wan tep — CS2 Stats

76561198002207857[U:1:41942129]Steam profile ↗✓ No bans

489Tracked matches59%Win rate2021Tracked since

CSDB Rating5.9 SolidHybrid Rifler

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning52

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWLWWLTWLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.5

Aggression5.1

Utility4.6

Positioning5.2

Opening Duels2.5

Clutch4.4

Strong CT-side openerLimited 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 87% playstyle similarity

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

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

T-side openings. Opening success drops from 55% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim6.5

Positioning5.2

Utility4.6

Mechanics7.5

Opening Duels3.1

Win Impact7.9

Composite 5.9/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time606ms−15ms

first ⅓ avg 622ms → last ⅓ avg 606ms

Headshot accuracy12.8%−4.9%

first ⅓ avg 17.7% → last ⅓ avg 12.8%

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

0.20Best rating — ancient 13–5

13–1Biggest win — nuke

7Longest win streak

8–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 67% over 6anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	23	11–12	48%	0.00
mirage	C	16	7–9	44%	-0.02
nuke	D	12	4–8	33%	-0.00
inferno	A	12	7–5	58%	0.01
anubis	D	9	2–7	22%	-0.03
ancient	A	9	5–4	56%	0.02
vertigo	B	6	3–3	50%	-0.03
dust2	S	6	4–2	67%	0.02
train	—	2	0–2	0%	-0.04
overpass	—	2	1–1	50%	-0.10
fachwerk	—	1	1–0	100%	-0.04
italy	—	1	1–0	100%	0.02
office	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

49Matches

59%Win rate

1.03Avg K/D

81.3ADR

30%Headshot %

Clutches & streaks

42%1v1 clutch win

14%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	50%	1.15	19.0
Nuke	8	50%	1.09	17.8
Inferno	8	62%	0.98	15.0
Cache	8	88%	0.91	16.8
Anubis	7	43%	1.02	15.6
Dust2	6	50%	0.99	15.7
Ancient	2	100%	1.27	11.5
Overpass	1	0%	0.61	11.0

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.

12.2%Headshot accuracy

38.0%Accuracy (enemy spotted)

38.1%Spray accuracy

83.6%Counter-strafing

11.3°Preaim

597msReaction time

24.5%T opening success

55.1%CT opening success

0.62Enemies flashed / flash

4.8%Flash assists

7.29HE damage / grenade

4.43Flashes / 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 12.1955% — below the 15% mark we flag
Aim Training →
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 24.5234% — below the 40% mark we flag

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.

