πSELLi — CS2 Stats

BR76561198068069017[U:1:107803289]Steam profile ↗✓ No bans

733Tracked matches48%Win rate2024Tracked since

2,319Hours in CS19Hrs last 2 wks

CSDB Rating3.8 Learning

Premier CS Rating14,545Blue band · top ~30.8% of ranked players (population est.)

CSDB Leaderboard#11633 of 17648 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning34

Utility48

0–100 skill scores via Leetify.

Recent form

COLD45–46–9Last 10045%Win rateTLLLLWTWLW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim4.5

Aggression3.6

Utility4.8

Positioning3.4

Opening Duels0.2

Clutch0.0

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 76% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 671ms 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

Aim4.5

Positioning3.4

Utility4.8

Mechanics4.6

Opening Duels0.8

Win Impact4.4

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time674ms−23ms

first ⅓ avg 697ms → last ⅓ avg 674ms

Headshot accuracy19.2%−0.1%

first ⅓ avg 19.3% → last ⅓ avg 19.2%

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

0.10Best rating — dust2 13–2

13–1Biggest win — cache

4Longest win streak

6–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 54% over 37cacheWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	37	20–17	54%	-0.02
inferno	C	21	9–12	43%	-0.02
mirage	C	16	7–9	44%	-0.02
cache	D	11	3–8	27%	-0.02
nuke	B	8	4–4	50%	-0.00
anubis	—	4	2–2	50%	0.01
ancient	—	1	0–1	0%	-0.06
train	—	1	0–1	0%	-0.02
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Lifetime stats

52,492Lifetime kills

0.97K/D

3,507Matches

41.1%Match win rate

42.9%Headshot %

10.7%Shot accuracy

5,413MVPs

1,192Hours (in match)

3,673Bombs planted

510Bombs defused

Most-used weapons

AK-4713,680

M4A4 / M4A1-S12,361

P2000 / USP-S2,859

MAC-102,222

Galil AR2,050

MP92,032

Desert Eagle1,913

Glock-181,816

AWP1,535

FAMAS1,515

Lifetime map wins

9,048dust2

4,784inferno

722nuke

562vertigo

518cbble

428train

67ar_baggage

63lake

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

Faceit stats

Combat

9Matches

56%Win rate

0.67Avg K/D

65.8ADR

42%Headshot %

Clutches & streaks

14%1v1 clutch win

50%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	67%	0.94	14.7
Mirage	2	0%	0.58	12.0
Nuke	1	100%	0.87	13.0
Inferno	1	100%	0.80	16.0

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.

18.0%Headshot accuracy

32.3%Accuracy (enemy spotted)

33.5%Spray accuracy

70.7%Counter-strafing

10.9°Preaim

671msReaction time

25.3%T opening success

36.3%CT opening success

0.51Enemies flashed / flash

2.5%Flash assists

8.88HE damage / grenade

7.69Flashes / 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.

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 25.3051% — below the 40% mark we flag

