CurvedEagle — CS2 Stats

76561198272085309[U:1:311819581]

434Tracked matches37%Win rate2023Tracked since

628Hours in CS9Hrs last 2 wks

CSDB Rating3.5 LearningClutch Specialist

Premier CS Rating19,895Purple band · top ~8.9% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	46.3%	44.1%	47.2%	meets
Shot accuracy	4.3%	11.4%	12.7%	8.5% short
Kill/death ratio	0.89	1.03	1.09	0.20 short
Match win rate	45.0%	45.2%	46.6%	1.6% short

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

Widest gap: Shot accuracy. 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

Aim42

Positioning43

Utility39

0–100 skill scores via Leetify.

Recent form

COLD40–52–8Last 10040%Win rateLWLLLTLWLL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.2

Aggression2.1

Utility3.9

Positioning4.3

Opening Duels0.0

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 72% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 611ms 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

Aim4.2

Positioning4.3

Utility3.9

Mechanics4.7

Opening Duels0.0

Win Impact0.7

Composite 3.5/10 (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-0.01−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time609ms−2ms

first ⅓ avg 611ms → last ⅓ avg 609ms

Headshot accuracy15.5%+0.3%

first ⅓ avg 15.2% → last ⅓ avg 15.5%

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

0.13Best rating — anubis 13–7

13–0Biggest win — inferno

5Longest win streak

6–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 63% over 8cacheWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	20	7–13	35%	-0.03
inferno	B	20	10–10	50%	0.00
cache	D	15	3–12	20%	-0.02
ancient	B	14	7–7	50%	-0.01
mirage	C	11	4–7	36%	-0.02
nuke	C	9	4–5	44%	-0.02
anubis	A	8	5–3	63%	0.01
vertigo	—	2	0–2	0%	0.00
train	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Lifetime stats

9,368Lifetime kills

0.89K/D

793Matches

45.0%Match win rate

46.3%Headshot % · Top 50% of Purple band

4.3%Shot accuracy

1,333MVPs

261Hours (in match)

502Bombs planted

110Bombs defused

Most-used weapons

AK-473,310

M4A4 / M4A1-S2,165

P2000 / USP-S561

Desert Eagle452

MP7371

Glock-18345

MP9302

Galil AR300

MAC-10240

AWP213

Lifetime map wins

1,179dust2

1,057inferno

611nuke

178office

173vertigo

77italy

60assault

29train

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

Faceit stats

Combat

5Matches

80%Win rate

1.29Avg K/D

85.8ADR

35%Headshot %

Clutches & streaks

75%1v1 clutch win

50%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	0.69	8.5
Dust2	2	100%	1.92	20.5
Inferno	1	100%	1.25	15.0

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.

15.7%Headshot accuracy

32.6%Accuracy (enemy spotted)

33.9%Spray accuracy

71.2%Counter-strafing

13.1°Preaim

611msReaction time

23.4%T opening success

28.6%CT opening success

0.49Enemies flashed / flash

7.3%Flash assists

9.00HE damage / grenade

3.33Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.0575° — above the 12° 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 0.489 — below the 0.5 mark we flag
Grenade Lineups →

