big tamales — CS2 Stats

76561197960527343[U:1:261615]Steam profile ↗✓ No bans

1,093Tracked matches53%Win rate2024Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

WingmanGold Nova Master

Ladder ranks via Leetify

Performance scores

Aim62

Positioning47

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateWLWLLLWLLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim6.2

Aggression6.8

Utility6.3

Positioning4.7

Opening Duels2.1

Clutch3.8

Strong CT-side openerEffective flashes

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 Twistzz 88% playstyle similarity

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

Where you differ: 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 50% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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

Aim6.2

Positioning4.7

Utility6.3

Mechanics6.6

Opening Duels2.6

Win Impact6.1

Composite 5.0/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time622ms−24ms

first ⅓ avg 647ms → last ⅓ avg 622ms

Headshot accuracy15.4%+2.9%

first ⅓ avg 12.5% → last ⅓ avg 15.4%

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

0.16Best rating — mirage 13–2

13–0Biggest win — dust2

8Longest win streak

12–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 80% over 5mirageWeakest map · 46% over 37

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	37	17–20	46%	-0.00
dust2	A	19	11–8	58%	0.01
nuke	A	16	9–7	56%	0.02
ancient	S	13	10–3	77%	0.03
anubis	B	6	3–3	50%	-0.01
inferno	S	5	4–1	80%	-0.02
cache	—	2	0–2	0%	-0.03
overpass	—	2	1–1	50%	-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 37). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

691Matches

48%Win rate

1.03Avg K/D

71.6ADR

38%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	217	48%	1.00	13.3
Dust2	122	53%	1.09	13.5
Ancient	113	48%	1.05	12.6
Anubis	82	43%	1.10	13.9
Inferno	61	43%	1.02	14.4
Nuke	48	50%	0.94	13.4
Train	27	56%	0.96	12.4
Vertigo	15	47%	1.11	15.7

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.

14.7%Headshot accuracy

35.0%Accuracy (enemy spotted)

38.1%Spray accuracy

79.9%Counter-strafing

10.3°Preaim

623msReaction time

26.2%T opening success

50.5%CT opening success

0.72Enemies flashed / flash

5.9%Flash assists

13.51HE damage / grenade

8.38Flashes / 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 14.6655% — 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 26.2447% — below the 40% mark we flag

