Peregrine || Borefa1k — CS2 Stats

76561199070346946[U:1:1110081218]

647Tracked matches61%Win rate2020Tracked since

1,408Hours in CS7Hrs last 2 wks

CSDB Rating5.0 Developing

Premier CS Rating18,213Purple band · top ~15.6% 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=5,002), 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	37.4%	44.2%	47.1%	9.6% short
Shot accuracy	11.6%	11.6%	12.8%	1.3% short
Kill/death ratio	1.14	1.03	1.08	above
Match win rate	48.6%	45.2%	46.6%	above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot 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.

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

Aim56

Positioning42

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWWWLWLLLWW

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Aim5.6

Aggression4.1

Utility4.8

Positioning4.2

Opening Duels0.5

Clutch0.4

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 NiKo 78% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 558ms 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

Aim5.6

Positioning4.2

Utility4.8

Mechanics5.3

Opening Duels1.0

Win Impact8.6

Composite 5.0/10 (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 rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time562ms−59ms

first ⅓ avg 621ms → last ⅓ avg 562ms

Headshot accuracy13.9%+2.7%

first ⅓ avg 11.2% → last ⅓ avg 13.9%

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

0.19Best rating — dust2 13–7

13–0Biggest win — nuke

6Longest win streak

W3Current streak

7–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 71% over 17anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	13–10	57%	0.00
nuke	S	17	12–5	71%	0.04
ancient	C	17	6–11	35%	0.01
cache	B	15	7–8	47%	0.00
inferno	B	13	7–6	54%	0.01
dust2	C	7	3–4	43%	0.01
anubis	D	6	1–5	17%	-0.01
vertigo	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,994Lifetime kills

1.14K/D · Top 50% of Purple band

2,059Matches

48.6%Match win rate · Top 25% of Purple band

37.4%Headshot %

11.6%Shot accuracy

5,346MVPs

758Hours (in match)

2,185Bombs planted

812Bombs defused

Most-used weapons

AK-4711,776

M4A4 / M4A1-S6,975

AWP3,946

P2000 / USP-S2,117

Desert Eagle1,772

Glock-181,518

XM10141,379

Galil AR1,150

MP91,070

AUG973

Lifetime map wins

3,403inferno

2,365nuke

1,908vertigo

1,762dust2

750train

78lake

71office

53cbble

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

Faceit stats

Combat

58Matches

53%Win rate

0.97Avg K/D

73.3ADR

39%Headshot %

Clutches & streaks

22%1v1 clutch win

25%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	11	82%	1.15	14.6
Mirage	10	70%	0.92	14.1
Anubis	10	60%	0.94	14.2
Inferno	6	0%	0.78	13.5
Dust2	4	25%	0.79	15.5
Cache	4	50%	0.79	11.3
Ancient	3	67%	0.93	15.7
Overpass	3	67%	1.22	18.0

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.

14.0%Headshot accuracy

34.4%Accuracy (enemy spotted)

33.8%Spray accuracy

73.7%Counter-strafing

10.9°Preaim

558msReaction time

26.2%T opening success

37.9%CT opening success

0.51Enemies flashed / flash

5.4%Flash assists

8.26HE damage / grenade

8.83Flashes / 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.

