Tjixy — CS2 Stats

SE76561197987992529[U:1:27726801]Steam profile ↗

2,117Tracked matches57%Win rate2020Tracked since

CSDB Rating4.6 DevelopingPassive Rifler

Premier CS Rating6,752Light Blue band · top ~70.4% of ranked players (population est.)

CSDB Leaderboard#9466 of 12600 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67

Positioning42

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateWWLLWWLLWL

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

Player DNA

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

Aim6.7

Aggression3.1

Utility5.1

Positioning4.2

Opening Duels0.0

Clutch2.6

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 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Reaction time. 553ms 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

Aim6.7

Positioning4.2

Utility5.1

Mechanics5.2

Opening Duels0.2

Win Impact7.2

Composite 4.6/10 (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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time553ms−102ms

first ⅓ avg 655ms → last ⅓ avg 553ms

Headshot accuracy10.0%−0.4%

first ⅓ avg 10.4% → last ⅓ avg 10.0%

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

0.15Best rating — anubis 13–4

13–3Biggest win — dust2

5Longest win streak

W2Current streak

8–10In matches decided by ≤2 rounds

20Overtime games

Map breakdown

mirageBest map · 56% over 16anubisWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	22	7–15	32%	-0.01
mirage	A	16	9–7	56%	0.01
cache	B	13	7–6	54%	-0.01
anubis	D	13	4–9	31%	-0.00
dust2	B	13	7–6	54%	-0.01
ancient	B	13	6–7	46%	-0.01
vertigo	C	7	3–4	43%	-0.01
nuke	—	3	0–3	0%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

85Matches

36%Win rate

0.61Avg K/D

70.4ADR

30%Headshot %

Clutches & streaks

33%1v1 clutch win

50%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	60%	1.64	15.6
Vertigo	3	33%	1.17	18.7
Anubis	3	100%	0.90	12.7
Nuke	1	0%	0.55	11.0
Ancient	1	0%	0.40	6.0
Cache	1	0%	0.33	6.0
Dust2	1	0%	1.31	21.0

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.

10.0%Headshot accuracy

42.2%Accuracy (enemy spotted)

45.4%Spray accuracy

73.5%Counter-strafing

12.5°Preaim

553msReaction time

26.3%T opening success

31.5%CT opening success

0.53Enemies flashed / flash

4.1%Flash assists

10.04HE damage / grenade

9.93Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5069° — above the 12° mark we flag
Aim Training →
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 10.0151% — below the 15% mark we flag
Aim Training →

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.

