Sev7n — CS2 Stats

76561198231209264[U:1:270943536]Steam profile ↗

785Tracked matches48%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating20,475Pink band · top ~8% of ranked players (population est.)

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim80

Positioning67

Utility48

0–100 skill scores via Leetify.

Recent form

COLD60–38–2Last 10060%Win rateLWLWLLLLLL

Last 10 vs previous 10: -60pp win rate · -0.01 avg rating

Player DNA

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

Aim8.0

Aggression7.8

Utility4.8

Positioning6.7

Opening Duels2.8

Clutch2.6

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 92% playstyle similarity

Most alike: positioning profile, 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

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

Reaction time. 675ms 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

Aim8.0

Positioning6.7

Utility4.8

Mechanics8.4

Opening Duels2.8

Win Impact4.4

Composite 6.6/10 (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 rating0.01−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time680ms−58ms

first ⅓ avg 738ms → last ⅓ avg 680ms

Headshot accuracy26.7%−4.6%

first ⅓ avg 31.3% → last ⅓ avg 26.7%

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

0.25Best rating — mirage 13–5

13–1Biggest win — dust2

9Longest win streak

10–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 52% over 33

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	17–16	52%	0.01
mirage	S	28	19–9	68%	0.02
ancient	A	14	9–5	64%	0.01
inferno	A	8	5–3	63%	0.04
overpass	A	7	4–3	57%	0.03
anubis	S	5	4–1	80%	0.04
nuke	—	3	2–1	67%	0.04
cache	—	1	0–1	0%	-0.08
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (52% over 33). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

762Matches

52%Win rate

1.25Avg K/D

78.1ADR

61%Headshot %

Clutches & streaks

33%1v1 clutch win

18%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	149	57%	0.97	16.1
Dust2	109	50%	1.03	15.7
Ancient	80	56%	1.09	16.1
Inferno	68	40%	0.98	15.0
Nuke	9	33%	0.92	14.4
Overpass	7	57%	1.24	18.6
Anubis	3	100%	1.47	20.3
Train	2	0%	1.10	18.0

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.

27.0%Headshot accuracy

36.1%Accuracy (enemy spotted)

