🗿⃤⃢🍷 PulliS — CS2 Stats

FI76561198028661859[U:1:68396131]Steam profile ↗✓ No bans

4,394Tracked matches48%Win rate2020Tracked since

6,161Hours in CS43Hrs last 2 wks

CSDB Rating5.7 SolidSupport

Premier CS Rating24,765Top 25% of 213,211 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)

CSDB Leaderboard#25619 of 259894 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,765 +1,953 9 Sept – 3 Nov · 31 days played

Faceit ELO: 2,086 +0 9 Sept – 23 Sept · 7 observations

25,108Peak Premier in tracked matches

2,086Highest Faceit ELO seen on CSDB

26Days played since 2026-09-09

Faceit ELO

At peak — 2,086
Next: 2,500 ELO at 2,500 — 414 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-09
Level 9 first seen 2026-09-09

Premier CS Rating

234 below peak (24,999)
+2,023 over 30 days · improving
Next: Red band at 25,000 — 235 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-09
Purple band first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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	Red band median	vs Red band
Headshot rate	36.3%	46.9%	49.3%	13.0% short
Shot accuracy	12.8%	13.0%	13.4%	0.5% short
Kill/death ratio	0.91	1.08	1.12	0.21 short
Match win rate	48.5%	46.7%	48.5%	meets

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

Widest gap: Headshot rate. That is the metric furthest from the Red 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

Aim62

Positioning56

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLWLWWWLWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +2.6pp headshot accuracy · +88ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.04
Avg headshot accuracy 16%
Avg reaction 605ms

Last 10

5–5 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 628ms

Last 20

8–11–1 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 15%
Avg reaction 583ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim6.2

Utility5.6

Positioning5.6

Opening Duels1.8

Clutch4.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like iM 81% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 54% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim6.2

Positioning5.6

Utility5.6

Mechanics5.8

Opening Duels4.1

Win Impact4.4

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time582ms+12ms

first ⅓ avg 570ms → last ⅓ avg 582ms

Headshot accuracy14.3%−2.7%

first ⅓ avg 17.0% → last ⅓ avg 14.3%

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.

Personal bests

0.23Best match rating · 4–5 · mirage, 4 Oct →

50%Best headshot accuracy · 1–1 · inferno, 21 Oct →

297msFastest reaction time · 1–13 · cache, 31 Oct →

13–1Biggest win · ancient, 20 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

7–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 80% over 15dust2Weakest map · 17% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	23	4–19	17%	-0.03
inferno	A	20	11–9	55%	0.02
nuke	S	15	12–3	80%	0.01
mirage	A	14	8–6	57%	0.01
anubis	D	9	3–6	33%	-0.03
ancient	S	9	6–3	67%	0.00
cache	A	7	4–3	57%	-0.02
overpass	—	2	2–0	100%	0.11
office	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

133,672Lifetime kills

0.91K/D

7,686Matches

48.5%Match win rate · Top 50% of Pink band

36.3%Headshot %

12.8%Shot accuracy

18,072MVPs

3,553Hours (in match)

8,735Bombs planted

1,569Bombs defused

Most-used weapons

AK-4740,818

M4A4 / M4A1-S23,214

AWP14,908

Desert Eagle8,179

P2000 / USP-S6,465

Glock-185,954

MP93,086

MAC-102,813

Galil AR2,791

P2502,662

Lifetime map wins

22,413inferno

12,133nuke

5,093dust2

4,265train

3,832vertigo

948cbble

432office

144lake

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

Faceit stats

Combat

707Matches

55%Win rate

1.04Avg K/D

80.5ADR

37%Headshot %

Clutches & streaks

42%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	87	67%	1.10	15.8
Nuke	78	63%	1.07	15.7
Ancient	57	47%	0.98	15.4
Dust2	48	48%	1.03	15.2
Anubis	32	41%	0.97	15.2
Overpass	24	75%	1.26	16.0
Train	20	50%	0.93	14.9
Vertigo	13	38%	1.02	14.1

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.

13.9%Headshot accuracy

36.4%Accuracy (enemy spotted)

39.3%Spray accuracy

75.9%Counter-strafing

11.3°Preaim

581msReaction time

53.9%T opening success

38.8%CT opening success

0.57Enemies flashed / flash

6.3%Flash assists

10.08HE damage / grenade

6.72Flashes / 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 13.8918% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.7696% — below the 40% mark we flag

