SAEEDOOO — CS2 Stats

76561199563005347[U:1:1602739619]✓ No bans

774Tracked matches45%Win rate2023Tracked since

775Hours in CS

CSDB Rating4.9 Developing

Premier CS Rating17,385Purple band · top ~18.9% of ranked players (population est.)

CSDB Leaderboard#19306 of 36595 tracked

FaceitLevel 3 · 870 ELOTop 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	49.3%	42.1%	42.5%	above
Shot accuracy	0.0%	12.1%	10.9%	10.9% short
Kill/death ratio	1.02	0.99	0.99	above
Match win rate	47.5%	43.9%	44.2%	above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim50

Positioning50

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWLWLLLWWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Aim5.0

Aggression7.8

Utility5.7

Positioning5.0

Opening Duels3.1

Clutch1.4

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 87% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 629ms 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

Aim5.0

Positioning5.0

Utility5.7

Mechanics6.0

Opening Duels3.1

Win Impact3.3

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.04

first ⅓ avg 0.01 → last ⅓ avg -0.03

Reaction time624ms−43ms

first ⅓ avg 667ms → last ⅓ avg 624ms

Headshot accuracy18.5%−4.7%

first ⅓ avg 23.2% → last ⅓ avg 18.5%

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

0.12Best rating — dust2 13–3

13–2Biggest win — mirage

6Longest win streak

9–13In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 63% over 8infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	14–16	47%	-0.01
mirage	A	17	10–7	59%	-0.03
ancient	A	16	9–7	56%	-0.00
cache	A	12	7–5	58%	-0.02
inferno	D	10	2–8	20%	-0.01
nuke	A	8	5–3	63%	-0.01
anubis	C	7	3–4	43%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,527Lifetime kills

1.02K/D · Top 50% of Level 3 players

2,198Matches

47.5%Match win rate · Top 25% of Level 3 players

49.3%Headshot % · Top 25% of Level 3 players

0.0%Shot accuracy

4,598MVPs

775Hours (in match)

2,079Bombs planted

545Bombs defused

Most-used weapons

AK-4710,193

M4A4 / M4A1-S6,675

AWP6,160

Desert Eagle2,787

P2000 / USP-S1,628

Glock-181,582

MP91,348

Galil AR754

MP7736

MAC-10664

Lifetime map wins

4,502dust2

3,137inferno

1,552nuke

895vertigo

376office

250train

150italy

4ar_shoots

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

Faceit stats

Combat

19Matches

32%Win rate

0.86Avg K/D

74.1ADR

59%Headshot %

Clutches & streaks

27%1v1 clutch win

17%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	40%	0.88	12.3
Dust2	4	0%	0.81	13.8
Nuke	2	50%	0.83	14.5
Ancient	2	0%	0.76	14.0
Train	1	100%	1.00	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.

19.1%Headshot accuracy

30.0%Accuracy (enemy spotted)