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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	6–13	-0.12	7%	27 Aug →
dust2	13–7	0.02	12%	27 Aug →
inferno	3–9	-0.04	16%	21 Aug →
inferno	4–9	-0.10	10%	21 Aug →
dust2	11–13	0.06	13%	21 Aug →
dust2	12–12	0.01	20%	21 Aug →
cache	5–13	-0.05	9%	21 Aug →
inferno	13–0	0.05	13%	21 Aug →
mirage	8–13	-0.06	21%	19 Aug →
dust2	3–13	-0.06	17%	19 Aug →
cache	11–13	-0.01	17%	17 Aug →
ancient	8–13	0.00	15%	17 Aug →
anubis	11–13	0.01	18%	17 Aug →
ancient	6–13	-0.01	10%	17 Aug →
ancient	11–13	0.01	12%	16 Aug →
anubis	16–14	0.01	18%	7 Aug →
inferno	15–15	0.00	12%	3 Aug →
mirage	13–6	0.00	22%	3 Aug →
dust2	13–10	-0.03	13%	3 Aug →
dust2	3–13	-0.06	23%	2 Aug →
dust2	13–9	-0.02	17%	2 Aug →
anubis	2–13	-0.06	12%	2 Aug →
inferno	12–12	0.02	14%	2 Aug →
inferno	13–5	0.01	15%	2 Aug →
dust2	6–13	-0.04	13%	28 Jul →
inferno	9–13	0.04	18%	28 Jul →
dust2	10–13	-0.02	15%	28 Jul →
cache	8–13	-0.01	18%	28 Jul →
dust2	9–13	-0.04	20%	27 Jul →
inferno	13–8	-0.06	9%	27 Jul →
inferno	13–7	-0.00	22%	26 Jul →
nuke	13–10	0.04	25%	26 Jul →
ancient	8–13	0.06	15%	26 Jul →
inferno	13–10	0.00	18%	25 Jul →
dust2	13–5	-0.05	13%	24 Jul →
anubis	13–11	-0.05	13%	24 Jul →
mirage	13–3	0.03	11%	22 Jul →
ancient	13–2	0.01	4%	22 Jul →
anubis	10–13	-0.00	11%	22 Jul →
dust2	13–7	-0.03	9%	12 Jul →
dust2	0–13	-0.06	9%	12 Jul →
nuke	3–13	-0.03	14%	12 Jul →
dust2	13–7	-0.01	23%	12 Jul →
ancient	13–9	0.02	16%	12 Jul →
cache	4–13	-0.02	18%	12 Jul →
anubis	13–7	0.13	19%	12 Jul →
ancient	13–8	-0.01	12%	9 Jul →
cache	8–13	0.00	18%	9 Jul →
dust2	12–12	-0.03	13%	8 Jul →
inferno	13–4	0.08	14%	8 Jul →
cache	12–12	-0.00	22%	7 Jul →
nuke	7–13	-0.01	24%	7 Jul →
cache	12–12	0.02	18%	5 Jul →
vertigo	10–13	0.00	16%	5 Jul →
cache	13–2	0.03	14%	5 Jul →
dust2	3–13	-0.09	7%	4 Jul →
cache	0–13	-0.06	33%	2 Jul →
dust2	6–13	-0.03	5%	2 Jul →
cache	1–13	-0.07	7%	2 Jul →
ancient	7–13	0.01	13%	2 Jul →
mirage	10–13	-0.07	12%	30 Jun →
nuke	13–10	-0.01	14%	29 Jun →
inferno	13–4	0.01	11%	29 Jun →
inferno	8–13	-0.01	3%	28 Jun →
cache	13–7	-0.03	7%	28 Jun →
mirage	0–13	-0.06	19%	28 Jun →
inferno	4–13	-0.04	18%	28 Jun →
ancient	7–13	-0.03	18%	28 Jun →
nuke	13–7	-0.02	20%	28 Jun →
inferno	8–13	-0.06	14%	25 Jun →
nuke	10–13	-0.04	14%	25 Jun →
mirage	13–11	0.01	16%	25 Jun →
cache	9–13	-0.06	25%	24 Jun →
ancient	13–7	-0.02	15%	24 Jun →
ancient	13–4	0.05	14%	24 Jun →
mirage	7–13	0.01	19%	24 Jun →
mirage	13–11	-0.06	8%	24 Jun →
anubis	13–5	0.03	8%	24 Jun →
nuke	4–13	-0.01	7%	24 Jun →
mirage	8–13	-0.06	9%	22 Jun →
dust2	12–12	-0.02	21%	22 Jun →
mirage	8–13	0.00	19%	21 Jun →
inferno	10–4	0.10	11%	21 Jun →
train	2–13	-0.02	17%	21 Jun →
anubis	13–9	0.06	24%	21 Jun →
vertigo	11–13	0.00	15%	21 Jun →
cache	11–13	-0.01	15%	21 Jun →
mirage	11–13	-0.00	14%	21 Jun →
nuke	10–13	-0.10	19%	20 Jun →
cache	6–9	-0.08	15%	20 Jun →
inferno	9–13	-0.00	20%	20 Jun →
ancient	13–5	-0.04	7%	20 Jun →
dust2	13–11	0.01	17%	20 Jun →
dust2	12–12	-0.02	21%	20 Jun →
inferno	16–14	0.00	13%	20 Jun →
nuke	13–6	-0.01	7%	20 Jun →
ancient	13–10	-0.03	11%	20 Jun →
inferno	13–10	0.05	18%	19 Jun →
inferno	11–13	0.03	16%	17 Jun →
cache	13–8	0.03	16%	17 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

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

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