Peekske — CS2 Stats

76561199197976294[U:1:1237710566]

5,376Tracked matches57%Win rate2022Tracked since

CSDB Rating6.1 SolidAggressive Rifler

FaceitLevel 10 · 2,211 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning53

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateWLWWLLWLLL

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression7.1

Utility4.3

Positioning5.3

Opening Duels2.7

Clutch3.4

Limited utility dependence

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 ropz 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 556ms 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

Aim7.9

Positioning5.3

Utility4.3

Mechanics7.2

Opening Duels2.7

Win Impact7.2

Composite 6.1/10 (Solid), 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-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time551ms−17ms

first ⅓ avg 568ms → last ⅓ avg 551ms

Headshot accuracy22.1%−1.5%

first ⅓ avg 23.6% → last ⅓ avg 22.1%

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 — ancient 16–14

13–1Biggest win — inferno

6Longest win streak

14–5In matches decided by ≤2 rounds

15Overtime games

Map breakdown

cacheBest map · 78% over 9nukeWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	9–10	47%	-0.01
dust2	A	19	11–8	58%	-0.00
ancient	B	18	9–9	50%	0.00
anubis	A	12	7–5	58%	0.01
nuke	B	11	5–6	45%	-0.00
cache	S	9	7–2	78%	-0.02
inferno	S	7	5–2	71%	0.01
overpass	—	4	3–1	75%	-0.02
vertigo	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,651Matches

50%Win rate

0.97Avg K/D

78.4ADR

52%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	940	49%	0.96	15.4
Ancient	602	53%	1.01	16.0
Anubis	497	52%	1.00	15.6
Dust2	402	47%	0.95	15.6
Inferno	385	54%	0.95	14.7
Nuke	350	52%	0.99	15.7
Vertigo	124	51%	0.94	15.2
Overpass	122	42%	0.91	14.4

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.

21.5%Headshot accuracy

35.3%Accuracy (enemy spotted)

39.2%Spray accuracy

82.6%Counter-strafing

10.2°Preaim

556msReaction time

38.8%T opening success

42.9%CT opening success

0.54Enemies flashed / flash

4.1%Flash assists

6.23HE damage / grenade

4.11Flashes / 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 38.8127% — below the 40% mark we flag

