BaasPhotha — CS2 Stats

76561199146055460[U:1:1185789732]Steam profile ↗✓ No bans

389Tracked matches50%Win rate2024Tracked since

CSDB Rating3.7 Learning

Premier CS Rating4,855Grey band · top ~79.4% of ranked players (population est.)

CSDB Leaderboard#20684 of 26838 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

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

Aim53

Positioning39

Utility12

0–100 skill scores via Leetify.

Recent form

HOT44–55–1Last 10044%Win rateWLWWWWWWLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim5.3

Aggression5.2

Utility1.2

Positioning3.9

Opening Duels1.1

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 75% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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. 645ms 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

Aim5.3

Positioning3.9

Utility1.2

Mechanics6.4

Opening Duels1.1

Win Impact5.0

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time640ms+6ms

first ⅓ avg 634ms → last ⅓ avg 640ms

Headshot accuracy13.0%−3.9%

first ⅓ avg 16.9% → last ⅓ avg 13.0%

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

0.18Best rating — dust2 13–9

13–1Biggest win — mirage

6Longest win streak

4–9In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 56% over 27dust2Weakest map · 37% over 27

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	27	10–17	37%	0.01
mirage	A	27	15–12	56%	0.01
inferno	C	16	7–9	44%	0.01
nuke	B	14	7–7	50%	-0.00
vertigo	C	8	3–5	38%	-0.01
anubis	—	4	1–3	25%	-0.02
train	—	2	0–2	0%	-0.01
cache	—	1	1–0	100%	-0.00
overpass	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches

50%Win rate

1.05Avg K/D

51.4ADR

55%Headshot %

Clutches & streaks

0%1v1 clutch win

100%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	56%	1.03	12.2
Inferno	1	0%	1.22	22.0

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.

13.5%Headshot accuracy

33.2%Accuracy (enemy spotted)

34.8%Spray accuracy

78.7%Counter-strafing

10.0°Preaim

645msReaction time

31.8%T opening success

36.6%CT opening success

0.26Enemies flashed / flash

3.1%Flash assists

3.94HE damage / grenade

1.28Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.4688% — below the 15% mark we flag
Aim Training →
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 0.264 — 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 31.8169% — below the 40% mark we flag

