S7VEN — CS2 Stats

76561199235671294[U:1:1275405566]1 game ban

2,741Tracked matches47%Win rate2022Tracked since

2,522Hours in CS17Hrs last 2 wks

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating28,322Top 5% of 819 CSDB-tracked playersRed band · top ~1.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning40

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateWLWLLWWWLL

Last 10 vs previous 10: +0pp win rate · +0.05 avg rating

Player DNA

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

Aim8.7

Aggression4.9

Utility5.4

Positioning4.0

Opening Duels0.3

Clutch3.8

Sharp aimer

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 89% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 47 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 587ms 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

Aim8.7

Positioning4.0

Utility5.4

Mechanics7.5

Opening Duels0.6

Win Impact3.9

Composite 6.1/10 (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 rating0.01−0.05

first ⅓ avg 0.06 → last ⅓ avg 0.01

Reaction time594ms−25ms

first ⅓ avg 619ms → last ⅓ avg 594ms

Headshot accuracy22.7%−2.3%

first ⅓ avg 24.9% → last ⅓ avg 22.7%

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

0.20Best rating — inferno 13–6

13–2Biggest win — ancient

6Longest win streak

8–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 78% over 9nukeWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	24	8–16	33%	0.02
ancient	A	18	10–8	56%	0.04
cache	C	17	6–11	35%	0.02
dust2	D	12	4–8	33%	0.05
anubis	S	9	7–2	78%	0.03
inferno	A	8	5–3	63%	0.05
nuke	D	6	0–6	0%	-0.00
train	—	3	3–0	100%	0.09
vertigo	—	2	1–1	50%	0.12
boulder	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,015Lifetime kills

1.03K/D

2,648Matches

51.3%Match win rate · Top 25% of tracked players

55.5%Headshot % · Top 25% of tracked players

8.8%Shot accuracy

8,014MVPs

2,643Hours (in match)

4,587Bombs planted

1,131Bombs defused

Most-used weapons

AK-4731,533

M4A4 / M4A1-S9,638

AWP4,544

P2000 / USP-S4,225

Desert Eagle2,943

Glock-182,510

MP92,152

Galil AR1,789

Knife1,645

SSG 081,305

Lifetime map wins

5,868inferno

2,814dust2

2,673vertigo

1,883nuke

608train

102office

58italy

27lake

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

Faceit stats

Combat

1,322Matches

50%Win rate

1.08Avg K/D

81.5ADR

45%Headshot %

Clutches & streaks

39%1v1 clutch win

27%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	157	48%	1.18	16.4
Ancient	116	55%	1.11	16.1
Inferno	100	58%	1.05	16.7
Anubis	99	42%	0.99	14.6
Vertigo	87	49%	0.99	16.0
Dust2	50	42%	0.98	15.2
Nuke	21	38%	0.95	14.0
Overpass	19	58%	1.04	14.4

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.

22.0%Headshot accuracy

40.0%Accuracy (enemy spotted)

42.2%Spray accuracy

83.8%Counter-strafing

8.9°Preaim

587msReaction time

27.4%T opening success

35.1%CT opening success

0.57Enemies flashed / flash

5.3%Flash assists

10.28HE damage / grenade

8.49Flashes / 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 27.3797% — 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.

