syn — CS2 Stats

76561199020609197[U:1:1060343469]Steam profile ↗

3,023Tracked matches40%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating25,750Top 25% of 819 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#1987 of 17660 tracked

FaceitLevel 10 · 2,057 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning54

Utility58

0–100 skill scores via Leetify.

Recent form

COLD52–48Last 10052%Win rateLWWLLLWLLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression8.0

Utility5.8

Positioning5.4

Opening Duels4.4

Clutch3.6

Sharp aimerStrong CT-side opener

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 94% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 88 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 62% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim8.8

Positioning5.4

Utility5.8

Mechanics7.6

Opening Duels4.4

Win Impact1.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.04

first ⅓ avg 0.03 → last ⅓ avg -0.00

Reaction time565ms−21ms

first ⅓ avg 587ms → last ⅓ avg 565ms

Headshot accuracy26.6%+5.5%

first ⅓ avg 21.1% → last ⅓ avg 26.6%

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 — overpass 13–7

13–0Biggest win — inferno

7Longest win streak

9–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 69% over 13nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	15–11	58%	0.02
mirage	A	20	11–9	55%	0.01
anubis	B	15	7–8	47%	0.02
inferno	B	14	7–7	50%	0.01
cache	S	13	9–4	69%	0.03
nuke	D	6	1–5	17%	-0.01
overpass	—	2	1–1	50%	0.13
vertigo	—	1	0–1	0%	-0.06
office	—	1	0–1	0%	0.05
italy	—	1	1–0	100%	-0.07
ancient	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

3,388Matches

51%Win rate

1.04Avg K/D

80.0ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

16Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	181	54%	1.16	15.9
Dust2	115	57%	1.29	17.0
Anubis	72	67%	1.21	15.3
Ancient	68	47%	1.03	15.6
Inferno	65	42%	1.08	15.3
Nuke	34	44%	1.21	18.1
Overpass	16	44%	1.02	14.6
Train	14	14%	0.91	13.8

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.

26.8%Headshot accuracy

35.3%Accuracy (enemy spotted)