Spend your practice time on Dust 2

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 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	1–13	-0.06	36%	3 Nov →
cache	13–8	-0.03	13%	3 Nov →
dust2	9–13	-0.05	3%	3 Nov →
inferno	13–9	-0.02	18%	3 Nov →
anubis	13–6	-0.03	9%	2 Nov →
overpass	13–11	0.16	22%	2 Nov →
ancient	10–13	-0.04	11%	1 Nov →
ancient	13–8	-0.01	14%	1 Nov →
dust2	2–13	-0.09	24%	1 Nov →
dust2	8–13	-0.04	16%	1 Nov →
inferno	13–9	0.00	13%	1 Nov →
dust2	3–13	-0.07	14%	1 Nov →
mirage	8–13	-0.01	9%	31 Oct →
dust2	5–13	-0.02	18%	31 Oct →
ancient	13–10	0.01	8%	31 Oct →
cache	1–13	-0.12	18%	31 Oct →
inferno	11–13	0.00	13%	30 Oct →
anubis	15–15	0.04	8%	30 Oct →
inferno	13–7	0.11	17%	30 Oct →
dust2	9–13	-0.05	21%	30 Oct →
inferno	14–16	-0.04	10%	29 Oct →
inferno	13–4	0.01	18%	29 Oct →
inferno	3–13	0.01	9%	28 Oct →
mirage	6–13	-0.07	2%	28 Oct →
mirage	13–2	-0.00	9%	28 Oct →
mirage	13–5	-0.02	16%	27 Oct →
dust2	13–6	-0.06	19%	27 Oct →
nuke	9–13	-0.07	4%	27 Oct →
mirage	13–6	0.01	21%	27 Oct →
ancient	13–7	-0.03	19%	27 Oct →
dust2	9–13	-0.08	15%	27 Oct →
cache	13–11	-0.04	16%	26 Oct →
mirage	9–13	-0.04	8%	25 Oct →
dust2	6–13	-0.04	17%	25 Oct →
inferno	13–8	0.08	31%	25 Oct →
ancient	13–7	0.05	4%	24 Oct →
nuke	13–11	-0.00	21%	24 Oct →
dust2	15–15	-0.07	2%	24 Oct →
inferno	6–13	-0.03	44%	24 Oct →
inferno	11–13	0.03	11%	24 Oct →
nuke	13–4	0.03	16%	24 Oct →
inferno	8–8	0.04	28%	24 Oct →
nuke	13–9	0.03	18%	23 Oct →
anubis	13–10	-0.07	14%	23 Oct →
inferno	13–11	-0.02	8%	23 Oct →
inferno	13–6	0.04	19%	23 Oct →
anubis	10–13	0.03	10%	23 Oct →
dust2	13–6	-0.00	26%	23 Oct →
nuke	13–7	-0.01	17%	23 Oct →
dust2	8–13	0.01	13%	22 Oct →
anubis	14–16	-0.00	4%	22 Oct →
ancient	11–13	-0.03	17%	22 Oct →
inferno	1–1	-0.04	50%	21 Oct →
anubis	5–13	-0.08	24%	21 Oct →
nuke	13–8	0.07	15%	21 Oct →
mirage	10–13	-0.01	9%	21 Oct →
ancient	13–1	0.06	24%	20 Oct →
mirage	13–3	0.08	25%	20 Oct →
anubis	11–13	-0.05	2%	20 Oct →
nuke	16–12	0.02	5%	20 Oct →
office	9–13	0.01	9%	20 Oct →
mirage	16–14	0.01	16%	19 Oct →
mirage	13–8	-0.02	11%	19 Oct →
inferno	13–7	0.05	7%	18 Oct →
dust2	16–14	0.02	12%	18 Oct →
cache	7–13	0.03	14%	18 Oct →
nuke	16–14	-0.01	16%	18 Oct →
ancient	11–13	-0.03	11%	18 Oct →
dust2	13–16	-0.03	20%	17 Oct →
dust2	8–13	0.02	24%	17 Oct →
dust2	15–15	0.00	10%	17 Oct →
ancient	13–6	0.05	15%	17 Oct →
mirage	13–7	0.08	12%	17 Oct →
inferno	13–8	0.01	11%	17 Oct →
nuke	13–16	0.04	20%	17 Oct →
overpass	13–10	0.07	11%	9 Oct →
nuke	8–13	-0.02	18%	9 Oct →
inferno	13–7	0.01	9%	9 Oct →
mirage	13–1	0.01	10%	8 Oct →
inferno	9–13	0.10	19%	8 Oct →
cache	13–4	0.04	22%	7 Oct →
anubis	11–13	-0.04	11%	7 Oct →
nuke	13–7	0.01	20%	7 Oct →
inferno	9–5	0.06	13%	7 Oct →
dust2	13–7	0.04	16%	6 Oct →
nuke	13–10	0.05	15%	6 Oct →
mirage	4–5	0.23	10%	4 Oct →
dust2	15–15	0.02	17%	4 Oct →
dust2	8–13	-0.06	11%	4 Oct →
nuke	13–4	-0.07	29%	4 Oct →
nuke	13–10	0.10	20%	3 Oct →
dust2	15–15	0.03	18%	3 Oct →
cache	10–13	0.05	33%	3 Oct →
cache	13–4	-0.04	8%	2 Oct →
dust2	10–13	-0.03	29%	2 Oct →
mirage	9–13	-0.08	9%	2 Oct →
anubis	13–6	-0.07	18%	2 Oct →
dust2	7–13	0.01	19%	2 Oct →
nuke	13–3	0.04	24%	2 Oct →
inferno	2–5	-0.03	29%	1 Oct →