sangleZ — CS2 Stats

76561197998960624[U:1:38694896]

1,807Tracked matches59%Win rate2020Tracked since

4,075Hours in CS21Hrs last 2 wks

CSDB Rating3.9 Learning

Premier CS Rating19,240Purple band · top ~11.5% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median	vs Pink band
Headshot rate	42.9%	48.1%	5.2% short
Shot accuracy	13.3%	12.9%	above
Kill/death ratio	1.02	1.08	0.06 short
Match win rate	41.2%	46.5%	5.3% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim25

Positioning51

Utility55

0–100 skill scores via Leetify.

Recent form

HOT50–46–4Last 10050%Win rateLWWWWWWWWW

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

Player DNA

Aim2.5

Aggression5.4

Utility5.5

Positioning5.1

Opening Duels1.8

Clutch5.6

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 NiKo 81% 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. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.5

Positioning5.1

Utility5.5

Mechanics2.0

Opening Duels1.8

Win Impact7.9

Composite 3.9/10 (Learning), 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-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time595ms−65ms

first ⅓ avg 661ms → last ⅓ avg 595ms

Headshot accuracy15.3%−2.1%

first ⅓ avg 17.4% → last ⅓ avg 15.3%

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

0.14Best rating — inferno 13–5

13–1Biggest win — inferno

10Longest win streak

9–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 61% over 18mirageWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	24	13–11	54%	0.01
anubis	A	18	11–7	61%	-0.00
cache	A	16	9–7	56%	0.00
nuke	B	14	7–7	50%	0.01
dust2	C	11	4–7	36%	-0.03
mirage	D	7	2–5	29%	-0.02
ancient	B	6	3–3	50%	0.01
overpass	—	4	1–3	25%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,973Lifetime kills

1.02K/D

4,862Matches

41.2%Match win rate

42.9%Headshot %

13.3%Shot accuracy · Top 50% of tracked players

9,580MVPs

1,753Hours (in match)

3,658Bombs planted

1,094Bombs defused

Most-used weapons

M4A4 / M4A1-S20,165

AK-4719,865

AWP12,042

P2000 / USP-S6,888

P904,432

Glock-184,333

XM10144,247

Desert Eagle2,189

Five-SeveN1,128

MP71,032

Lifetime map wins

12,524inferno

8,377dust2

3,307nuke

2,545vertigo

617train

540cbble

27lake

21italy

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

Faceit stats

Combat

72Matches

56%Win rate

1.04Avg K/D

84.4ADR

43%Headshot %

Clutches & streaks

48%1v1 clutch win

4%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	18	50%	1.19	16.8
Mirage	11	55%	1.08	16.6
Anubis	8	88%	1.46	17.1
Nuke	7	57%	1.01	15.0
Dust2	4	75%	1.02	16.8
Vertigo	4	25%	1.00	17.5
Ancient	3	67%	1.16	15.3
Cache	1	100%	1.60	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.

15.3%Headshot accuracy

25.6%Accuracy (enemy spotted)