Spend your practice time on Nuke

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	0.03	20%	22 Aug →
cache	8–13	-0.03	16%	19 Aug →
cache	13–10	-0.04	18%	17 Aug →
inferno	16–13	-0.00	22%	17 Aug →
nuke	5–13	0.00	44%	14 Aug →
mirage	3–13	-0.00	15%	13 Aug →
nuke	13–11	0.06	30%	6 Aug →
dust2	7–13	-0.03	22%	2 Aug →
mirage	7–13	-0.03	24%	30 Jul →
anubis	9–13	-0.01	28%	30 Jul →
ancient	13–6	-0.03	31%	28 Jul →
nuke	13–11	-0.05	17%	28 Jul →
dust2	10–13	-0.04	27%	27 Jul →
mirage	7–13	-0.09	14%	27 Jul →
ancient	13–9	-0.00	21%	27 Jul →
ancient	13–9	0.01	16%	24 Jul →
ancient	4–13	-0.07	20%	22 Jul →
cache	10–13	-0.04	22%	22 Jul →
cache	13–7	0.00	26%	22 Jul →
dust2	13–2	-0.04	12%	21 Jul →
nuke	14–16	-0.10	21%	20 Jul →
ancient	12–16	-0.04	18%	18 Jul →
mirage	13–10	0.02	16%	16 Jul →
mirage	16–14	-0.01	24%	16 Jul →
anubis	16–14	0.01	18%	16 Jul →
anubis	13–2	-0.00	18%	15 Jul →
anubis	13–8	0.04	23%	15 Jul →
dust2	13–6	0.11	22%	15 Jul →
dust2	9–13	0.01	28%	14 Jul →
ancient	13–10	-0.00	13%	10 Jul →
ancient	7–13	-0.04	24%	9 Jul →
ancient	11–13	-0.01	33%	8 Jul →
dust2	16–14	-0.02	26%	8 Jul →
cache	13–8	-0.06	6%	8 Jul →
anubis	9–13	0.01	22%	6 Jul →
cache	13–7	-0.07	23%	5 Jul →
dust2	9–13	-0.00	21%	5 Jul →
ancient	10–13	0.01	20%	5 Jul →
dust2	13–6	0.02	22%	5 Jul →
nuke	13–7	0.10	28%	5 Jul →
ancient	5–13	-0.04	20%	5 Jul →
inferno	13–1	-0.01	24%	5 Jul →
dust2	22–19	0.03	26%	4 Jul →
anubis	3–13	0.00	0%	4 Jul →
vertigo	0–13	-0.03	29%	3 Jul →
inferno	10–13	-0.04	13%	3 Jul →
overpass	16–13	-0.06	17%	1 Jul →
cache	13–6	0.01	32%	1 Jul →
dust2	13–1	-0.01	30%	1 Jul →
ancient	13–9	0.04	36%	28 Jun →
inferno	13–9	0.03	23%	28 Jun →
dust2	16–14	0.04	15%	27 Jun →
dust2	8–13	-0.00	19%	26 Jun →
dust2	19–17	-0.01	26%	25 Jun →
dust2	7–13	-0.09	23%	25 Jun →
anubis	13–5	0.06	27%	24 Jun →
ancient	10–13	-0.03	18%	24 Jun →
anubis	13–8	-0.01	19%	24 Jun →
ancient	16–14	0.12	30%	23 Jun →
anubis	7–13	-0.03	16%	22 Jun →
mirage	13–11	-0.01	15%	22 Jun →
inferno	6–13	0.02	19%	21 Jun →
overpass	13–6	0.02	17%	21 Jun →
mirage	16–13	0.02	24%	19 Jun →
nuke	13–9	0.02	26%	14 Jun →
mirage	10–13	-0.03	17%	13 Jun →
ancient	10–13	-0.01	20%	12 Jun →
anubis	13–4	0.04	32%	5 Jun →
dust2	13–11	0.04	34%	1 Jun →
dust2	13–10	0.02	21%	27 May →
mirage	7–13	-0.07	12%	26 May →
mirage	9–13	-0.02	32%	25 May →
ancient	13–9	0.05	26%	25 May →
nuke	10–13	0.01	21%	24 May →
cache	13–11	-0.03	21%	24 May →
dust2	13–11	0.00	22%	24 May →
mirage	10–13	-0.08	17%	24 May →
mirage	2–13	-0.01	21%	23 May →
overpass	13–3	-0.03	19%	23 May →
nuke	8–13	-0.01	21%	23 May →
dust2	11–13	-0.04	17%	23 May →
inferno	13–4	0.01	32%	23 May →
dust2	4–13	-0.00	33%	22 May →
nuke	1–13	-0.10	6%	22 May →
mirage	22–18	0.02	24%	22 May →
mirage	5–13	-0.02	25%	21 May →
ancient	13–11	0.04	28%	21 May →
cache	13–9	0.04	36%	20 May →
inferno	13–4	0.08	30%	20 May →
mirage	14–16	-0.01	18%	19 May →
mirage	13–8	-0.04	14%	19 May →
ancient	13–3	0.04	28%	19 May →
mirage	13–1	0.08	24%	18 May →
overpass	13–16	0.01	20%	18 May →
nuke	13–5	0.04	33%	18 May →
ancient	4–13	0.01	14%	17 May →
mirage	13–8	0.03	27%	17 May →
anubis	6–13	-0.05	23%	17 May →
nuke	11–13	0.03	25%	17 May →
anubis	13–5	0.04	20%	15 May →