-_- c1ipѕέ — CS2 Stats

76561197968157055[U:1:7891327]Steam profile ↗✓ No bans

4,112Tracked matches40%Win rate2020Tracked since

CSDB Rating4.9 DevelopingHybrid Rifler

Premier CS Rating15,364Purple band · top ~27% of ranked players (population est.)

CSDB Leaderboard#33954 of 57902 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

15,364Peak Premier on CSDB

1Days observed since 2026-08-30

Premier CS Rating

At peak — 15,364
Next: Pink band at 20,000 — 4,636 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-30
Blue band first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim61

Positioning57

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateWLWWWLWWLL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression7.1

Utility5.8

Positioning5.7

Opening Duels2.6

Clutch0.0

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 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 578ms 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

Aim6.1

Positioning5.7

Utility5.8

Mechanics4.5

Opening Duels2.6

Win Impact1.7

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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time580ms−59ms

first ⅓ avg 639ms → last ⅓ avg 580ms

Headshot accuracy15.3%−1.7%

first ⅓ avg 17.0% → 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

0.19Best rating — ancient 13–3

13–0Biggest win — nuke

5Longest win streak

7–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 60% over 25anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	25	15–10	60%	0.04
inferno	D	25	8–17	32%	0.02
ancient	B	21	11–10	52%	0.03
dust2	B	13	6–7	46%	0.01
cache	C	10	4–6	40%	0.01
anubis	D	6	1–5	17%	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.

Faceit stats

Combat

155Matches

48%Win rate

1.07Avg K/D

70.5ADR

39%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	18	67%	1.12	16.8
Vertigo	14	57%	1.02	17.0
Ancient	13	31%	0.97	15.4
Inferno	11	36%	1.05	15.6
Mirage	5	60%	0.89	15.8
Dust2	2	50%	0.73	11.0

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

39.2%Accuracy (enemy spotted)

49.3%Spray accuracy

70.1%Counter-strafing

14.5°Preaim

578msReaction time

44.4%T opening success

36.4%CT opening success

0.61Enemies flashed / flash

6.0%Flash assists

9.27HE damage / grenade

6.42Flashes / 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 14.4803° — above the 12° mark we flag
Aim Training →

