SyNoPTiCaL — CS2 Stats

76561197972541089[U:1:12275361]

1,394Tracked matches69%Win rate2025Tracked since

4,520Hours in CS2Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating25,658Top 25% of 819 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning60

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY59–34–7Last 10059%Win rateWLWWLWWTWL

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating

Player DNA

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

Aim7.4

Aggression8.2

Utility6.0

Positioning6.0

Opening Duels3.5

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 93% playstyle similarity

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

Where you differ: 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. 582ms 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

Aim7.4

Positioning6.0

Utility6.0

Mechanics6.2

Opening Duels3.5

Win Impact10.0

Composite 6.9/10 (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 rating0.04−0.01

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time584ms+4ms

first ⅓ avg 580ms → last ⅓ avg 584ms

Headshot accuracy23.7%−1.3%

first ⅓ avg 24.9% → last ⅓ avg 23.7%

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

0.23Best rating — nuke 9–13

13–0Biggest win — mirage

9Longest win streak

5–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 73% over 11anubisWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	20	10–10	50%	0.06
dust2	A	16	10–6	63%	0.06
cache	A	16	9–7	56%	0.05
ancient	A	12	7–5	58%	0.06
inferno	S	11	8–3	73%	0.07
nuke	S	11	8–3	73%	0.07
anubis	C	10	4–6	40%	0.02
train	—	3	3–0	100%	0.05
overpass	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

152,382Lifetime kills

1.21K/D · Top 25% of tracked players

5,171Matches

53.0%Match win rate · Top 10% of tracked players

54.3%Headshot % · Top 25% of tracked players

15.4%Shot accuracy · Top 50% of tracked players

18,516MVPs

2,903Hours (in match)

8,455Bombs planted

2,284Bombs defused

Most-used weapons

AK-4752,488

M4A4 / M4A1-S33,678

Desert Eagle15,212

AWP11,664

P2000 / USP-S10,264

P2507,072

Glock-184,813

Tec-92,090

Knife2,026

FAMAS1,963

Lifetime map wins

9,204dust2

8,013inferno

4,550train

3,108nuke

3,016cbble

496vertigo

26office

22dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.0%Headshot accuracy

33.9%Accuracy (enemy spotted)

38.0%Spray accuracy

78.0%Counter-strafing

10.3°Preaim

582msReaction time

38.3%T opening success

49.7%CT opening success

0.63Enemies flashed / flash

10.4%Flash assists

7.75HE damage / grenade

11.59Flashes / 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 38.2698% — below the 40% mark we flag

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.