38.7%Spray accuracy

84.3%Counter-strafing

7.8°Preaim

567msReaction time

33.4%T opening success

61.6%CT opening success

0.59Enemies flashed / flash

8.4%Flash assists

8.56HE damage / grenade

8.87Flashes / 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 33.3572% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	5–13	0.05	36%	24 Aug →
dust2	13–1	0.04	14%	23 Aug →
cache	13–10	0.05	23%	23 Aug →
vertigo	4–13	-0.06	71%	21 Aug →
anubis	8–13	0.02	25%	21 Aug →
nuke	9–13	-0.05	27%	15 Aug →
dust2	13–10	0.02	47%	13 Aug →
anubis	7–13	0.04	26%	12 Aug →
mirage	1–13	-0.09	7%	11 Aug →
inferno	8–13	-0.07	28%	10 Aug →
dust2	4–13	-0.04	25%	9 Aug →
anubis	5–13	-0.04	9%	31 Jul →
dust2	13–11	0.03	26%	28 Jul →
anubis	13–8	-0.02	15%	27 Jul →
mirage	2–13	-0.07	17%	24 Jul →
inferno	13–5	0.04	30%	24 Jul →
dust2	0–8	-0.03	20%	24 Jul →
dust2	3–13	-0.02	25%	23 Jul →
dust2	13–3	0.11	28%	23 Jul →
dust2	6–13	-0.04	26%	22 Jul →
inferno	13–0	0.00	44%	22 Jul →
nuke	3–13	0.03	42%	22 Jul →
anubis	13–5	0.03	10%	22 Jul →
anubis	13–8	0.00	27%	22 Jul →
inferno	9–13	0.01	43%	22 Jul →
nuke	4–13	-0.04	15%	21 Jul →
dust2	13–10	0.06	23%	21 Jul →
inferno	13–9	-0.05	19%	21 Jul →
mirage	1–13	-0.06	38%	21 Jul →
inferno	8–13	-0.02	18%	21 Jul →
cache	13–8	-0.03	34%	20 Jul →
anubis	13–4	0.11	15%	20 Jul →
dust2	11–13	0.04	24%	20 Jul →
mirage	13–4	0.12	18%	20 Jul →
mirage	5–13	0.03	17%	20 Jul →
cache	10–13	-0.01	25%	20 Jul →
cache	9–13	-0.00	20%	20 Jul →
dust2	13–8	-0.02	23%	18 Jul →
dust2	11–13	0.01	38%	18 Jul →
mirage	0–13	-0.04	38%	18 Jul →
mirage	8–0	0.08	15%	18 Jul →
anubis	1–13	-0.04	20%	17 Jul →
cache	13–5	0.04	20%	17 Jul →
dust2	13–10	0.01	19%	17 Jul →
anubis	1–13	-0.05	25%	17 Jul →
dust2	13–4	-0.03	11%	17 Jul →
dust2	13–3	0.03	18%	17 Jul →
cache	13–4	0.02	13%	17 Jul →
inferno	5–13	0.01	31%	17 Jul →
mirage	13–7	-0.06	26%	17 Jul →
inferno	7–13	0.00	20%	16 Jul →
dust2	13–4	0.08	20%	16 Jul →
mirage	6–13	-0.04	24%	16 Jul →
cache	11–13	0.02	32%	15 Jul →
mirage	13–9	-0.01	22%	15 Jul →
cache	13–11	0.06	15%	15 Jul →
dust2	13–8	0.00	20%	15 Jul →
anubis	13–11	0.01	13%	15 Jul →
inferno	13–11	0.02	16%	15 Jul →
nuke	6–13	-0.01	17%	14 Jul →
anubis	16–12	0.02	14%	14 Jul →
cache	13–8	0.03	17%	14 Jul →
dust2	13–5	-0.02	16%	14 Jul →
inferno	9–13	0.01	13%	13 Jul →
dust2	16–13	0.02	22%	13 Jul →
mirage	13–8	0.05	9%	13 Jul →
mirage	3–11	-0.03	30%	13 Jul →
cache	16–14	0.02	24%	12 Jul →
inferno	13–5	0.01	16%	11 Jul →
anubis	4–0	0.03	9%	11 Jul →
cache	13–4	0.06	23%	11 Jul →
mirage	13–9	0.03	20%	11 Jul →
dust2	13–2	0.01	13%	11 Jul →
mirage	13–5	0.02	10%	11 Jul →
mirage	11–13	0.06	23%	10 Jul →
cache	13–4	0.07	23%	10 Jul →
mirage	13–5	-0.02	15%	10 Jul →
dust2	10–13	0.07	20%	10 Jul →
inferno	3–13	-0.04	14%	9 Jul →
dust2	13–7	0.03	14%	6 Jul →
anubis	8–13	0.05	36%	6 Jul →
dust2	7–13	0.06	26%	4 Jul →
inferno	9–7	0.09	24%	4 Jul →
overpass	11–13	0.09	14%	3 Jul →
mirage	13–8	-0.01	22%	2 Jul →
nuke	7–9	-0.00	12%	2 Jul →
cache	7–13	0.01	17%	1 Jul →
inferno	9–7	0.14	20%	1 Jul →
office	9–13	0.05	28%	1 Jul →
italy	13–11	-0.07	23%	30 Jun →
dust2	5–13	-0.04	30%	29 Jun →
mirage	13–2	0.13	17%	28 Jun →
mirage	0–13	-0.06	50%	28 Jun →
ancient	10–13	-0.02	17%	26 Jun →
dust2	11–13	0.04	27%	26 Jun →
anubis	11–13	0.03	28%	26 Jun →
nuke	13–7	0.03	18%	24 Jun →
overpass	13–7	0.16	25%	24 Jun →
mirage	13–11	0.10	16%	24 Jun →
dust2	11–13	0.01	23%	23 Jun →