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
ancient	13–10	0.05	19%	30 Aug →
nuke	10–13	0.01	16%	30 Aug →
dust2	13–4	0.04	17%	30 Aug →
dust2	13–8	0.00	15%	30 Aug →
cache	13–9	0.03	14%	30 Aug →
inferno	10–13	0.07	18%	29 Aug →
inferno	13–7	-0.04	22%	29 Aug →
nuke	16–14	0.04	16%	25 Aug →
nuke	11–13	0.02	17%	25 Aug →
inferno	8–13	0.10	15%	24 Aug →
cache	12–16	0.06	12%	23 Aug →
ancient	6–13	0.00	12%	23 Aug →
nuke	10–13	-0.01	13%	23 Aug →
ancient	5–13	-0.02	11%	23 Aug →
dust2	8–13	-0.00	9%	23 Aug →
inferno	13–2	0.03	16%	23 Aug →
nuke	13–5	0.03	13%	23 Aug →
ancient	10–13	0.05	19%	23 Aug →
cache	12–16	-0.00	14%	23 Aug →
ancient	8–13	0.02	13%	23 Aug →
nuke	13–7	0.08	8%	21 Aug →
dust2	13–3	0.05	24%	21 Aug →
inferno	6–13	-0.05	22%	21 Aug →
ancient	8–13	0.05	11%	19 Aug →
inferno	16–12	0.02	20%	19 Aug →
inferno	5–13	-0.02	21%	18 Aug →
nuke	9–13	-0.02	12%	17 Aug →
inferno	7–13	-0.04	14%	17 Aug →
inferno	2–13	-0.02	21%	16 Aug →
nuke	13–9	-0.02	7%	16 Aug →
ancient	13–4	-0.01	13%	15 Aug →
nuke	13–4	0.08	14%	15 Aug →
inferno	5–13	0.07	17%	15 Aug →
nuke	13–11	0.03	17%	15 Aug →
nuke	5–13	-0.01	13%	15 Aug →
ancient	13–3	0.19	13%	15 Aug →
dust2	13–9	0.03	16%	15 Aug →
dust2	11–13	-0.03	11%	13 Aug →
nuke	7–13	0.00	11%	13 Aug →
ancient	13–9	0.03	13%	12 Aug →
nuke	7–0	0.15	7%	12 Aug →
nuke	6–0	0.00	20%	12 Aug →
ancient	13–5	0.01	17%	10 Aug →
inferno	16–13	-0.04	14%	10 Aug →
cache	4–13	0.01	14%	9 Aug →
ancient	9–13	0.01	17%	9 Aug →
nuke	13–7	0.02	16%	9 Aug →
dust2	9–13	0.00	16%	9 Aug →
ancient	13–9	0.03	20%	9 Aug →
cache	13–4	0.02	25%	9 Aug →
inferno	10–13	-0.03	14%	9 Aug →
nuke	9–13	0.02	11%	9 Aug →
anubis	5–13	0.04	11%	9 Aug →
inferno	13–9	0.07	18%	9 Aug →
inferno	8–13	0.04	20%	7 Aug →
inferno	8–11	0.04	15%	6 Aug →
ancient	14–16	0.00	13%	6 Aug →
inferno	8–13	0.03	13%	6 Aug →
dust2	10–13	0.06	19%	5 Aug →
anubis	3–13	-0.02	12%	5 Aug →
dust2	13–5	0.01	21%	5 Aug →
inferno	4–13	-0.01	30%	5 Aug →
inferno	7–13	0.01	15%	5 Aug →
cache	10–13	0.05	19%	4 Aug →
ancient	8–13	-0.05	12%	2 Aug →
cache	13–5	0.02	10%	2 Aug →
inferno	16–14	0.02	18%	2 Aug →
inferno	11–13	-0.00	19%	28 Jul →
inferno	13–11	0.07	21%	27 Jul →
nuke	13–10	0.04	14%	27 Jul →
inferno	13–7	0.06	31%	19 Jul →
cache	7–13	-0.05	14%	19 Jul →
inferno	2–13	-0.04	17%	19 Jul →
ancient	13–4	0.10	19%	18 Jul →
nuke	11–13	-0.03	20%	18 Jul →
nuke	13–0	0.17	16%	18 Jul →
ancient	9–13	-0.00	14%	18 Jul →
ancient	15–15	0.06	16%	18 Jul →
nuke	13–11	0.04	13%	18 Jul →
ancient	13–11	0.08	12%	18 Jul →
ancient	13–2	0.01	24%	16 Jul →
dust2	8–13	-0.01	16%	16 Jul →
anubis	12–16	0.07	19%	14 Jul →
inferno	8–13	0.10	18%	14 Jul →
anubis	3–13	-0.03	27%	13 Jul →
anubis	13–11	0.08	21%	13 Jul →
cache	13–8	-0.00	16%	12 Jul →
inferno	12–16	0.08	16%	12 Jul →
cache	8–13	0.00	15%	11 Jul →
dust2	13–8	-0.01	11%	11 Jul →
ancient	13–7	0.05	16%	11 Jul →
anubis	3–13	-0.09	0%	11 Jul →
nuke	13–8	-0.00	17%	9 Jul →
ancient	13–9	0.03	8%	9 Jul →
dust2	13–16	-0.01	14%	9 Jul →
nuke	10–13	0.07	20%	8 Jul →
nuke	13–6	0.14	24%	7 Jul →
nuke	13–8	0.06	19%	7 Jul →
nuke	10–13	0.14	22%	7 Jul →
dust2	11–13	-0.01	15%	5 Jul →