31% win rate across 13 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	13–8	0.07	13%	27 Aug →
mirage	16–12	0.02	15%	26 Aug →
inferno	1–13	-0.04	9%	25 Aug →
vertigo	7–13	-0.10	3%	23 Aug →
cache	13–8	-0.03	9%	23 Aug →
cache	13–6	-0.01	15%	23 Aug →
anubis	17–19	0.01	6%	22 Aug →
inferno	11–13	-0.05	1%	22 Aug →
cache	16–12	0.04	5%	22 Aug →
vertigo	9–13	-0.06	5%	22 Aug →
dust2	10–13	-0.03	18%	22 Aug →
mirage	13–11	-0.02	7%	22 Aug →
ancient	17–19	-0.02	9%	22 Aug →
dust2	13–3	-0.05	18%	22 Aug →
vertigo	13–10	0.07	10%	21 Aug →
inferno	13–8	0.03	9%	20 Aug →
ancient	13–5	-0.09	5%	20 Aug →
mirage	16–13	-0.00	9%	20 Aug →
dust2	9–13	0.01	19%	20 Aug →
inferno	13–8	0.07	4%	20 Aug →
anubis	13–6	0.03	8%	20 Aug →
inferno	13–7	0.02	11%	19 Aug →
dust2	16–13	-0.01	14%	19 Aug →
cache	7–13	-0.00	22%	19 Aug →
dust2	20–22	-0.03	13%	18 Aug →
ancient	8–13	-0.05	9%	18 Aug →
mirage	19–17	-0.03	16%	18 Aug →
cache	13–10	-0.03	13%	18 Aug →
inferno	9–13	0.04	5%	18 Aug →
ancient	9–13	-0.09	2%	17 Aug →
vertigo	20–22	-0.05	10%	17 Aug →
inferno	8–13	-0.04	12%	17 Aug →
cache	13–8	-0.00	8%	17 Aug →
mirage	7–13	-0.06	10%	17 Aug →
dust2	13–6	0.04	11%	17 Aug →
mirage	11–13	-0.00	11%	16 Aug →
inferno	8–13	-0.01	12%	16 Aug →
anubis	9–13	-0.04	25%	16 Aug →
inferno	3–13	-0.09	4%	16 Aug →
vertigo	16–13	0.07	5%	16 Aug →
cache	13–11	-0.05	14%	16 Aug →
ancient	10–13	-0.04	7%	15 Aug →
anubis	5–13	-0.05	18%	15 Aug →
cache	7–13	-0.08	19%	15 Aug →
dust2	13–11	-0.04	17%	15 Aug →
vertigo	14–16	-0.03	16%	15 Aug →
inferno	9–13	-0.03	4%	15 Aug →
cache	2–13	-0.06	12%	15 Aug →
dust2	13–9	-0.01	11%	14 Aug →
inferno	9–13	-0.01	13%	14 Aug →
ancient	9–13	0.00	14%	14 Aug →
vertigo	13–4	0.03	10%	14 Aug →
anubis	13–10	-0.03	12%	14 Aug →
cache	2–13	0.00	8%	14 Aug →
mirage	5–1	0.14	4%	14 Aug →
dust2	12–12	0.01	18%	14 Aug →
mirage	12–12	-0.06	17%	13 Aug →
mirage	4–13	0.04	13%	13 Aug →
ancient	13–10	0.02	10%	12 Aug →
dust2	13–10	0.00	10%	12 Aug →
inferno	19–22	-0.05	15%	12 Aug →
nuke	13–16	-0.05	13%	12 Aug →
ancient	13–11	0.09	7%	11 Aug →
mirage	13–6	-0.03	13%	11 Aug →
inferno	8–13	0.01	12%	10 Aug →
cache	5–13	0.04	11%	10 Aug →
anubis	10–13	-0.01	11%	7 Aug →
inferno	16–14	0.07	11%	7 Aug →
inferno	4–9	-0.12	4%	7 Aug →
inferno	8–13	-0.05	9%	31 Jul →
anubis	10–13	0.04	11%	31 Jul →
mirage	13–9	-0.00	24%	31 Jul →
inferno	4–13	-0.01	22%	31 Jul →
inferno	10–13	0.01	17%	30 Jul →
anubis	13–11	0.07	12%	30 Jul →
mirage	15–15	0.10	12%	30 Jul →
ancient	3–13	-0.02	0%	30 Jul →
mirage	4–13	-0.02	12%	29 Jul →
dust2	12–16	0.03	8%	29 Jul →
anubis	6–13	-0.07	11%	29 Jul →
ancient	13–11	-0.05	7%	29 Jul →
anubis	6–13	-0.07	8%	29 Jul →
mirage	13–7	0.04	13%	29 Jul →
ancient	15–15	0.04	9%	28 Jul →
anubis	13–4	0.15	9%	28 Jul →
mirage	13–8	0.02	9%	28 Jul →
cache	13–3	-0.02	9%	28 Jul →
anubis	6–13	0.02	8%	28 Jul →
ancient	16–13	-0.03	11%	28 Jul →
cache	9–13	0.05	13%	28 Jul →
dust2	13–8	-0.01	10%	28 Jul →
ancient	13–6	0.11	8%	27 Jul →
nuke	14–16	0.03	14%	27 Jul →
nuke	14–16	0.04	4%	27 Jul →
anubis	3–13	-0.05	14%	27 Jul →
inferno	13–9	0.00	11%	27 Jul →
inferno	13–6	0.00	10%	26 Jul →
mirage	11–13	-0.01	1%	26 Jul →
dust2	6–13	-0.04	17%	24 Jul →
inferno	5–12	0.01	7%	23 Jul →