Spend your practice time on Cache

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	12–12	-0.09	10%	26 Aug →
cache	3–13	0.05	18%	26 Aug →
inferno	2–13	-0.08	19%	26 Aug →
dust2	3–13	-0.08	24%	26 Aug →
mirage	11–13	-0.01	23%	22 Aug →
inferno	13–8	-0.04	14%	22 Aug →
dust2	12–12	0.03	16%	22 Aug →
dust2	12–3	0.03	30%	21 Aug →
inferno	8–13	-0.07	17%	21 Aug →
mirage	13–9	-0.01	16%	21 Aug →
mirage	13–11	0.01	16%	19 Aug →
dust2	8–1	0.00	40%	19 Aug →
cache	10–13	0.00	28%	19 Aug →
mirage	1–13	-0.09	13%	18 Aug →
dust2	13–6	-0.00	19%	18 Aug →
dust2	13–8	-0.01	21%	17 Aug →
inferno	13–3	-0.04	26%	17 Aug →
ancient	4–13	-0.06	12%	17 Aug →
train	9–13	-0.02	19%	17 Aug →
cache	12–12	-0.04	15%	16 Aug →
nuke	13–8	0.03	19%	15 Aug →
inferno	11–13	0.02	16%	14 Aug →
dust2	13–10	-0.04	14%	14 Aug →
inferno	13–10	-0.01	13%	12 Aug →
dust2	13–6	-0.07	16%	12 Aug →
mirage	13–6	-0.04	17%	12 Aug →
mirage	5–13	-0.06	24%	12 Aug →
mirage	7–13	-0.09	13%	10 Aug →
nuke	11–13	0.00	19%	10 Aug →
inferno	5–13	-0.07	14%	9 Aug →
inferno	4–13	-0.05	38%	9 Aug →
dust2	6–13	-0.09	17%	9 Aug →
dust2	11–13	-0.02	21%	8 Aug →
mirage	12–12	-0.03	14%	8 Aug →
inferno	13–3	-0.04	14%	8 Aug →
dust2	13–3	0.04	20%	8 Aug →
dust2	14–16	-0.08	18%	7 Aug →
cache	8–13	-0.05	19%	7 Aug →
nuke	13–10	-0.01	20%	6 Aug →
inferno	12–12	-0.03	28%	5 Aug →
dust2	13–4	0.04	21%	5 Aug →
mirage	13–4	0.01	12%	5 Aug →
dust2	13–11	0.01	21%	4 Aug →
cache	5–13	-0.04	16%	4 Aug →
dust2	13–3	0.05	21%	4 Aug →
mirage	13–11	0.02	16%	2 Aug →
cache	6–13	-0.09	13%	2 Aug →
dust2	13–8	0.01	15%	2 Aug →
mirage	13–6	0.05	11%	2 Aug →
dust2	9–13	-0.06	17%	2 Aug →
cache	13–5	0.06	17%	2 Aug →
dust2	13–9	0.01	25%	1 Aug →
dust2	2–13	-0.08	30%	1 Aug →
nuke	13–7	-0.00	16%	1 Aug →
inferno	13–6	-0.00	13%	1 Aug →
dust2	6–13	0.03	12%	29 Jul →
inferno	7–13	-0.00	21%	28 Jul →
dust2	6–13	-0.07	28%	28 Jul →
dust2	10–13	-0.02	31%	26 Jul →
dust2	7–13	-0.06	16%	26 Jul →
mirage	6–13	-0.04	21%	26 Jul →
anubis	13–11	0.06	8%	26 Jul →
inferno	13–11	0.00	30%	24 Jul →
dust2	13–9	0.05	15%	24 Jul →
dust2	13–9	0.01	18%	24 Jul →
inferno	11–13	0.03	16%	22 Jul →
mirage	13–4	0.05	5%	21 Jul →
dust2	9–13	-0.03	18%	21 Jul →
inferno	8–13	0.09	20%	20 Jul →
nuke	13–9	0.01	22%	20 Jul →
dust2	13–2	0.10	14%	20 Jul →
inferno	9–13	-0.06	36%	19 Jul →
anubis	9–13	-0.03	26%	19 Jul →
inferno	13–5	-0.05	11%	19 Jul →
mirage	10–13	-0.06	9%	19 Jul →
mirage	7–13	0.01	23%	18 Jul →
cache	13–9	0.03	22%	18 Jul →
dust2	10–13	-0.08	19%	18 Jul →
anubis	15–15	-0.02	16%	15 Jul →
dust2	13–8	-0.04	27%	15 Jul →
nuke	11–13	-0.04	20%	15 Jul →
dust2	13–10	-0.01	7%	12 Jul →
inferno	13–8	0.03	14%	12 Jul →
nuke	11–13	0.03	14%	12 Jul →
anubis	13–6	0.04	18%	10 Jul →
nuke	15–15	-0.05	21%	10 Jul →
dust2	13–11	-0.01	12%	10 Jul →
inferno	5–13	-0.05	20%	8 Jul →
dust2	13–4	-0.02	18%	8 Jul →
overpass	8–13	-0.03	17%	8 Jul →
dust2	10–13	-0.11	23%	7 Jul →
dust2	7–13	-0.08	28%	6 Jul →
inferno	15–15	-0.02	17%	6 Jul →
mirage	4–13	-0.01	23%	6 Jul →
dust2	12–12	-0.00	28%	6 Jul →
inferno	13–5	-0.03	15%	5 Jul →
dust2	9–13	0.04	27%	5 Jul →
cache	4–13	-0.08	15%	5 Jul →
cache	13–1	-0.02	16%	4 Jul →
dust2	13–7	0.02	20%	4 Jul →