Spend your practice time on Mirage

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

46% win rate across 37 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	16–13	-0.04	11%	28 Aug →
mirage	6–13	-0.08	22%	27 Aug →
dust2	13–6	0.04	14%	26 Aug →
dust2	9–13	0.03	10%	25 Aug →
cache	14–16	-0.03	11%	24 Aug →
mirage	8–13	-0.00	8%	18 Aug →
anubis	13–6	-0.02	20%	14 Aug →
mirage	8–13	-0.05	18%	14 Aug →
cache	1–7	-0.04	0%	14 Aug →
ancient	19–17	-0.03	16%	13 Aug →
mirage	13–11	0.02	15%	12 Aug →
mirage	14–16	0.03	19%	11 Aug →
dust2	13–0	0.06	35%	8 Aug →
nuke	16–14	0.10	15%	7 Aug →
mirage	11–13	-0.03	12%	7 Aug →
mirage	13–4	-0.05	25%	7 Aug →
mirage	8–13	-0.01	23%	5 Aug →
nuke	8–13	-0.03	12%	5 Aug →
mirage	5–13	-0.02	15%	5 Aug →
mirage	13–7	-0.01	7%	4 Aug →
ancient	13–10	0.12	22%	1 Aug →
nuke	13–6	0.02	6%	30 Jul →
ancient	13–5	0.12	17%	30 Jul →
mirage	9–13	-0.02	20%	29 Jul →
ancient	13–8	-0.01	12%	29 Jul →
ancient	10–13	-0.05	20%	28 Jul →
mirage	13–10	0.04	0%	27 Jul →
inferno	13–10	-0.03	12%	24 Jul →
nuke	13–11	0.04	15%	24 Jul →
nuke	7–13	-0.03	10%	24 Jul →
ancient	11–13	-0.07	6%	23 Jul →
mirage	13–6	0.07	35%	22 Jul →
mirage	13–2	0.16	26%	22 Jul →
mirage	8–13	-0.01	6%	21 Jul →
mirage	11–6	-0.01	19%	21 Jul →
anubis	5–13	-0.07	10%	21 Jul →
dust2	8–13	-0.01	5%	20 Jul →
mirage	9–13	0.03	17%	19 Jul →
mirage	3–13	-0.06	15%	18 Jul →
mirage	13–1	0.14	29%	18 Jul →
mirage	12–12	-0.02	4%	17 Jul →
mirage	13–9	0.01	11%	17 Jul →
mirage	2–7	0.04	17%	15 Jul →
mirage	13–9	-0.04	24%	15 Jul →
mirage	1–13	-0.06	12%	14 Jul →
mirage	13–9	0.05	15%	13 Jul →
mirage	12–12	0.04	7%	12 Jul →
dust2	14–16	-0.02	19%	11 Jul →
dust2	14–16	-0.01	7%	11 Jul →
nuke	13–7	-0.02	17%	7 Jul →
dust2	13–5	0.01	12%	6 Jul →
dust2	13–10	0.07	6%	4 Jul →
ancient	13–11	0.04	16%	3 Jul →
nuke	13–11	0.13	13%	3 Jul →
mirage	13–6	-0.03	17%	3 Jul →
nuke	13–8	0.11	13%	3 Jul →
dust2	16–14	0.01	20%	25 Jun →
dust2	4–13	0.03	10%	25 Jun →
mirage	13–5	-0.04	7%	24 Jun →
mirage	13–10	0.03	12%	23 Jun →
dust2	11–1	0.01	10%	23 Jun →
mirage	13–11	-0.02	20%	23 Jun →
inferno	13–11	-0.01	9%	23 Jun →
dust2	11–13	-0.03	10%	19 Jun →
inferno	9–13	-0.01	17%	19 Jun →
ancient	13–4	0.13	20%	19 Jun →
mirage	10–13	-0.04	19%	19 Jun →
anubis	11–13	0.00	11%	19 Jun →
mirage	6–13	-0.03	5%	19 Jun →
nuke	13–6	0.04	10%	18 Jun →
overpass	4–13	-0.04	6%	18 Jun →
ancient	13–7	0.10	11%	18 Jun →
dust2	11–13	-0.03	11%	18 Jun →
nuke	10–13	-0.03	18%	17 Jun →
anubis	8–13	-0.06	7%	16 Jun →
mirage	13–9	0.09	10%	16 Jun →
dust2	7–13	-0.01	12%	15 Jun →
anubis	13–5	0.10	7%	14 Jun →
mirage	16–14	-0.03	9%	13 Jun →
ancient	16–14	-0.04	18%	13 Jun →
inferno	13–10	-0.02	18%	11 Jun →
nuke	13–8	-0.00	17%	11 Jun →
dust2	13–7	0.01	16%	11 Jun →
overpass	13–8	0.03	11%	10 Jun →
dust2	13–8	-0.02	10%	10 Jun →
mirage	13–16	-0.06	8%	10 Jun →
mirage	8–13	-0.01	14%	10 Jun →
ancient	9–13	0.00	10%	10 Jun →
dust2	16–13	-0.00	12%	9 Jun →
mirage	9–13	-0.02	14%	9 Jun →
dust2	13–5	0.04	21%	9 Jun →
nuke	8–13	0.02	5%	8 Jun →
nuke	11–13	-0.01	6%	8 Jun →
ancient	13–3	0.09	20%	7 Jun →
nuke	5–13	-0.06	10%	7 Jun →
nuke	13–3	0.03	20%	6 Jun →
inferno	13–11	-0.05	18%	6 Jun →
anubis	13–10	-0.01	10%	6 Jun →
nuke	4–13	-0.02	26%	6 Jun →
ancient	13–8	0.00	12%	1 May →