tatazin — CS2 Stats

PROVasco EsportsBrazilIGLSettings & gear profile →

BR76561197995102212[U:1:34836484]Steam profile ↗✓ No bans

1,194Tracked matches53%Win rate2020Tracked since

CSDB Rating8.4 StrongPositional Player

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

+29Tracked matches · now 1,194

+3.3ppWin rate · 50.0% → 53.3%

Rating over time

53Days played since 2026-07-07

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim94

Positioning82

Utility81

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWLLLLWWWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +6.4pp headshot accuracy · +46ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 28%
Avg reaction 564ms

Last 10

5–5 · 50% win rate
Avg rating 0.04
Avg headshot accuracy 29%
Avg reaction 527ms

Last 20

10–10 · 50% win rate
Avg rating 0.04
Avg headshot accuracy 26%
Avg reaction 504ms

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).

Aim9.4

Utility8.1

Positioning8.2

Opening Duels8.2

Clutch4.4

Sharp aimerEffective flashesHigh utility contributionStrong positioning

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 device 87% playstyle similarity

Most alike: aim profile, utility contribution.

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 94 — the mechanical foundation is a clear strength.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 74% T opening-duel success — entries that actually open the round.

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

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

Aim9.4

Positioning8.2

Utility8.1

Mechanics7.5

Opening Duels9.7

Win Impact6.1

Composite 8.4/10 (Strong), 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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time503ms−89ms

first ⅓ avg 592ms → last ⅓ avg 503ms

Headshot accuracy26.8%+2.7%

first ⅓ avg 24.1% → last ⅓ avg 26.8%

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.

Personal bests

0.27Best match rating · 13–6 · mirage, 31 Aug →

45%Best headshot accuracy · 13–6 · dust2, 20 Jul →

367msFastest reaction time · 13–0 · anubis, 14 Sept →

13–0Biggest win · anubis, 14 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

7–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 60% over 15anubisWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	17–16	52%	0.03
mirage	B	22	11–11	50%	0.03
ancient	B	20	10–10	50%	0.04
inferno	A	15	9–6	60%	0.04
anubis	C	5	2–3	40%	0.03
cache	—	3	3–0	100%	0.03
nuke	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,023Matches

61%Win rate

1.47Avg K/D

81.7ADR

50%Headshot %

Clutches & streaks

42%1v1 clutch win

24%1v2 clutch win

14Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	123	59%	1.31	17.3
Mirage	116	47%	1.40	15.9
Anubis	81	57%	1.33	15.7
Ancient	61	62%	1.27	14.5
Inferno	29	66%	1.28	14.7
Nuke	21	67%	1.24	17.3
Overpass	10	60%	1.04	16.0
Train	2	100%	1.30	18.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$353Inventory value16ItemsFull inventory breakdown →

$278

$51

$10

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.4%Headshot accuracy

40.4%Accuracy (enemy spotted)

41.9%Spray accuracy

83.9%Counter-strafing

8.6°Preaim

501msReaction time

73.7%T opening success

67.4%CT opening success

0.77Enemies flashed / flash

15.3%Flash assists

11.00HE damage / grenade

14.94Flashes / match

Recommended for you

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.

