SonnyC — CS2 Stats

CA76561199049619860[U:1:1089354132]Steam profile ↗✓ No bans

1,567Tracked matches48%Win rate2021Tracked since

CSDB Rating4.0 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim53

Positioning33

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY42–43–15Last 10042%Win rateLWWLWLWLWT

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

Player DNA

Aim5.3

Aggression2.2

Utility3.5

Positioning3.3

Opening Duels0.0

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 72% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Reaction time. 655ms 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

Aim5.3

Positioning3.3

Utility3.5

Mechanics5.5

Opening Duels0.0

Win Impact4.4

Composite 4.0/10 (Developing), 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 rating-0.04+0.01

first ⅓ avg -0.05 → last ⅓ avg -0.04

Reaction time632ms−91ms

first ⅓ avg 723ms → last ⅓ avg 632ms

Headshot accuracy12.9%+0.5%

first ⅓ avg 12.4% → last ⅓ avg 12.9%

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

0.06Best rating — cache 13–5

13–2Biggest win — nuke

4Longest win streak

3–14In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 67% over 6dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	28	13–15	46%	-0.04
nuke	B	17	8–9	47%	-0.04
train	D	11	3–8	27%	-0.04
anubis	C	10	4–6	40%	-0.06
ancient	C	9	4–5	44%	-0.03
inferno	C	8	3–5	38%	-0.05
vertigo	S	6	4–2	67%	-0.04
dust2	D	5	1–4	20%	-0.05
overpass	—	3	2–1	67%	-0.01
mirage	—	2	0–2	0%	-0.05
office	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

99Matches

42%Win rate

0.73Avg K/D

—ADR

30%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	0.50	9.0
Vertigo	2	50%	0.70	9.0
Anubis	1	100%	0.68	13.0
Ancient	1	100%	0.74	14.0

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.

13.7%Headshot accuracy

35.0%Accuracy (enemy spotted)

37.1%Spray accuracy

74.9%Counter-strafing

10.2°Preaim

655msReaction time

21.2%T opening success

21.8%CT opening success

0.55Enemies flashed / flash

5.2%Flash assists

6.03HE damage / grenade

1.69Flashes / 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.

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 13.7083% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.6875 — below the 4 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 21.2442% — below the 40% mark we flag

