7Spy^ — CS2 Stats

76561198148576996[U:1:188311268]

1,847Tracked matches55%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating22,490Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#9017 of 34274 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning44

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateLLLWWLWLWW

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

Player DNA

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

Aim6.7

Aggression7.2

Utility5.0

Positioning4.4

Opening Duels3.5

Clutch3.2

Strong 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 ropz 88% playstyle similarity

Most alike: utility contribution, 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

T-side openings. Opening success drops from 54% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms 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

Positioning4.4

Utility5.0

Mechanics4.7

Opening Duels3.5

Win Impact6.7

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time578ms−26ms

first ⅓ avg 604ms → last ⅓ avg 578ms

Headshot accuracy22.3%+1.6%

first ⅓ avg 20.7% → last ⅓ avg 22.3%

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

0.13Best rating — anubis 13–10

13–1Biggest win — mirage

7Longest win streak

L3Current streak

8–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 63% over 49nukeWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	49	31–18	63%	0.01
inferno	A	19	11–8	58%	0.01
nuke	D	12	4–8	33%	0.02
anubis	A	7	4–3	57%	0.01
mirage	—	4	2–2	50%	0.03
cache	—	4	2–2	50%	-0.04
overpass	—	4	2–2	50%	0.01
ancient	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

603Matches

55%Win rate

1.23Avg K/D

84.1ADR

46%Headshot %

Clutches & streaks

36%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	60	53%	1.12	17.0
Inferno	38	66%	1.18	16.6
Nuke	25	64%	1.13	18.0
Anubis	24	42%	0.93	14.2
Overpass	19	42%	0.95	13.8
Mirage	15	20%	0.98	15.9
Ancient	6	17%	0.95	15.5
Train	4	50%	1.14	17.8

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.

19.9%Headshot accuracy

32.5%Accuracy (enemy spotted)

34.2%Spray accuracy

71.3%Counter-strafing

8.2°Preaim

566msReaction time

34.3%T opening success

53.8%CT opening success

0.64Enemies flashed / flash

4.5%Flash assists

11.33HE damage / grenade

6.82Flashes / 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 34.2569% — 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.

