Syntexus — CS2 Stats

DE76561198215291964[U:1:255026236]Steam profile ↗✓ No bans

762Tracked matches52%Win rate2020Tracked since

CSDB Rating5.5 SolidClutch Specialist

Premier CS Rating11,624Blue band · top ~46.3% of ranked players (population est.)

CSDB Leaderboard#39017 of 56572 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning49

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateWLLLLWLWWW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim7.5

Aggression6.1

Utility4.7

Positioning4.9

Opening Duels1.7

Clutch7.8

Reliable in 1v1s

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 b1t 89% playstyle similarity

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

Where you differ: lower utility contribution; 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. 611ms 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

Aim7.5

Positioning4.9

Utility4.7

Mechanics7.4

Opening Duels1.7

Win Impact5.6

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time615ms+1ms

first ⅓ avg 614ms → last ⅓ avg 615ms

Headshot accuracy24.4%+4.6%

first ⅓ avg 19.9% → last ⅓ avg 24.4%

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

0.18Best rating — overpass 12–12

13–2Biggest win — ancient

4Longest win streak

7–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 67% over 18mirageWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	18	10–8	56%	0.01
inferno	S	18	12–6	67%	0.04
cache	D	16	5–11	31%	0.02
overpass	B	14	7–7	50%	0.03
mirage	D	13	2–11	15%	0.01
anubis	D	8	2–6	25%	-0.03
nuke	D	6	2–4	33%	-0.02
dust2	—	3	2–1	67%	0.01
vertigo	—	2	1–1	50%	-0.01
poseidon	—	1	0–1	0%	0.07
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

758Matches

50%Win rate

1.08Avg K/D

72.7ADR

46%Headshot %

Clutches & streaks

59%1v1 clutch win

28%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	19	42%	0.94	12.6
Inferno	15	60%	1.19	14.0
Overpass	14	36%	1.12	15.4
Anubis	13	54%	1.05	14.9
Ancient	11	27%	0.96	15.4
Dust2	5	60%	1.18	15.2
Nuke	4	75%	1.16	17.0
Mirage	4	25%	1.05	17.0

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.

24.6%Headshot accuracy

33.3%Accuracy (enemy spotted)

38.8%Spray accuracy

83.5%Counter-strafing

10.6°Preaim

611msReaction time

33.1%T opening success

40.2%CT opening success

0.41Enemies flashed / flash

2.3%Flash assists

9.37HE damage / grenade

6.74Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4137 — below the 0.5 mark we flag
Grenade Lineups →
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 33.1444% — 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.