26.3%Spray accuracy

59.1%Counter-strafing

10.8°Preaim

586msReaction time

32.9%T opening success

41.7%CT opening success

0.56Enemies flashed / flash

5.6%Flash assists

10.12HE damage / grenade

10.18Flashes / 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 32.8508% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	4–13	0.00	19%	20 Aug →
anubis	13–5	-0.01	9%	18 Aug →
inferno	13–1	0.02	13%	17 Aug →
anubis	13–5	0.06	9%	17 Aug →
dust2	16–12	-0.07	11%	15 Aug →
cache	13–11	-0.02	10%	14 Aug →
anubis	13–4	0.04	17%	14 Aug →
cache	13–9	-0.02	23%	14 Aug →
cache	13–4	0.01	14%	14 Aug →
dust2	13–7	0.01	11%	14 Aug →
inferno	13–5	0.03	17%	14 Aug →
inferno	10–13	0.03	14%	13 Aug →
inferno	14–16	0.00	8%	13 Aug →
inferno	13–8	-0.00	12%	7 Aug →
anubis	13–11	0.01	18%	7 Aug →
cache	15–15	-0.00	25%	5 Aug →
nuke	13–6	0.07	21%	5 Aug →
anubis	13–5	0.03	24%	5 Aug →
inferno	13–5	-0.02	16%	5 Aug →
anubis	3–13	-0.04	25%	4 Aug →
mirage	13–3	0.05	15%	4 Aug →
ancient	11–13	0.01	14%	2 Aug →
inferno	9–13	0.04	17%	1 Aug →
inferno	5–13	-0.02	15%	1 Aug →
inferno	13–11	-0.02	20%	1 Aug →
inferno	3–13	-0.07	19%	1 Aug →
nuke	7–13	-0.05	11%	31 Jul →
nuke	2–13	-0.09	5%	31 Jul →
anubis	6–13	-0.03	12%	31 Jul →
cache	6–13	0.04	14%	31 Jul →
dust2	11–13	-0.00	30%	29 Jul →
anubis	13–9	0.00	10%	29 Jul →
inferno	13–6	-0.04	8%	29 Jul →
ancient	13–8	0.05	15%	28 Jul →
ancient	9–13	-0.06	17%	28 Jul →
dust2	7–13	-0.02	16%	28 Jul →
nuke	7–13	-0.03	13%	24 Jul →
dust2	3–13	0.01	22%	24 Jul →
anubis	16–14	-0.04	18%	24 Jul →
anubis	10–13	-0.06	13%	24 Jul →
inferno	6–13	-0.01	32%	24 Jul →
anubis	11–13	-0.00	11%	24 Jul →
cache	13–8	-0.02	12%	24 Jul →
inferno	13–9	-0.02	26%	23 Jul →
inferno	13–5	0.14	19%	22 Jul →
inferno	15–15	-0.00	18%	13 Jul →
cache	13–7	-0.02	22%	13 Jul →
cache	7–13	-0.03	17%	13 Jul →
inferno	13–5	0.04	28%	13 Jul →
inferno	13–10	-0.04	18%	10 Jul →
anubis	16–13	-0.03	16%	10 Jul →
cache	16–13	0.05	16%	10 Jul →
nuke	11–13	0.01	21%	3 Jul →
inferno	13–11	-0.00	9%	3 Jul →
inferno	2–13	-0.00	15%	3 Jul →
anubis	13–10	0.01	15%	27 Jun →
nuke	15–15	0.00	7%	25 Jun →
overpass	10–13	-0.08	17%	25 Jun →
dust2	16–14	-0.01	17%	20 Jun →
inferno	9–13	-0.01	16%	20 Jun →
dust2	9–13	-0.07	22%	17 Jun →
nuke	13–6	0.12	17%	17 Jun →
nuke	13–11	-0.02	16%	5 Jun →
overpass	13–8	-0.05	16%	5 Jun →
mirage	1–13	-0.10	16%	29 May →
anubis	8–13	-0.01	5%	29 May →
nuke	4–13	-0.03	26%	29 May →
nuke	13–11	0.05	24%	15 May →
inferno	7–13	0.07	10%	15 May →
mirage	2–13	-0.05	13%	15 May →
ancient	13–7	0.07	9%	13 May →
overpass	9–13	-0.08	17%	12 May →
mirage	13–4	-0.03	11%	12 May →
nuke	13–6	0.05	12%	12 May →
dust2	11–13	-0.06	17%	12 May →
cache	13–5	0.05	15%	12 May →
mirage	15–15	0.02	16%	10 May →
anubis	6–13	-0.00	15%	10 May →
ancient	11–13	-0.07	21%	10 May →
dust2	6–13	-0.09	19%	8 May →
anubis	9–13	-0.03	12%	8 May →
overpass	3–13	-0.04	16%	8 May →
nuke	2–13	0.02	21%	8 May →
cache	6–13	0.01	21%	8 May →
cache	4–13	-0.06	21%	8 May →
cache	8–13	0.02	25%	8 May →
inferno	13–10	0.01	19%	7 May →
anubis	13–9	0.03	12%	7 May →
inferno	9–13	-0.01	13%	5 May →
anubis	13–11	-0.01	8%	5 May →
dust2	13–7	-0.03	11%	5 May →
inferno	13–5	0.06	24%	5 May →
ancient	13–4	0.03	23%	5 May →
mirage	0–13	-0.04	50%	5 May →
cache	13–5	0.02	22%	5 May →
nuke	16–12	-0.00	11%	4 May →
cache	13–7	-0.03	13%	4 May →
cache	10–13	0.05	14%	4 May →
dust2	8–13	-0.01	15%	1 May →
nuke	13–5	0.03	27%	1 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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