40% win rate across 5 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
inferno	19–15	-0.01	28%	29 Oct →
ancient	10–13	0.06	28%	29 Oct →
ancient	9–13	0.03	23%	27 Oct →
mirage	16–19	-0.01	27%	22 Oct →
dust2	10–13	-0.01	33%	22 Oct →
dust2	13–9	0.02	24%	21 Oct →
ancient	13–1	0.16	33%	21 Oct →
dust2	16–13	0.05	33%	21 Oct →
inferno	13–1	0.12	43%	21 Oct →
anubis	8–13	-0.01	20%	19 Oct →
mirage	10–13	0.03	23%	17 Oct →
mirage	13–11	0.07	13%	16 Oct →
ancient	10–13	0.06	20%	16 Oct →
nuke	10–13	-0.02	14%	15 Oct →
mirage	8–13	0.03	35%	13 Oct →
dust2	13–7	-0.03	24%	13 Oct →
ancient	7–13	0.03	16%	13 Oct →
anubis	13–4	0.06	29%	9 Oct →
dust2	13–5	0.07	31%	9 Oct →
ancient	13–11	0.04	25%	8 Oct →
dust2	10–13	0.01	36%	6 Oct →
dust2	13–6	0.08	29%	2 Oct →
dust2	13–10	0.05	22%	2 Oct →
mirage	13–11	0.06	24%	30 Sept →
inferno	13–7	0.09	23%	30 Sept →
ancient	13–6	0.04	36%	30 Sept →
anubis	3–13	-0.08	26%	29 Sept →
ancient	13–10	0.02	41%	29 Sept →
ancient	17–19	-0.02	18%	28 Sept →
dust2	13–16	0.03	29%	21 Sept →
inferno	13–9	0.02	23%	16 Sept →
dust2	13–7	0.03	24%	15 Sept →
mirage	3–13	-0.08	31%	14 Sept →
inferno	6–13	0.02	14%	14 Sept →
anubis	13–0	0.17	25%	14 Sept →
mirage	2–13	-0.01	6%	11 Sept →
nuke	8–1	0.02	35%	10 Sept →
dust2	13–3	-0.01	22%	10 Sept →
cache	13–1	0.03	18%	10 Sept →
dust2	8–13	0.04	27%	9 Sept →
anubis	8–13	0.01	11%	5 Sept →
inferno	13–7	0.13	25%	5 Sept →
dust2	13–8	0.05	33%	5 Sept →
mirage	13–11	-0.02	18%	4 Sept →
ancient	8–13	0.04	25%	4 Sept →
dust2	13–5	0.04	21%	2 Sept →
ancient	11–13	0.11	29%	2 Sept →
mirage	13–6	0.27	44%	31 Aug →
dust2	11–13	0.09	18%	29 Aug →
mirage	7–13	0.02	26%	29 Aug →
inferno	13–9	0.06	14%	29 Aug →
dust2	6–13	0.04	17%	27 Aug →
dust2	13–5	0.04	27%	27 Aug →
dust2	10–13	0.01	21%	26 Aug →
ancient	13–5	0.04	33%	24 Aug →
mirage	11–13	0.07	20%	19 Aug →
ancient	8–13	0.05	16%	19 Aug →
inferno	11–13	0.02	28%	18 Aug →
mirage	13–10	0.06	33%	18 Aug →
ancient	13–9	0.07	35%	17 Aug →
dust2	13–7	0.05	20%	17 Aug →
mirage	14–16	-0.00	33%	17 Aug →
ancient	13–11	0.03	34%	17 Aug →
ancient	13–6	0.03	32%	15 Aug →
mirage	13–11	0.07	26%	15 Aug →
dust2	10–13	0.04	32%	15 Aug →
inferno	13–6	0.06	27%	15 Aug →
ancient	13–10	0.01	17%	14 Aug →
mirage	13–5	0.07	34%	14 Aug →
dust2	11–13	-0.03	22%	6 Aug →
dust2	5–13	-0.00	19%	6 Aug →
inferno	13–9	0.05	21%	5 Aug →
ancient	1–2	-0.06	0%	4 Aug →
dust2	8–13	0.04	27%	4 Aug →
ancient	13–8	-0.03	24%	1 Aug →
dust2	13–10	0.11	18%	1 Aug →
mirage	11–13	0.02	26%	31 Jul →
mirage	13–5	0.02	14%	30 Jul →
dust2	9–13	0.06	25%	30 Jul →
inferno	10–13	0.02	29%	28 Jul →
cache	13–9	-0.02	22%	27 Jul →
dust2	11–13	0.08	19%	27 Jul →
cache	13–11	0.09	16%	25 Jul →
inferno	6–13	0.00	16%	25 Jul →
mirage	13–4	0.05	25%	25 Jul →
dust2	13–6	0.06	26%	24 Jul →
ancient	17–19	0.06	21%	24 Jul →
dust2	5–13	-0.02	21%	24 Jul →
dust2	13–6	0.00	45%	20 Jul →
inferno	7–13	0.03	24%	20 Jul →
inferno	13–10	-0.01	29%	18 Jul →
mirage	5–13	-0.06	22%	17 Jul →
dust2	13–2	0.10	30%	17 Jul →
mirage	13–4	-0.03	19%	15 Jul →
inferno	2–13	-0.04	28%	14 Jul →
mirage	8–13	-0.01	21%	14 Jul →
dust2	7–13	-0.05	26%	14 Jul →
dust2	16–13	0.00	40%	8 Jul →
dust2	6–13	-0.00	37%	7 Jul →
mirage	13–8	0.05	32%	7 Jul →