0% 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	13–6	0.03	15%	28 Aug →
dust2	6–13	-0.00	18%	28 Aug →
cache	13–6	-0.01	11%	25 Aug →
mirage	3–13	-0.04	38%	25 Aug →
nuke	1–12	0.02	18%	25 Aug →
mirage	13–7	0.01	25%	24 Aug →
anubis	13–3	0.07	16%	24 Aug →
inferno	13–4	0.04	23%	24 Aug →
nuke	8–13	0.13	24%	24 Aug →
mirage	8–13	0.09	33%	23 Aug →
ancient	13–4	0.04	23%	22 Aug →
train	13–11	0.09	34%	22 Aug →
anubis	13–9	-0.03	18%	16 Aug →
cache	7–13	-0.06	11%	16 Aug →
nuke	13–16	-0.03	14%	16 Aug →
mirage	13–7	-0.03	27%	15 Aug →
anubis	13–4	0.08	11%	15 Aug →
nuke	5–13	-0.10	0%	15 Aug →
mirage	1–13	-0.06	50%	15 Aug →
mirage	0–13	-0.06	50%	15 Aug →
mirage	9–13	-0.02	14%	15 Aug →
ancient	2–13	-0.00	16%	15 Aug →
cache	7–13	0.18	30%	15 Aug →
anubis	7–13	-0.02	24%	14 Aug →
cache	13–7	-0.03	15%	13 Aug →
mirage	1–13	-0.08	4%	13 Aug →
ancient	3–13	-0.04	17%	11 Aug →
dust2	13–7	0.17	46%	11 Aug →
ancient	13–5	0.03	17%	11 Aug →
ancient	13–9	-0.05	26%	9 Aug →
inferno	6–2	-0.04	29%	8 Aug →
ancient	5–1	0.08	44%	8 Aug →
dust2	13–8	-0.01	8%	8 Aug →
dust2	5–13	0.04	17%	8 Aug →
cache	8–13	-0.04	16%	8 Aug →
nuke	11–13	0.00	25%	8 Aug →
cache	9–13	-0.07	17%	8 Aug →
dust2	6–12	0.04	29%	8 Aug →
ancient	11–13	-0.01	13%	3 Aug →
boulder	6–13	0.07	28%	3 Aug →
cache	3–13	0.16	38%	3 Aug →
inferno	8–13	0.07	50%	2 Aug →
mirage	10–13	0.06	10%	2 Aug →
ancient	4–13	0.03	27%	2 Aug →
train	13–11	0.12	33%	2 Aug →
inferno	12–12	0.03	18%	2 Aug →
mirage	14–16	0.09	18%	2 Aug →
mirage	13–6	0.07	17%	2 Aug →
cache	8–13	-0.02	8%	2 Aug →
mirage	13–11	0.18	19%	2 Aug →
dust2	16–14	0.18	15%	2 Aug →
cache	13–8	0.11	16%	2 Aug →
dust2	11–13	0.10	43%	2 Aug →
cache	13–9	0.13	24%	2 Aug →
cache	4–13	-0.05	19%	2 Aug →
ancient	10–13	-0.00	14%	2 Aug →
cache	5–13	-0.04	32%	1 Aug →
dust2	6–13	0.04	18%	1 Aug →
ancient	2–13	-0.07	11%	1 Aug →
mirage	13–8	0.02	26%	1 Aug →
cache	10–13	-0.10	14%	1 Aug →
mirage	3–13	-0.09	28%	31 Jul →
mirage	19–15	-0.04	11%	31 Jul →
inferno	13–11	0.10	23%	31 Jul →
inferno	6–13	0.02	27%	31 Jul →
dust2	2–13	-0.03	20%	31 Jul →
ancient	1–13	0.03	33%	31 Jul →
nuke	3–13	-0.02	33%	31 Jul →
vertigo	10–13	0.08	21%	30 Jul →
ancient	13–4	0.15	23%	30 Jul →
cache	2–13	0.01	21%	30 Jul →
inferno	13–6	0.20	15%	30 Jul →
ancient	10–13	0.02	27%	30 Jul →
vertigo	13–11	0.16	20%	29 Jul →
mirage	7–13	-0.01	27%	29 Jul →
mirage	13–3	-0.07	50%	28 Jul →
ancient	16–13	0.14	22%	28 Jul →
mirage	8–13	0.02	20%	27 Jul →
ancient	13–2	0.02	22%	27 Jul →
anubis	13–7	0.13	17%	27 Jul →
dust2	14–16	0.00	27%	26 Jul →
ancient	13–4	0.12	17%	26 Jul →
mirage	8–13	-0.00	22%	26 Jul →
cache	13–2	0.02	27%	26 Jul →
mirage	13–7	0.08	16%	26 Jul →
dust2	13–11	0.04	34%	26 Jul →
mirage	11–13	0.06	23%	26 Jul →
dust2	9–13	-0.01	13%	25 Jul →
mirage	11–13	0.15	26%	25 Jul →
anubis	11–13	-0.02	12%	25 Jul →
ancient	13–4	0.17	33%	25 Jul →
cache	11–13	0.08	24%	25 Jul →
anubis	13–8	0.03	13%	24 Jul →
anubis	8–2	0.03	48%	24 Jul →
train	13–11	0.06	25%	24 Jul →
cache	13–5	0.12	38%	24 Jul →
ancient	13–10	0.08	27%	22 Jul →
mirage	10–13	0.07	24%	22 Jul →
mirage	6–13	0.02	30%	20 Jul →
inferno	13–9	-0.00	26%	20 Jul →