tia777 — CS2 Stats

76561198953996896[U:1:993731168]

1,037Tracked matches67%Win rate2020Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating24,999Top 50% of 819 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#2616 of 16332 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning44

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLWLWWWLLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim7.1

Aggression5.2

Utility6.1

Positioning4.4

Opening Duels1.3

Clutch3.4

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 NiKo 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 43% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim7.1

Positioning4.4

Utility6.1

Mechanics6.2

Opening Duels1.6

Win Impact10.0

Composite 6.1/10 (Solid), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time606ms+19ms

first ⅓ avg 588ms → last ⅓ avg 606ms

Headshot accuracy21.6%+0.1%

first ⅓ avg 21.5% → last ⅓ avg 21.6%

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 — inferno 9–13

13–1Biggest win — inferno

6Longest win streak

7–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 100% over 7ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	34	18–16	53%	0.01
mirage	B	28	15–13	54%	0.02
inferno	B	12	6–6	50%	0.01
cache	S	7	7–0	100%	0.02
ancient	D	6	1–5	17%	0.03
anubis	C	5	2–3	40%	0.04
nuke	—	2	0–2	0%	-0.07
overpass	—	2	0–2	0%	-0.04
train	—	2	0–2	0%	-0.01
italy	—	1	0–1	0%	0.03
alpine	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

810Matches

55%Win rate

1.19Avg K/D

80.5ADR

52%Headshot %

Clutches & streaks

37%1v1 clutch win

27%1v2 clutch win

18Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	83	52%	1.26	16.1
Dust2	60	57%	1.24	18.2
Anubis	47	49%	1.04	15.0
Inferno	24	54%	0.98	14.1
Ancient	21	33%	0.89	13.9
Vertigo	7	57%	1.43	16.3
Nuke	4	50%	1.21	19.8
Train	2	100%	1.66	13.5

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.

20.9%Headshot accuracy

33.1%Accuracy (enemy spotted)

35.7%Spray accuracy

77.8%Counter-strafing

8.8°Preaim

600msReaction time

27.7%T opening success

43.0%CT opening success

0.85Enemies flashed / flash

5.9%Flash assists

6.71HE damage / grenade

8.00Flashes / 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.

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 27.7124% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.04	24%	13 Aug →
dust2	0–13	-0.08	21%	5 Aug →
cache	13–9	-0.01	27%	5 Aug →
mirage	5–13	-0.03	14%	4 Aug →
cache	13–7	0.02	25%	4 Aug →
mirage	13–11	-0.00	14%	1 Aug →
dust2	13–3	-0.00	14%	31 Jul →
inferno	2–13	-0.06	15%	31 Jul →
mirage	11–13	0.00	25%	31 Jul →
dust2	10–13	0.02	23%	31 Jul →
mirage	13–2	0.09	31%	31 Jul →
mirage	3–13	-0.01	10%	31 Jul →
inferno	13–11	-0.02	29%	30 Jul →
mirage	13–8	0.03	18%	30 Jul →
nuke	4–13	-0.08	6%	30 Jul →
dust2	7–13	-0.07	22%	30 Jul →
cache	13–5	0.02	15%	28 Jul →
mirage	10–13	-0.03	20%	28 Jul →
dust2	16–14	0.04	15%	28 Jul →
dust2	13–11	-0.06	21%	28 Jul →
dust2	13–8	-0.06	16%	28 Jul →
mirage	13–2	0.03	21%	28 Jul →
mirage	16–13	0.01	25%	28 Jul →
mirage	13–10	0.05	25%	28 Jul →
dust2	8–13	0.08	24%	28 Jul →
cache	13–7	0.02	25%	28 Jul →
mirage	13–10	0.05	26%	28 Jul →
inferno	13–10	0.02	16%	27 Jul →
dust2	16–13	0.00	28%	27 Jul →
dust2	13–5	-0.01	27%	27 Jul →
mirage	13–2	0.10	32%	27 Jul →
dust2	4–13	-0.05	21%	27 Jul →
dust2	7–0	0.02	43%	26 Jul →
cache	13–8	0.01	21%	26 Jul →
inferno	10–13	-0.05	19%	25 Jul →
dust2	8–13	0.00	24%	25 Jul →
mirage	13–10	-0.00	19%	25 Jul →
dust2	13–3	0.01	29%	25 Jul →
inferno	13–1	0.09	40%	25 Jul →
ancient	11–13	0.07	35%	25 Jul →
dust2	13–5	0.15	35%	22 Jul →
dust2	6–13	0.04	23%	22 Jul →
dust2	6–13	-0.08	26%	22 Jul →
ancient	4–13	0.02	13%	22 Jul →
dust2	13–11	0.01	25%	22 Jul →
cache	13–4	0.02	22%	21 Jul →
mirage	13–8	0.13	18%	21 Jul →
dust2	11–13	-0.01	34%	20 Jul →
mirage	13–4	0.03	32%	20 Jul →
mirage	5–13	-0.05	21%	20 Jul →
inferno	9–13	0.16	23%	19 Jul →
dust2	13–6	0.12	28%	19 Jul →
ancient	13–3	0.09	16%	18 Jul →
inferno	7–13	-0.03	15%	18 Jul →
overpass	12–12	-0.02	28%	18 Jul →
dust2	13–7	-0.02	31%	6 Jul →
anubis	8–13	-0.01	36%	6 Jul →
mirage	2–13	-0.08	17%	5 Jul →
dust2	11–13	0.04	19%	5 Jul →
dust2	14–16	0.00	23%	5 Jul →
mirage	3–13	-0.04	15%	5 Jul →
dust2	7–13	-0.04	36%	4 Jul →
anubis	13–9	0.00	17%	20 Jun →
dust2	13–10	0.03	26%	20 Jun →
mirage	13–3	0.02	23%	15 Jun →
mirage	10–13	0.04	21%	15 Jun →
ancient	4–13	-0.02	12%	9 Jun →
dust2	13–16	0.07	21%	9 Jun →
dust2	12–16	0.04	28%	7 Jun →
inferno	9–13	0.13	32%	7 Jun →
ancient	3–13	0.02	22%	7 Jun →
mirage	8–13	0.04	21%	7 Jun →
dust2	13–9	0.01	17%	6 Jun →
train	11–13	-0.01	22%	6 Jun →
train	8–13	-0.02	19%	5 Jun →
inferno	16–13	0.01	23%	4 Jun →
mirage	13–10	-0.01	27%	3 Jun →
mirage	10–13	0.02	12%	3 Jun →
overpass	0–13	-0.07	33%	3 Jun →
anubis	13–10	0.04	23%	3 Jun →
dust2	8–13	-0.07	13%	2 Jun →
inferno	11–13	-0.03	21%	2 Jun →
dust2	13–9	0.00	16%	1 Jun →
nuke	9–13	-0.06	22%	1 Jun →
mirage	7–13	0.01	16%	1 Jun →
mirage	10–13	0.02	15%	1 Jun →
mirage	13–8	0.01	17%	31 May →
inferno	13–7	-0.05	29%	31 May →
italy	6–13	0.03	17%	31 May →
anubis	10–13	0.05	23%	30 May →
alpine	12–12	0.03	13%	29 May →
ancient	4–13	-0.01	18%	28 May →
inferno	13–7	0.02	27%	28 May →
mirage	13–1	0.08	24%	28 May →
anubis	8–13	0.11	22%	28 May →
dust2	13–11	0.07	27%	28 May →
cache	13–5	0.01	35%	27 May →
dust2	11–13	-0.02	19%	23 May →
dust2	13–11	-0.02	14%	22 May →
mirage	11–13	0.01	19%	22 May →