Spend your practice time on Dust 2

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	-0.07	17%	2 Aug →
nuke	13–8	-0.03	15%	31 Jul →
cache	13–10	-0.06	18%	29 Jul →
vertigo	4–13	-0.08	14%	29 Jul →
anubis	13–11	-0.11	6%	29 Jul →
inferno	7–13	-0.04	13%	29 Jul →
anubis	13–8	-0.04	4%	29 Jul →
nuke	8–13	-0.03	13%	29 Jul →
cache	7–0	0.02	11%	29 Jul →
mirage	12–12	-0.05	9%	29 Jul →
dust2	0–13	-0.04	11%	29 Jul →
inferno	13–9	-0.03	7%	29 Jul →
overpass	12–12	-0.05	21%	25 Jul →
ancient	13–3	-0.00	10%	25 Jul →
nuke	11–13	-0.03	23%	25 Jul →
anubis	11–13	-0.06	12%	25 Jul →
cache	13–3	0.04	7%	25 Jul →
inferno	11–13	-0.03	9%	25 Jul →
anubis	3–13	-0.13	5%	24 Jul →
train	12–12	-0.01	17%	24 Jul →
dust2	8–13	-0.03	23%	24 Jul →
nuke	13–2	0.03	15%	24 Jul →
mirage	7–13	-0.06	17%	24 Jul →
cache	13–11	0.01	14%	14 Jul →
ancient	11–13	-0.02	11%	6 Jul →
nuke	13–7	-0.03	9%	5 Jul →
cache	11–13	0.00	15%	5 Jul →
cache	13–10	-0.07	11%	4 Jul →
vertigo	13–6	0.01	23%	4 Jul →
inferno	1–13	-0.12	29%	4 Jul →
anubis	5–13	-0.06	5%	4 Jul →
train	1–1	-0.07	0%	4 Jul →
cache	12–12	-0.03	11%	4 Jul →
nuke	13–7	-0.03	9%	4 Jul →
train	13–7	-0.01	14%	3 Jul →
cache	12–12	-0.04	10%	3 Jul →
anubis	12–12	-0.05	14%	3 Jul →
inferno	13–8	-0.01	15%	3 Jul →
cache	13–5	0.06	22%	3 Jul →
ancient	13–5	0.02	7%	3 Jul →
anubis	13–9	-0.03	18%	3 Jul →
nuke	8–13	-0.04	15%	3 Jul →
office	5–13	-0.07	10%	2 Jul →
overpass	13–2	-0.00	10%	2 Jul →
nuke	13–10	0.05	22%	2 Jul →
cache	13–9	-0.02	13%	2 Jul →
dust2	12–12	-0.06	8%	1 Jul →
vertigo	13–9	-0.06	18%	1 Jul →
cache	13–8	-0.09	10%	1 Jul →
anubis	9–13	-0.04	13%	1 Jul →
cache	11–13	-0.05	17%	1 Jul →
ancient	11–13	-0.07	18%	28 Jun →
train	6–13	-0.08	12%	28 Jun →
dust2	12–12	-0.05	14%	28 Jun →
cache	7–2	-0.08	13%	28 Jun →
cache	9–13	-0.05	10%	25 Jun →
train	13–2	-0.06	2%	25 Jun →
dust2	13–8	-0.04	9%	25 Jun →
ancient	13–9	-0.06	7%	25 Jun →
inferno	11–13	-0.07	13%	22 Jun →
nuke	13–4	-0.03	4%	22 Jun →
cache	7–13	-0.08	6%	22 Jun →
cache	11–13	0.01	15%	21 Jun →
nuke	13–4	-0.04	14%	21 Jun →
nuke	1–1	-0.09	0%	21 Jun →
train	7–13	-0.07	9%	21 Jun →
ancient	13–10	0.01	17%	20 Jun →
vertigo	13–8	-0.03	23%	20 Jun →
vertigo	5–13	-0.03	12%	20 Jun →
cache	13–6	0.05	13%	20 Jun →
ancient	12–12	-0.06	18%	18 Jun →
anubis	13–9	-0.05	21%	18 Jun →
cache	9–13	-0.04	16%	18 Jun →
train	11–13	-0.08	7%	18 Jun →
train	12–12	0.03	20%	16 Jun →
cache	10–13	-0.05	18%	15 Jun →
cache	7–13	-0.04	24%	15 Jun →
cache	9–13	-0.06	0%	14 Jun →
anubis	11–13	-0.06	9%	14 Jun →
train	13–7	-0.03	9%	14 Jun →
nuke	4–13	-0.08	6%	13 Jun →
cache	13–8	-0.04	15%	13 Jun →
vertigo	13–3	-0.03	8%	13 Jun →
cache	13–4	-0.03	21%	13 Jun →
cache	12–12	0.00	10%	13 Jun →
cache	12–12	-0.09	11%	9 Jun →
nuke	5–13	0.00	6%	9 Jun →
ancient	6–13	-0.05	16%	7 Jun →
train	12–12	-0.00	14%	7 Jun →
cache	11–13	-0.06	24%	7 Jun →
train	2–13	-0.06	13%	7 Jun →
overpass	13–2	0.01	12%	7 Jun →
cache	7–13	-0.07	10%	6 Jun →
nuke	3–13	-0.07	7%	6 Jun →
cache	13–11	-0.14	8%	5 Jun →
inferno	13–7	-0.02	15%	5 Jun →
nuke	5–2	-0.09	0%	5 Jun →
nuke	9–13	-0.11	13%	5 Jun →
inferno	12–12	-0.08	2%	5 Jun →
ancient	12–12	-0.06	9%	5 Jun →