28.9%Spray accuracy

77.1%Counter-strafing

10.5°Preaim

629msReaction time

36.0%T opening success

48.5%CT opening success

0.69Enemies flashed / flash

6.2%Flash assists

9.76HE damage / grenade

5.83Flashes / 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 35.9765% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	16–12	-0.03	17%	30 Aug →
dust2	13–16	-0.03	11%	25 Aug →
ancient	16–12	-0.02	22%	25 Aug →
dust2	11–13	-0.05	14%	25 Aug →
inferno	11–13	-0.04	29%	23 Aug →
nuke	9–13	-0.03	18%	23 Aug →
cache	13–4	-0.04	19%	23 Aug →
dust2	13–11	-0.04	26%	23 Aug →
ancient	13–7	-0.03	18%	23 Aug →
mirage	13–11	-0.01	16%	23 Aug →
ancient	16–14	0.02	30%	23 Aug →
inferno	14–16	-0.03	18%	23 Aug →
nuke	7–13	0.02	22%	21 Aug →
inferno	11–13	-0.07	17%	21 Aug →
cache	13–9	-0.02	15%	21 Aug →
anubis	4–13	-0.05	9%	21 Aug →
cache	9–13	-0.07	22%	20 Aug →
inferno	11–13	-0.05	16%	20 Aug →
mirage	13–2	-0.06	14%	20 Aug →
dust2	15–15	-0.02	12%	20 Aug →
dust2	13–3	0.12	18%	19 Aug →
cache	8–13	-0.01	26%	19 Aug →
dust2	13–8	-0.06	17%	19 Aug →
mirage	13–10	0.03	27%	19 Aug →
anubis	6–13	-0.06	17%	19 Aug →
ancient	9–13	-0.01	33%	18 Aug →
anubis	6–13	-0.07	13%	17 Aug →
dust2	3–13	-0.08	19%	17 Aug →
inferno	7–13	0.02	13%	17 Aug →
ancient	13–5	-0.08	20%	17 Aug →
inferno	13–5	0.06	9%	17 Aug →
dust2	5–13	-0.10	21%	17 Aug →
mirage	5–13	-0.08	14%	16 Aug →
dust2	13–11	0.01	16%	16 Aug →
ancient	10–13	-0.02	21%	16 Aug →
cache	13–5	0.03	24%	16 Aug →
mirage	13–8	-0.03	23%	16 Aug →
ancient	13–4	0.04	12%	15 Aug →
anubis	13–8	0.01	10%	15 Aug →
dust2	13–7	0.03	8%	15 Aug →
inferno	14–16	-0.03	23%	15 Aug →
mirage	14–16	-0.04	26%	15 Aug →
dust2	10–13	-0.02	6%	15 Aug →
dust2	11–13	0.06	18%	14 Aug →
mirage	9–13	-0.02	16%	12 Aug →
dust2	13–9	-0.04	19%	12 Aug →
mirage	13–4	-0.04	36%	12 Aug →
anubis	13–8	-0.06	19%	12 Aug →
dust2	13–11	-0.06	16%	12 Aug →
nuke	13–10	0.01	14%	12 Aug →
mirage	13–9	-0.06	16%	12 Aug →
dust2	11–13	-0.01	13%	12 Aug →
dust2	13–10	-0.04	16%	12 Aug →
dust2	13–7	0.03	24%	8 Aug →
ancient	13–10	-0.01	5%	8 Aug →
cache	10–13	-0.05	27%	8 Aug →
ancient	11–13	0.01	20%	8 Aug →
inferno	13–16	0.03	11%	8 Aug →
dust2	13–11	-0.06	17%	7 Aug →
cache	13–9	-0.00	34%	7 Aug →
mirage	13–6	0.03	35%	7 Aug →
mirage	3–13	-0.09	21%	7 Aug →
dust2	13–11	-0.06	18%	7 Aug →
mirage	6–13	-0.01	30%	7 Aug →
dust2	5–13	0.02	17%	7 Aug →
cache	11–13	-0.04	10%	6 Aug →
cache	13–7	-0.02	21%	6 Aug →
cache	13–10	-0.02	21%	6 Aug →
ancient	14–16	0.05	13%	6 Aug →
dust2	9–13	0.03	28%	6 Aug →
inferno	13–9	0.03	27%	6 Aug →
mirage	13–8	0.08	26%	6 Aug →
ancient	13–8	-0.03	22%	5 Aug →
dust2	13–10	0.01	19%	5 Aug →
ancient	10–13	-0.01	29%	5 Aug →
dust2	13–11	0.01	30%	5 Aug →
mirage	16–13	-0.02	20%	5 Aug →
dust2	4–13	0.07	29%	5 Aug →
nuke	10–13	-0.07	20%	3 Aug →
anubis	13–9	0.04	31%	3 Aug →
dust2	13–10	-0.01	21%	2 Aug →
dust2	11–13	0.03	28%	2 Aug →
nuke	13–7	-0.02	30%	2 Aug →
mirage	13–5	-0.07	25%	2 Aug →
dust2	5–13	0.05	20%	31 Jul →
ancient	15–15	0.06	39%	30 Jul →
cache	13–4	0.03	34%	29 Jul →
dust2	15–15	-0.05	15%	28 Jul →
inferno	8–13	0.00	19%	26 Jul →
mirage	15–15	-0.06	18%	26 Jul →
anubis	10–13	0.10	21%	24 Jul →
ancient	13–11	-0.01	48%	24 Jul →
ancient	5–13	-0.01	26%	24 Jul →
dust2	7–13	0.04	9%	24 Jul →
ancient	13–10	-0.02	19%	24 Jul →
nuke	13–10	-0.01	13%	24 Jul →
cache	10–13	-0.01	27%	21 Jul →
dust2	3–13	0.02	9%	21 Jul →
nuke	13–10	0.05	21%	21 Jul →
mirage	3–13	-0.10	10%	21 Jul →