22% win rate across 9 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
cache	6–13	-0.02	27%	25 Aug →
nuke	13–2	0.08	20%	25 Aug →
nuke	8–13	-0.05	14%	22 Aug →
vertigo	13–8	0.01	10%	22 Aug →
inferno	13–7	-0.02	13%	14 Aug →
train	2–13	-0.03	11%	14 Aug →
nuke	12–12	-0.03	14%	13 Aug →
fachwerk	13–8	-0.04	5%	11 Aug →
mirage	1–13	-0.09	16%	9 Aug →
dust2	13–8	0.02	27%	9 Aug →
cache	13–9	0.04	19%	6 Aug →
cache	13–8	0.01	9%	6 Aug →
anubis	10–13	-0.02	17%	6 Aug →
ancient	13–6	-0.05	6%	6 Aug →
cache	10–13	-0.01	6%	5 Aug →
anubis	8–13	0.00	15%	5 Aug →
cache	16–13	0.01	8%	5 Aug →
anubis	13–5	0.01	6%	5 Aug →
mirage	13–11	-0.00	8%	5 Aug →
inferno	13–10	-0.02	6%	4 Aug →
cache	16–14	-0.02	12%	4 Aug →
nuke	13–4	-0.01	12%	4 Aug →
inferno	11–13	0.01	9%	4 Aug →
nuke	7–13	-0.05	8%	4 Aug →
cache	16–13	-0.01	16%	2 Aug →
cache	3–13	-0.01	7%	1 Aug →
anubis	11–13	-0.05	7%	1 Aug →
nuke	13–1	0.15	20%	29 Jul →
cache	9–13	-0.06	6%	29 Jul →
inferno	13–4	0.13	16%	29 Jul →
dust2	16–13	0.03	18%	26 Jul →
mirage	8–13	0.03	8%	24 Jul →
dust2	13–10	0.08	22%	24 Jul →
mirage	13–8	-0.02	21%	23 Jul →
mirage	13–5	-0.01	11%	22 Jul →
mirage	15–15	0.04	15%	21 Jul →
cache	14–16	0.01	15%	21 Jul →
anubis	8–13	-0.03	18%	20 Jul →
ancient	13–10	0.02	24%	20 Jul →
mirage	2–13	-0.02	27%	20 Jul →
mirage	0–13	-0.07	11%	15 Jul →
nuke	13–11	0.06	27%	14 Jul →
inferno	13–4	0.12	32%	14 Jul →
cache	13–9	0.04	16%	13 Jul →
nuke	10–13	-0.02	15%	13 Jul →
cache	10–13	-0.07	8%	12 Jul →
cache	11–13	-0.05	20%	11 Jul →
cache	6–13	-0.04	19%	10 Jul →
cache	13–6	0.05	18%	6 Jul →
ancient	7–13	-0.01	16%	3 Jul →
nuke	3–13	-0.02	15%	3 Jul →
anubis	3–13	-0.07	18%	3 Jul →
mirage	5–13	-0.03	9%	3 Jul →
dust2	13–6	-0.03	22%	3 Jul →
anubis	13–10	-0.06	7%	3 Jul →
mirage	13–8	0.03	20%	2 Jul →
ancient	8–13	0.02	14%	2 Jul →
inferno	4–13	-0.05	13%	2 Jul →
ancient	7–13	-0.03	14%	14 Jun →
inferno	8–13	-0.07	16%	12 Jun →
vertigo	11–13	-0.01	15%	12 Jun →
mirage	13–10	-0.07	21%	12 Jun →
overpass	1–13	-0.13	25%	12 Jun →
cache	11–13	-0.02	24%	12 Jun →
ancient	13–8	-0.00	24%	12 Jun →
train	12–12	-0.05	23%	12 Jun →
inferno	13–11	0.04	14%	12 Jun →
cache	4–13	-0.07	33%	11 Jun →
vertigo	9–13	-0.04	14%	11 Jun →
ancient	13–5	0.20	8%	11 Jun →
mirage	5–13	-0.02	23%	10 Jun →
ancient	13–8	0.03	13%	10 Jun →
nuke	12–12	-0.03	12%	8 Jun →
mirage	4–13	-0.02	39%	8 Jun →
anubis	9–13	-0.07	18%	8 Jun →
cache	9–13	-0.01	33%	8 Jun →
inferno	4–2	0.01	0%	8 Jun →
cache	13–6	0.07	11%	6 Jun →
mirage	13–7	0.02	23%	6 Jun →
cache	13–9	0.03	7%	5 Jun →
overpass	13–11	-0.07	18%	4 Jun →
inferno	13–11	0.03	14%	4 Jun →
mirage	13–10	-0.00	13%	3 Jun →
dust2	11–13	0.04	17%	3 Jun →
vertigo	13–10	-0.03	10%	3 Jun →
ancient	6–13	-0.02	17%	2 Jun →
cache	13–4	0.04	18%	2 Jun →
vertigo	13–8	-0.00	15%	2 Jun →
inferno	9–13	-0.05	7%	1 Jun →
vertigo	2–13	-0.08	13%	29 May →
italy	13–11	0.02	11%	29 May →
nuke	11–13	-0.06	18%	29 May →
dust2	8–13	-0.01	24%	25 May →
nuke	5–13	-0.03	8%	25 May →
cache	13–3	0.02	20%	25 May →
anubis	5–13	-0.03	47%	24 May →
inferno	11–13	-0.02	17%	24 May →
mirage	9–13	-0.02	15%	24 May →
cache	7–13	0.09	20%	24 May →
office	8–13	-0.10	29%	23 May →