Wat Tambor — CS2 Stats

AU76561198415494511[U:1:455228783]Steam profile ↗✓ No bans

2,852Tracked matches57%Win rate2020Tracked since

CSDB Rating7.0 StrongHybrid Rifler

Premier CS Rating23,652Top 50% of 819 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)

CSDB Leaderboard#4645 of 21176 tracked

FaceitLevel 9 · 1,434 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning60

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY63–36–1Last 10063%Win rateWWLWLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

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

Aim9.3

Aggression4.5

Utility5.1

Positioning6.0

Opening Duels1.4

Clutch3.6

Sharp aimer

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 96% playstyle similarity

Most alike: aim profile, positioning 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim9.3

Positioning6.0

Utility5.1

Mechanics8.3

Opening Duels1.4

Win Impact7.2

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time483ms−52ms

first ⅓ avg 535ms → last ⅓ avg 483ms

Headshot accuracy14.7%−4.4%

first ⅓ avg 19.1% → last ⅓ avg 14.7%

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

0.13Best rating — dust2 13–1

13–0Biggest win — ancient

9Longest win streak

W2Current streak

9–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 77% over 13nukeWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	20	14–6	70%	0.02
dust2	A	18	10–8	56%	0.02
ancient	S	17	11–6	65%	0.01
anubis	S	13	10–3	77%	0.02
inferno	B	11	5–6	45%	0.02
cache	A	11	7–4	64%	0.02
nuke	C	7	3–4	43%	0.00
vertigo	—	2	2–0	100%	0.03
train	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

202Matches

56%Win rate

1.23Avg K/D

82.6ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	58	40%	1.09	16.6
Dust2	31	77%	1.33	17.5
Anubis	28	71%	1.38	17.5
Inferno	26	54%	1.18	18.1
Ancient	21	62%	1.31	18.7
Cache	15	53%	1.20	17.5
Nuke	10	50%	1.26	17.3
Vertigo	4	100%	1.31	18.3

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.

14.2%Headshot accuracy

43.0%Accuracy (enemy spotted)

45.8%Spray accuracy

87.4%Counter-strafing

8.3°Preaim

477msReaction time

34.9%T opening success

36.4%CT opening success

0.63Enemies flashed / flash

7.2%Flash assists

8.87HE damage / grenade

6.59Flashes / 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 14.1946% — 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 34.9049% — below the 40% mark we flag