Spend your practice time on Dust 2

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

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.00	14%	6 Aug →
dust2	7–13	-0.07	10%	5 Aug →
mirage	13–3	0.03	11%	5 Aug →
nuke	13–10	0.05	8%	3 Aug →
mirage	13–1	-0.03	10%	30 Jul →
dust2	13–10	-0.03	17%	29 Jul →
nuke	13–7	0.00	9%	29 Jul →
mirage	13–2	0.02	9%	29 Jul →
dust2	4–13	-0.02	14%	29 Jul →
inferno	13–8	0.04	26%	28 Jul →
nuke	13–3	-0.00	9%	28 Jul →
mirage	10–13	0.02	19%	27 Jul →
inferno	13–9	0.07	24%	27 Jul →
mirage	5–13	-0.02	21%	27 Jul →
nuke	13–7	-0.03	22%	26 Jul →
cache	13–9	-0.00	21%	26 Jul →
dust2	6–13	0.06	11%	26 Jul →
mirage	13–9	0.08	16%	26 Jul →
dust2	4–13	-0.02	12%	23 Jul →
inferno	6–13	-0.00	8%	22 Jul →
dust2	7–13	-0.03	16%	21 Jul →
dust2	2–13	-0.05	10%	21 Jul →
mirage	13–10	0.00	16%	21 Jul →
anubis	13–7	0.00	10%	7 Mar →
mirage	5–13	-0.05	3%	22 Feb →
dust2	11–13	0.01	4%	22 Feb →
train	4–13	-0.03	12%	27 Jun →
anubis	9–13	-0.06	10%	25 Jun →
dust2	11–13	-0.04	8%	8 Jun →
dust2	2–13	-0.03	21%	7 Jun →
dust2	3–13	-0.01	9%	29 May →
dust2	13–11	0.11	14%	29 May →
mirage	13–5	0.07	6%	29 May →
dust2	8–13	0.02	0%	28 May →
inferno	10–13	-0.02	14%	27 May →
mirage	15–15	0.04	15%	27 May →
mirage	13–3	0.02	8%	26 May →
anubis	4–13	0.00	3%	26 May →
mirage	11–13	-0.05	17%	22 May →
mirage	9–13	0.00	24%	20 May →
nuke	13–8	-0.03	21%	20 May →
inferno	8–13	-0.01	15%	18 May →
train	10–13	0.01	17%	11 May →
nuke	13–9	0.00	8%	10 May →
mirage	8–13	0.00	10%	10 May →
mirage	5–13	-0.05	4%	16 Aug →
dust2	9–13	0.00	24%	7 Aug →
nuke	11–13	-0.05	20%	3 Aug →
vertigo	13–5	0.03	18%	3 Aug →
mirage	13–8	0.02	24%	1 Aug →
mirage	7–13	0.02	15%	1 Aug →
dust2	13–9	0.18	24%	1 Aug →
inferno	13–11	0.04	17%	30 Jul →
vertigo	4–13	-0.03	13%	29 Jul →
inferno	13–11	0.10	24%	29 Jul →
inferno	13–8	0.16	10%	28 Jul →
vertigo	6–13	-0.02	9%	28 Jul →
dust2	13–9	0.09	15%	28 Jul →
dust2	13–4	0.02	20%	27 Jul →
nuke	11–13	0.06	18%	27 Jul →
anubis	10–13	-0.02	35%	27 Jul →
nuke	6–13	0.08	23%	27 Jul →
mirage	13–8	0.00	16%	27 Jul →
vertigo	4–13	-0.04	16%	27 Jul →
vertigo	16–12	0.05	10%	24 Jul →
nuke	3–13	-0.01	16%	24 Jul →
dust2	13–7	0.08	14%	23 Jul →
inferno	6–13	0.01	18%	23 Jul →
mirage	1–13	-0.05	19%	4 Jul →
inferno	4–13	0.01	13%	30 Jun →
dust2	10–13	-0.00	15%	24 Jun →
nuke	11–13	-0.01	21%	24 Jun →
mirage	13–6	0.01	18%	24 Jun →
inferno	11–13	-0.08	23%	24 Jun →
mirage	7–13	-0.02	15%	22 Jun →
dust2	2–13	-0.10	18%	20 Jun →
dust2	7–13	0.01	20%	16 Jun →
vertigo	11–13	-0.03	10%	13 Jun →
mirage	13–6	0.06	6%	13 Jun →
mirage	16–13	-0.02	15%	13 Jun →
mirage	16–13	0.03	18%	13 Jun →
mirage	8–13	0.01	16%	13 Jun →
vertigo	5–13	-0.08	14%	12 Jun →
mirage	13–9	-0.01	19%	12 Jun →
dust2	13–1	0.08	18%	12 Jun →
vertigo	13–7	0.04	23%	12 Jun →
dust2	13–7	0.11	17%	11 Jun →
nuke	13–5	0.00	17%	11 Jun →
inferno	8–13	0.01	10%	11 Jun →
nuke	3–13	-0.04	8%	8 Jun →
overpass	7–9	-0.07	21%	8 Jun →
inferno	9–6	0.04	19%	8 Jun →
inferno	2–9	-0.13	9%	8 Jun →
inferno	3–9	-0.16	18%	8 Jun →
nuke	5–9	-0.06	10%	31 May →
dust2	10–13	-0.03	18%	28 May →
inferno	13–9	0.06	22%	26 May →
dust2	9–13	-0.11	30%	26 May →
mirage	13–8	0.06	6%	26 May →
dust2	13–9	0.03	34%	26 May →