33% win rate across 12 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
nuke	6–13	0.10	17%	19 Aug →
dust2	9–13	0.04	23%	18 Aug →
mirage	9–13	-0.03	7%	18 Aug →
anubis	13–11	-0.00	35%	18 Aug →
dust2	13–4	-0.05	19%	17 Aug →
cache	11–13	-0.02	2%	17 Aug →
dust2	13–9	0.02	13%	15 Aug →
inferno	11–13	-0.04	25%	14 Aug →
dust2	16–14	0.00	21%	13 Aug →
cache	13–8	-0.09	15%	10 Aug →
dust2	13–6	0.04	22%	8 Aug →
dust2	16–12	0.04	14%	6 Aug →
inferno	13–9	0.01	17%	5 Aug →
nuke	13–11	0.07	17%	4 Aug →
dust2	13–10	0.06	13%	4 Aug →
dust2	2–13	-0.08	24%	1 Aug →
inferno	7–11	-0.02	36%	1 Aug →
nuke	11–13	0.03	26%	1 Aug →
dust2	13–3	0.02	23%	1 Aug →
inferno	0–5	-0.10	50%	31 Jul →
inferno	10–0	0.11	26%	31 Jul →
dust2	9–13	-0.02	21%	31 Jul →
nuke	1–13	-0.04	26%	31 Jul →
anubis	15–15	-0.01	14%	31 Jul →
dust2	13–11	-0.10	50%	30 Jul →
dust2	13–8	-0.03	18%	30 Jul →
anubis	13–9	-0.00	7%	28 Jul →
dust2	6–13	-0.02	16%	28 Jul →
dust2	13–3	0.06	25%	28 Jul →
anubis	3–10	-0.02	33%	25 Jul →
dust2	13–2	0.09	18%	25 Jul →
dust2	4–7	0.03	47%	25 Jul →
inferno	13–10	0.03	17%	25 Jul →
dust2	13–8	-0.02	26%	24 Jul →
mirage	13–1	0.10	40%	24 Jul →
dust2	13–1	0.04	29%	23 Jul →
inferno	13–2	0.05	39%	23 Jul →
dust2	11–13	0.03	34%	21 Jul →
inferno	13–4	0.09	29%	21 Jul →
inferno	13–10	0.07	23%	21 Jul →
inferno	11–13	-0.05	24%	21 Jul →
dust2	13–6	-0.08	16%	20 Jul →
anubis	13–7	-0.01	18%	20 Jul →
nuke	14–16	-0.04	18%	20 Jul →
nuke	13–6	0.00	13%	19 Jul →
dust2	16–14	-0.01	24%	19 Jul →
nuke	11–13	-0.03	29%	18 Jul →
inferno	11–13	-0.01	26%	18 Jul →
dust2	9–13	0.00	25%	18 Jul →
dust2	16–14	0.00	15%	18 Jul →
dust2	13–7	-0.02	17%	18 Jul →
dust2	13–11	0.00	26%	17 Jul →
dust2	13–3	0.08	25%	17 Jul →
dust2	13–9	0.06	22%	17 Jul →
dust2	4–13	-0.02	35%	17 Jul →
dust2	7–13	0.00	18%	17 Jul →
inferno	13–9	0.04	20%	16 Jul →
dust2	5–13	-0.02	27%	16 Jul →
inferno	13–6	0.08	22%	16 Jul →
dust2	13–16	-0.03	20%	16 Jul →
dust2	13–3	0.06	31%	16 Jul →
nuke	13–4	0.01	15%	15 Jul →
dust2	13–5	0.11	25%	15 Jul →
dust2	4–13	-0.07	20%	15 Jul →
dust2	13–10	0.02	22%	14 Jul →
dust2	2–13	-0.04	14%	14 Jul →
cache	13–3	0.02	19%	14 Jul →
nuke	13–4	0.12	21%	14 Jul →
inferno	7–13	-0.05	8%	14 Jul →
mirage	7–13	0.02	13%	7 Jul →
inferno	11–13	-0.04	18%	6 Jul →
dust2	13–3	0.01	23%	6 Jul →
dust2	6–13	0.02	8%	4 Jul →
overpass	13–6	0.01	11%	4 Jul →
anubis	13–10	0.13	18%	3 Jul →
inferno	10–13	-0.01	25%	3 Jul →
nuke	9–13	0.06	36%	3 Jul →
nuke	2–5	-0.07	14%	2 Jul →
overpass	5–13	0.04	16%	1 Jul →
anubis	9–13	0.01	20%	1 Jul →
dust2	3–13	0.00	0%	28 Jun →
dust2	15–15	0.12	31%	28 Jun →
dust2	13–10	0.08	23%	28 Jun →
ancient	9–13	0.06	20%	28 Jun →
dust2	13–7	0.01	23%	27 Jun →
inferno	13–6	0.06	29%	27 Jun →
cache	3–6	-0.07	23%	26 Jun →
dust2	13–10	0.04	21%	26 Jun →
dust2	13–4	0.07	30%	26 Jun →
dust2	11–13	-0.01	27%	26 Jun →
dust2	13–8	0.01	15%	26 Jun →
inferno	13–4	0.05	24%	26 Jun →
inferno	13–6	-0.01	26%	25 Jun →
nuke	11–13	0.04	25%	25 Jun →
dust2	13–6	0.03	18%	25 Jun →
dust2	7–1	-0.03	21%	24 Jun →
overpass	7–13	-0.04	20%	24 Jun →
dust2	2–13	-0.05	25%	24 Jun →
overpass	16–14	0.03	20%	24 Jun →
mirage	13–7	0.04	30%	23 Jun →