40% win rate across 10 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
train	13–3	0.01	48%	17 Aug →
mirage	9–13	0.10	32%	17 Aug →
dust2	13–5	0.08	30%	17 Aug →
dust2	13–6	0.14	27%	11 Aug →
cache	4–13	0.12	27%	21 Jul →
inferno	13–5	0.09	15%	20 Jul →
ancient	13–4	0.06	14%	20 Jul →
mirage	12–12	0.11	19%	20 Jul →
anubis	13–6	0.06	19%	19 Jul →
mirage	2–13	-0.01	20%	19 Jul →
dust2	13–5	0.11	24%	19 Jul →
mirage	8–13	0.10	14%	19 Jul →
anubis	13–10	-0.03	21%	19 Jul →
ancient	5–13	0.03	18%	19 Jul →
nuke	13–9	-0.00	17%	18 Jul →
cache	13–8	0.06	19%	18 Jul →
mirage	1–13	-0.05	12%	18 Jul →
dust2	13–11	-0.01	31%	18 Jul →
cache	13–16	-0.01	26%	18 Jul →
ancient	11–13	0.01	31%	18 Jul →
anubis	6–13	-0.07	8%	18 Jul →
dust2	13–3	-0.04	27%	18 Jul →
inferno	13–4	0.14	32%	18 Jul →
mirage	13–8	0.06	22%	18 Jul →
nuke	13–9	0.05	30%	17 Jul →
mirage	13–7	0.08	33%	17 Jul →
dust2	13–11	0.01	27%	17 Jul →
nuke	16–14	0.04	17%	17 Jul →
cache	13–2	0.11	26%	17 Jul →
mirage	13–5	-0.01	35%	17 Jul →
anubis	11–13	-0.03	20%	16 Jul →
ancient	13–4	0.02	21%	16 Jul →
mirage	5–13	-0.02	19%	16 Jul →
mirage	11–13	0.23	25%	14 Jul →
dust2	13–8	0.05	28%	14 Jul →
cache	10–13	-0.03	22%	13 Jul →
nuke	13–7	0.05	25%	13 Jul →
cache	11–13	0.01	21%	12 Jul →
dust2	12–12	0.03	32%	12 Jul →
train	13–10	0.08	34%	12 Jul →
anubis	1–13	0.00	38%	12 Jul →
mirage	13–8	0.13	33%	12 Jul →
inferno	13–11	0.19	20%	12 Jul →
nuke	5–0	0.00	36%	12 Jul →
ancient	9–13	0.06	24%	12 Jul →
cache	13–7	-0.05	28%	12 Jul →
inferno	13–10	0.04	29%	11 Jul →
cache	13–1	0.02	24%	11 Jul →
ancient	13–1	0.12	19%	11 Jul →
dust2	13–3	0.09	16%	11 Jul →
anubis	13–8	0.09	29%	11 Jul →
inferno	4–13	0.01	33%	11 Jul →
cache	16–12	0.03	17%	11 Jul →
mirage	13–0	0.07	21%	11 Jul →
ancient	8–13	0.10	14%	11 Jul →
nuke	9–13	0.23	22%	11 Jul →
cache	13–7	0.18	22%	11 Jul →
ancient	13–4	0.16	20%	11 Jul →
mirage	10–13	0.14	24%	11 Jul →
dust2	5–13	0.20	24%	11 Jul →
inferno	13–6	0.05	28%	10 Jul →
nuke	13–4	0.07	29%	10 Jul →
mirage	13–0	0.08	14%	10 Jul →
ancient	8–13	0.03	17%	10 Jul →
anubis	5–13	-0.02	18%	10 Jul →
dust2	13–9	0.12	37%	10 Jul →
mirage	13–7	0.09	18%	10 Jul →
mirage	13–9	0.05	20%	9 Jul →
overpass	8–13	0.05	24%	9 Jul →
inferno	12–12	0.11	32%	9 Jul →
nuke	12–12	0.05	41%	8 Jul →
mirage	13–9	0.01	23%	8 Jul →
dust2	6–13	0.02	29%	7 Jul →
cache	4–13	0.03	26%	7 Jul →
nuke	9–13	0.09	29%	6 Jul →
cache	13–7	0.08	27%	6 Jul →
nuke	13–6	0.10	39%	5 Jul →
inferno	13–8	0.10	35%	5 Jul →
mirage	10–13	0.07	27%	5 Jul →
anubis	13–3	0.10	18%	5 Jul →
cache	4–13	0.07	25%	5 Jul →
dust2	9–13	0.16	28%	5 Jul →
inferno	13–11	0.07	11%	4 Jul →
dust2	12–12	0.00	23%	4 Jul →
cache	7–13	0.05	25%	4 Jul →
ancient	13–5	0.07	19%	4 Jul →
anubis	10–13	0.06	26%	4 Jul →
mirage	13–8	0.09	34%	4 Jul →
nuke	13–4	0.05	14%	4 Jul →
inferno	10–13	-0.04	23%	4 Jul →
cache	13–9	0.13	22%	4 Jul →
ancient	13–6	0.02	24%	3 Jul →
dust2	13–3	0.01	30%	3 Jul →
train	13–5	0.06	28%	3 Jul →
inferno	13–8	0.07	16%	3 Jul →
cache	13–7	0.02	28%	3 Jul →
anubis	15–15	0.03	12%	3 Jul →
ancient	13–6	0.06	28%	2 Jul →
dust2	12–12	-0.03	21%	2 Jul →
mirage	4–13	-0.04	17%	2 Jul →