4.8 DevelopingPassive Rifler

Premier CS Rating15,403Purple band · top ~26.8% of ranked players (population est.)

FaceitLevel 3 · 609 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim60

Positioning46

Utility33

0–100 skill scores via Leetify.

Recent form

HOT53–43–4Last 10053%Win rateLWWWWWWLWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

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

Aim6.0

Aggression4.4

Utility3.3

Positioning4.6

Opening Duels1.8

Clutch2.2

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 NiKo 83% playstyle similarity

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

Where you differ: lower utility contribution; 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

Reaction time. 609ms 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

Aim6.0

Positioning4.6

Utility3.3

Mechanics6.3

Opening Duels1.8

Win Impact5.0

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 rating-0.02+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time613ms+23ms

first ⅓ avg 590ms → last ⅓ avg 613ms

Headshot accuracy14.2%−1.9%

first ⅓ avg 16.0% → last ⅓ avg 14.2%

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

0.08Best rating — anubis 13–4

13–1Biggest win — ancient

6Longest win streak

8–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 61% over 28cacheWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	28	17–11	61%	-0.01
anubis	A	22	13–9	59%	-0.03
mirage	A	16	9–7	56%	-0.02
inferno	C	15	6–9	40%	-0.04
cache	C	8	3–5	38%	-0.01
dust2	A	7	4–3	57%	-0.04
nuke	—	3	0–3	0%	-0.04
shelter	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

95Matches

49%Win rate

0.78Avg K/D

66.2ADR

49%Headshot %

Clutches & streaks

31%1v1 clutch win

27%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	26	58%	0.76	13.0
Mirage	24	50%	0.86	12.1
Anubis	17	47%	0.70	11.2
Inferno	10	40%	0.73	11.5
Dust2	10	50%	0.79	11.6
Cache	3	33%	0.87	17.3
Overpass	2	50%	0.90	12.5
Nuke	2	50%	0.98	11.5

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.

13.9%Headshot accuracy

33.2%Accuracy (enemy spotted)

38.6%Spray accuracy

78.4%Counter-strafing

9.8°Preaim

609msReaction time

30.5%T opening success

43.9%CT opening success

0.55Enemies flashed / flash

3.6%Flash assists

4.19HE damage / grenade

2.45Flashes / 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.

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 13.9061% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.4518 — below the 4 mark we flag
Grenade Lineups →
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 30.5034% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

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

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 →

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