Spend your practice time on Nuke

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	-0.02	18%	27 Aug →
cache	13–7	0.01	17%	26 Aug →
mirage	7–13	0.05	11%	26 Aug →
inferno	13–8	0.08	16%	25 Aug →
nuke	8–13	-0.04	10%	25 Aug →
dust2	13–8	0.02	7%	24 Aug →
ancient	13–5	0.04	24%	24 Aug →
inferno	7–13	-0.03	6%	23 Aug →
dust2	7–13	0.02	16%	23 Aug →
vertigo	13–1	0.07	9%	21 Aug →
nuke	14–16	-0.04	15%	19 Aug →
ancient	13–7	0.04	11%	19 Aug →
inferno	13–9	-0.02	11%	19 Aug →
mirage	13–16	-0.02	14%	19 Aug →
mirage	13–11	-0.01	11%	19 Aug →
mirage	5–13	-0.04	19%	18 Aug →
ancient	13–11	0.03	15%	18 Aug →
nuke	4–13	-0.08	10%	16 Aug →
mirage	11–13	-0.04	17%	15 Aug →
anubis	13–6	-0.02	15%	15 Aug →
mirage	13–3	-0.01	12%	15 Aug →
ancient	9–13	-0.05	14%	15 Aug →
cache	16–13	0.02	20%	15 Aug →
cache	8–13	-0.05	27%	14 Aug →
dust2	13–9	0.13	17%	12 Aug →
mirage	9–13	0.02	9%	12 Aug →
cache	13–5	-0.01	11%	12 Aug →
mirage	13–2	0.08	13%	11 Aug →
anubis	13–7	0.09	15%	11 Aug →
nuke	10–13	0.01	10%	10 Aug →
ancient	13–10	0.04	12%	10 Aug →
vertigo	16–14	-0.01	29%	10 Aug →
dust2	13–11	0.02	23%	9 Aug →
anubis	11–13	-0.02	15%	9 Aug →
anubis	13–8	0.03	25%	9 Aug →
dust2	9–13	-0.02	13%	9 Aug →
inferno	2–13	0.05	31%	8 Aug →
anubis	13–8	0.01	22%	4 Aug →
cache	8–13	-0.02	21%	4 Aug →
ancient	8–13	0.01	18%	4 Aug →
dust2	13–16	-0.02	17%	3 Aug →
dust2	10–13	-0.04	24%	3 Aug →
dust2	13–11	0.03	32%	2 Aug →
dust2	13–11	0.02	20%	2 Aug →
dust2	13–8	0.02	18%	1 Aug →
ancient	13–1	0.06	16%	1 Aug →
anubis	13–6	-0.02	12%	1 Aug →
mirage	13–1	0.05	18%	1 Aug →
cache	13–11	0.10	16%	31 Jul →
mirage	13–2	0.03	13%	31 Jul →
inferno	13–8	0.03	18%	25 Jul →
ancient	11–13	0.02	10%	25 Jul →
inferno	8–13	0.02	20%	25 Jul →
nuke	13–6	0.08	17%	25 Jul →
mirage	13–4	-0.00	46%	25 Jul →
dust2	10–13	-0.04	21%	25 Jul →
nuke	13–10	0.12	22%	24 Jul →
mirage	13–1	0.05	24%	24 Jul →
dust2	0–13	-0.09	33%	24 Jul →
ancient	13–11	0.06	23%	24 Jul →
mirage	13–2	0.03	15%	24 Jul →
ancient	13–8	0.02	14%	24 Jul →
anubis	13–2	0.06	17%	24 Jul →
anubis	5–13	-0.01	20%	23 Jul →
ancient	13–10	0.01	24%	23 Jul →
mirage	13–2	-0.01	12%	23 Jul →
dust2	5–13	0.04	23%	23 Jul →
inferno	9–13	0.06	13%	18 Jul →
dust2	6–13	-0.09	25%	18 Jul →
ancient	1–13	-0.05	16%	18 Jul →
mirage	13–10	0.01	22%	18 Jul →
ancient	8–13	-0.04	14%	18 Jul →
anubis	13–2	0.03	23%	18 Jul →
dust2	13–6	0.07	21%	18 Jul →
mirage	13–3	0.07	19%	18 Jul →
ancient	13–0	-0.01	0%	18 Jul →
cache	14–16	-0.01	22%	18 Jul →
ancient	13–9	-0.00	17%	15 Jul →
anubis	13–9	0.07	14%	13 Jul →
ancient	13–6	-0.02	21%	13 Jul →
inferno	6–13	-0.06	13%	13 Jul →
ancient	9–13	-0.05	10%	12 Jul →
cache	13–6	0.07	13%	11 Jul →
mirage	13–5	0.01	12%	11 Jul →
anubis	13–5	0.02	34%	11 Jul →
mirage	4–13	0.06	32%	11 Jul →
dust2	13–6	0.07	25%	11 Jul →
mirage	13–11	0.05	5%	10 Jul →
dust2	13–1	0.13	17%	10 Jul →
anubis	8–13	-0.05	13%	5 Jul →
inferno	13–1	0.07	35%	5 Jul →
cache	12–12	0.00	34%	5 Jul →
mirage	13–5	0.08	13%	3 Jul →
cache	13–10	0.07	17%	3 Jul →
anubis	8–2	0.07	25%	3 Jul →
inferno	8–13	0.07	20%	3 Jul →
dust2	13–3	0.01	17%	3 Jul →
cache	13–9	0.02	19%	1 Jul →
nuke	13–8	-0.03	18%	1 Jul →
train	13–0	-0.02	29%	1 Jul →