15% win rate across 13 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
ancient	13–9	0.03	23%	27 Aug →
anubis	7–13	-0.10	23%	27 Aug →
overpass	2–13	0.06	28%	23 Aug →
cache	8–13	0.00	27%	20 Aug →
anubis	10–13	0.03	22%	20 Aug →
inferno	9–6	0.08	22%	20 Aug →
mirage	4–13	-0.10	20%	19 Aug →
inferno	13–11	0.09	24%	18 Aug →
cache	13–11	0.14	21%	18 Aug →
ancient	13–10	-0.05	19%	13 Aug →
nuke	13–9	0.01	20%	4 Aug →
ancient	7–13	-0.04	21%	4 Aug →
ancient	13–11	0.00	29%	4 Aug →
cache	15–15	-0.02	20%	3 Aug →
cache	13–10	-0.03	15%	1 Aug →
ancient	15–15	0.06	26%	30 Jul →
inferno	13–6	0.06	25%	26 Jul →
mirage	15–15	-0.01	37%	26 Jul →
ancient	7–13	-0.06	50%	23 Jul →
inferno	16–12	-0.03	31%	21 Jul →
cache	13–16	-0.04	24%	20 Jul →
ancient	13–2	0.03	39%	20 Jul →
mirage	5–13	-0.07	18%	18 Jul →
ancient	11–13	-0.03	13%	17 Jul →
cache	13–2	0.07	32%	17 Jul →
ancient	11–13	0.01	16%	17 Jul →
mirage	13–4	0.09	22%	13 Jul →
inferno	13–11	-0.03	31%	12 Jul →
cache	9–13	0.02	26%	12 Jul →
dust2	10–13	-0.01	19%	12 Jul →
anubis	13–3	0.01	16%	11 Jul →
mirage	10–13	0.13	20%	5 Jul →
overpass	3–13	-0.08	25%	14 Jun →
ancient	7–13	-0.03	19%	13 Jun →
mirage	8–13	-0.02	42%	13 Jun →
inferno	11–13	0.04	28%	10 Jun →
ancient	13–5	-0.01	36%	10 Jun →
nuke	5–13	-0.02	20%	9 Jun →
overpass	13–4	0.07	21%	9 Jun →
overpass	13–8	0.06	32%	8 Jun →
inferno	14–16	0.06	30%	8 Jun →
dust2	13–10	-0.04	17%	7 Jun →
anubis	13–8	0.03	28%	7 Jun →
nuke	13–10	-0.00	20%	16 May →
cache	10–13	0.02	30%	16 May →
cache	11–13	-0.00	29%	15 May →
poseidon	6–9	0.07	38%	15 May →
cache	12–12	0.04	21%	14 May →
cache	13–10	0.04	23%	14 May →
cache	10–13	-0.00	23%	14 May →
cache	11–13	0.01	27%	10 May →
cache	7–13	0.01	22%	10 May →
cache	6–0	0.11	33%	10 May →
mirage	8–13	0.07	27%	8 May →
ancient	13–11	0.02	15%	8 May →
cache	10–13	0.04	21%	29 Apr →
anubis	8–13	-0.03	9%	28 Apr →
overpass	12–12	0.18	25%	27 Apr →
anubis	4–13	-0.08	16%	27 Apr →
mirage	15–15	0.05	16%	26 Apr →
inferno	13–6	0.05	22%	18 Apr →
ancient	13–9	0.02	15%	18 Apr →
ancient	16–13	0.01	14%	18 Apr →
overpass	13–2	0.02	26%	18 Apr →
mirage	10–13	0.03	21%	16 Apr →
inferno	16–13	0.05	24%	16 Apr →
ancient	11–13	0.08	18%	16 Apr →
ancient	5–13	-0.01	18%	14 Apr →
inferno	9–13	0.07	14%	14 Apr →
overpass	16–13	0.01	23%	11 Apr →
overpass	10–13	-0.04	21%	11 Apr →
anubis	6–13	-0.06	21%	11 Apr →
overpass	13–11	0.11	20%	9 Apr →
inferno	13–10	0.02	35%	15 Mar →
ancient	13–10	0.05	26%	15 Mar →
inferno	13–8	0.00	15%	23 Feb →
anubis	7–13	-0.04	20%	22 Feb →
mirage	3–13	0.00	36%	26 Dec →
vertigo	5–13	0.02	15%	25 Dec →
overpass	13–5	0.11	21%	25 Dec →
inferno	7–13	0.02	13%	14 Dec →
mirage	10–13	-0.00	13%	14 Dec →
ancient	13–9	0.01	22%	14 Dec →
nuke	2–13	-0.01	19%	13 Dec →
inferno	11–13	0.03	27%	11 Dec →
mirage	7–13	-0.02	15%	10 Dec →
mirage	13–11	0.01	21%	9 Dec →
dust2	13–5	0.08	19%	9 Dec →
overpass	15–15	-0.02	12%	7 Dec →
overpass	10–13	-0.10	8%	18 Nov →
inferno	13–3	0.03	18%	4 Nov →
overpass	13–4	-0.00	18%	4 Nov →
vertigo	13–7	-0.04	20%	30 Oct →
train	13–6	0.06	33%	30 Oct →
inferno	10–13	0.06	18%	27 Oct →
nuke	8–13	-0.02	17%	26 Oct →
inferno	13–4	0.09	15%	26 Oct →
inferno	13–8	0.00	31%	26 Oct →
nuke	0–13	-0.09	11%	20 Oct →
overpass	11–13	-0.02	20%	19 Oct →