36.9%Spray accuracy

87.7%Counter-strafing

9.8°Preaim

675msReaction time

35.8%T opening success

46.6%CT opening success

0.44Enemies flashed / flash

9.9%Flash assists

12.56HE damage / grenade

6.94Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4408 — below the 0.5 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 35.7521% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.04	22%	21 May →
dust2	13–6	-0.04	25%	14 May →
cache	14–16	-0.08	20%	12 May →
mirage	13–5	-0.03	17%	8 May →
dust2	10–13	-0.05	21%	28 Apr →
overpass	11–13	0.03	31%	26 Apr →
dust2	14–16	0.06	28%	21 Apr →
nuke	6–13	0.01	23%	21 Apr →
inferno	9–13	0.09	34%	20 Apr →
mirage	9–13	0.00	34%	18 Apr →
dust2	13–10	0.06	28%	18 Apr →
inferno	13–4	0.11	19%	18 Apr →
mirage	13–3	0.01	30%	16 Apr →
overpass	13–11	-0.02	30%	15 Apr →
mirage	11–13	-0.04	26%	14 Apr →
dust2	13–8	-0.01	24%	14 Apr →
ancient	16–14	0.01	42%	12 Apr →
mirage	13–10	0.03	28%	12 Apr →
dust2	13–6	-0.02	10%	10 Apr →
mirage	7–13	-0.06	18%	8 Apr →
dust2	13–11	0.01	32%	8 Apr →
ancient	15–15	0.02	25%	5 Apr →
inferno	13–5	0.15	43%	5 Apr →
mirage	11–13	0.01	29%	5 Apr →
dust2	8–13	-0.01	31%	4 Apr →
ancient	10–13	0.00	22%	4 Apr →
mirage	13–7	0.09	32%	4 Apr →
overpass	8–13	0.08	31%	4 Apr →
anubis	16–12	0.12	26%	4 Apr →
mirage	9–13	-0.04	25%	3 Apr →
dust2	13–9	0.01	24%	3 Apr →
dust2	10–13	-0.03	20%	3 Apr →
dust2	4–13	0.02	33%	3 Apr →
ancient	13–7	-0.01	38%	3 Apr →
anubis	13–6	0.06	29%	1 Apr →
ancient	13–4	0.03	28%	31 Mar →
dust2	13–5	0.14	30%	31 Mar →
dust2	6–13	-0.09	30%	31 Mar →
mirage	13–11	0.10	32%	29 Mar →
dust2	13–11	0.00	31%	29 Mar →
nuke	13–9	0.08	31%	29 Mar →
dust2	13–8	0.08	36%	29 Mar →
ancient	13–6	-0.02	31%	28 Mar →
dust2	12–5	-0.01	25%	28 Mar →
dust2	13–5	0.07	33%	28 Mar →
mirage	13–11	0.05	27%	28 Mar →
inferno	13–7	-0.04	39%	24 Mar →
dust2	6–13	-0.04	24%	17 Mar →
mirage	16–13	-0.00	44%	17 Mar →
ancient	13–10	0.06	28%	17 Mar →
anubis	13–8	0.02	27%	16 Mar →
mirage	13–5	0.25	35%	16 Mar →
dust2	12–16	0.05	32%	15 Mar →
anubis	8–13	-0.03	36%	15 Mar →
inferno	4–13	-0.03	33%	7 Mar →
ancient	11–13	-0.03	27%	27 Feb →
dust2	13–7	0.13	30%	21 Feb →
dust2	11–13	-0.02	35%	17 Feb →
overpass	13–6	-0.04	23%	15 Feb →
dust2	0–13	-0.05	41%	15 Feb →
ancient	13–2	0.09	22%	15 Feb →
mirage	13–11	-0.00	26%	14 Feb →
mirage	13–7	-0.01	36%	13 Feb →
overpass	13–6	0.02	34%	12 Feb →
dust2	5–13	-0.01	40%	9 Feb →
dust2	13–9	0.03	38%	8 Feb →
mirage	7–13	-0.07	30%	8 Feb →
dust2	13–7	0.02	33%	8 Feb →
ancient	13–10	0.03	41%	8 Feb →
ancient	7–13	-0.02	21%	8 Feb →
inferno	9–13	-0.02	29%	8 Feb →
dust2	8–13	-0.01	37%	8 Feb →
mirage	13–5	0.02	29%	4 Feb →
mirage	13–7	-0.05	24%	2 Feb →
mirage	13–7	0.05	22%	1 Feb →
ancient	13–9	-0.01	26%	31 Jan →
dust2	13–9	-0.02	41%	31 Jan →
overpass	13–10	0.12	37%	30 Jan →
mirage	15–15	0.05	33%	30 Jan →
inferno	13–5	0.03	31%	30 Jan →
dust2	8–13	-0.04	33%	28 Jan →
overpass	12–16	0.03	24%	25 Jan →
mirage	16–14	0.11	26%	25 Jan →
inferno	13–11	0.05	28%	25 Jan →
dust2	11–13	-0.01	37%	25 Jan →
dust2	13–10	0.05	41%	24 Jan →
mirage	13–4	-0.08	29%	24 Jan →
ancient	8–13	0.04	28%	23 Jan →
dust2	6–13	-0.00	18%	23 Jan →
mirage	10–13	0.08	36%	23 Jan →
dust2	13–1	0.09	36%	22 Jan →
mirage	13–8	-0.00	30%	22 Jan →
anubis	13–9	0.05	28%	22 Jan →
mirage	13–11	-0.00	36%	21 Jan →
mirage	13–10	-0.04	31%	21 Jan →
mirage	13–8	0.03	34%	5 Jan →
ancient	13–5	-0.06	23%	5 Jan →
train	7–13	-0.03	35%	5 Jan →
nuke	13–2	0.04	30%	5 Jan →
mirage	11–13	0.03	49%	5 Jan →