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 14.0467% — below the 15% mark we flag
Aim Training →
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 26.2337% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–5	0.12	13%	23 Aug →
inferno	13–2	0.08	16%	23 Aug →
mirage	13–6	0.13	11%	23 Aug →
inferno	5–13	0.02	13%	23 Aug →
mirage	13–6	-0.03	18%	20 Aug →
mirage	6–13	-0.07	15%	20 Aug →
mirage	5–13	0.01	8%	18 Aug →
cache	4–13	-0.02	21%	17 Aug →
nuke	13–11	0.01	15%	17 Aug →
mirage	13–3	0.08	15%	17 Aug →
inferno	13–5	0.03	6%	17 Aug →
mirage	13–2	0.12	24%	16 Aug →
cache	16–12	-0.01	13%	16 Aug →
mirage	13–6	-0.06	3%	14 Aug →
mirage	8–13	-0.05	15%	13 Aug →
nuke	13–9	-0.01	10%	13 Aug →
nuke	13–10	0.03	9%	13 Aug →
cache	13–5	-0.04	28%	12 Aug →
vertigo	12–12	0.03	20%	12 Aug →
mirage	10–13	0.02	4%	12 Aug →
ancient	11–13	-0.02	21%	5 Aug →
ancient	15–15	-0.01	10%	2 Aug →
nuke	13–6	0.02	16%	2 Aug →
inferno	6–13	-0.07	19%	2 Aug →
ancient	7–13	-0.01	24%	1 Aug →
inferno	13–5	0.14	16%	1 Aug →
mirage	11–13	0.01	22%	28 Jul →
dust2	4–13	-0.01	6%	28 Jul →
mirage	13–9	0.08	7%	28 Jul →
nuke	13–8	0.03	10%	28 Jul →
inferno	13–11	0.02	14%	26 Jul →
ancient	16–13	-0.07	5%	25 Jul →
cache	6–13	0.02	16%	25 Jul →
ancient	13–3	0.05	12%	24 Jul →
nuke	16–13	0.02	16%	22 Jul →
nuke	11–13	0.03	16%	22 Jul →
mirage	13–2	-0.02	0%	22 Jul →
ancient	14–16	-0.01	18%	22 Jul →
cache	13–8	-0.01	19%	22 Jul →
inferno	13–2	0.01	14%	22 Jul →
cache	6–13	0.01	12%	22 Jul →
inferno	1–12	-0.01	0%	21 Jul →
dust2	2–13	-0.12	14%	21 Jul →
ancient	13–10	0.01	9%	21 Jul →
cache	13–16	-0.02	19%	21 Jul →
nuke	8–13	-0.01	14%	21 Jul →
ancient	13–8	0.01	14%	21 Jul →
ancient	6–13	0.07	13%	19 Jul →
nuke	13–11	-0.01	5%	19 Jul →
nuke	4–13	-0.02	10%	16 Jul →
ancient	12–16	0.03	12%	16 Jul →
cache	13–8	0.01	17%	16 Jul →
mirage	13–5	-0.02	15%	16 Jul →
mirage	13–9	0.01	6%	16 Jul →
nuke	11–13	-0.01	16%	16 Jul →
ancient	2–8	0.08	10%	16 Jul →
mirage	13–9	-0.11	10%	15 Jul →
ancient	10–13	-0.01	9%	15 Jul →
mirage	6–13	-0.11	4%	15 Jul →
inferno	7–13	0.08	10%	15 Jul →
ancient	11–13	-0.01	15%	15 Jul →
cache	7–13	0.08	14%	15 Jul →
inferno	13–6	-0.02	17%	15 Jul →
ancient	9–13	0.02	23%	15 Jul →
nuke	16–13	0.12	16%	15 Jul →
ancient	11–13	-0.01	18%	15 Jul →
dust2	13–9	-0.05	12%	15 Jul →
anubis	7–13	-0.02	7%	15 Jul →
cache	8–13	-0.02	7%	15 Jul →
mirage	16–14	0.02	8%	15 Jul →
nuke	13–9	0.09	18%	14 Jul →
inferno	13–9	-0.02	10%	14 Jul →
inferno	11–13	-0.06	8%	14 Jul →
dust2	1–13	-0.06	14%	14 Jul →
anubis	13–11	0.00	14%	14 Jul →
mirage	2–13	-0.10	3%	13 Jul →
anubis	8–13	0.02	10%	13 Jul →
mirage	13–11	-0.06	10%	13 Jul →
cache	2–13	-0.02	6%	13 Jul →
ancient	12–5	0.04	8%	13 Jul →
nuke	16–13	0.00	11%	12 Jul →
cache	13–2	0.02	11%	12 Jul →
nuke	13–6	0.08	8%	12 Jul →
cache	12–16	0.02	7%	12 Jul →
cache	13–11	0.02	12%	12 Jul →
cache	13–9	-0.01	11%	9 Jul →
vertigo	12–12	-0.04	13%	7 Jul →
nuke	13–0	0.16	9%	30 Jun →
dust2	13–7	0.19	18%	30 Jun →
nuke	10–13	0.06	24%	30 Jun →
inferno	1–13	-0.03	5%	29 Jun →
mirage	9–13	0.07	15%	29 Jun →
mirage	3–13	0.01	8%	29 Jun →
ancient	13–10	-0.06	7%	29 Jun →
mirage	13–6	0.07	22%	29 Jun →
anubis	4–13	-0.01	12%	28 Jun →
dust2	11–13	0.02	14%	28 Jun →
anubis	5–13	-0.02	17%	28 Jun →
anubis	1–8	-0.03	11%	28 Jun →
mirage	10–13	0.09	12%	27 Jun →