grullet 2.0 — CS2 Stats

76561198080435234[U:1:120169506]Steam profile ↗✓ No bans

1,165Tracked matches59%Win rate2020Tracked since

CSDB Rating6.8 SolidPositional Player

Premier CS Rating20,903Top 50% of 208,919 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)

CSDB Leaderboard#69885 of 256067 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (2 days ago). 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: 20,903 +1,019 25 Jun – 20 Oct · 39 days played

20,931Peak Premier in tracked matches

43Days played since 2026-06-25

Premier CS Rating

At peak — 20,903
+1,938 over 30 days · improving
+1,514 over 90 days
Next: Red band at 25,000 — 4,097 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim69

Positioning68

Utility52

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateWWWWLWWLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +4.6pp headshot accuracy · −2ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating -0.02
Avg headshot accuracy 23%
Avg reaction 573ms

Last 10

8–2 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 25%
Avg reaction 573ms

Last 20

13–6–1 · 65% win rate
Avg rating -0.01
Avg headshot accuracy 23%
Avg reaction 573ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim6.9

Utility5.2

Positioning6.8

Opening Duels4.9

Strong CT-side opener

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 donk 88% 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 562ms 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

Aim6.9

Positioning6.8

Utility5.2

Mechanics6.6

Opening Duels7.2

Win Impact7.9

Composite 6.8/10 (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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time562ms−38ms

first ⅓ avg 600ms → last ⅓ avg 562ms

Headshot accuracy22.5%+2.0%

first ⅓ avg 20.5% → last ⅓ avg 22.5%

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.

Personal bests

0.07Best match rating · 13–1 · ancient, 9 Oct →

36%Best headshot accuracy · 13–9 · anubis, 25 Jun →

391msFastest reaction time · 8–13 · nuke, 4 Sept →

13–0Biggest win · anubis, 27 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W4Current streak

11–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 81% over 16mirageWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	23	10–13	43%	-0.01
cache	C	18	8–10	44%	-0.02
anubis	S	16	13–3	81%	-0.01
mirage	C	14	5–9	36%	-0.02
nuke	A	11	6–5	55%	-0.03
inferno	A	7	4–3	57%	-0.03
dust2	B	6	3–3	50%	-0.01
boulder	—	1	1–0	100%	0.02
poseidon	—	1	0–1	0%	-0.29
train	—	1	0–1	0%	-0.10
warden	—	1	0–1	0%	0.00
overpass	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches

50%Win rate

1.01Avg K/D

—ADR

42%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLWW

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.

22.1%Headshot accuracy

31.8%Accuracy (enemy spotted)

32.6%Spray accuracy

79.8%Counter-strafing

10.1°Preaim

562msReaction time

60.5%T opening success

57.5%CT opening success

0.43Enemies flashed / flash

6.1%Flash assists

10.40HE damage / grenade

7.52Flashes / 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.

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 0.4333 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–4	0.05	21%	20 Oct →
dust2	13–8	-0.02	32%	20 Oct →
cache	13–9	-0.03	20%	15 Oct →
anubis	13–7	-0.05	21%	15 Oct →
dust2	8–13	-0.06	23%	15 Oct →
inferno	13–10	-0.01	24%	12 Oct →
dust2	13–4	0.04	33%	12 Oct →
ancient	9–13	-0.02	23%	12 Oct →
ancient	13–1	0.07	27%	9 Oct →
ancient	13–9	-0.02	29%	5 Oct →
anubis	11–13	0.00	25%	5 Oct →
dust2	7–13	-0.03	33%	5 Oct →
cache	9–13	-0.06	24%	4 Oct →
inferno	13–8	-0.02	16%	28 Sept →
inferno	13–11	-0.05	15%	28 Sept →
anubis	13–5	-0.01	23%	28 Sept →
ancient	4–13	-0.04	13%	28 Sept →
anubis	13–10	-0.05	21%	24 Sept →
dust2	13–6	0.00	18%	24 Sept →
cache	15–15	0.02	17%	22 Sept →
mirage	10–13	-0.02	29%	22 Sept →
ancient	14–16	-0.01	17%	17 Sept →
ancient	16–14	0.04	24%	15 Sept →
anubis	16–12	-0.04	13%	15 Sept →
cache	11–13	0.04	17%	14 Sept →
nuke	13–11	-0.02	25%	14 Sept →
nuke	13–9	0.01	34%	8 Sept →
cache	9–13	-0.05	22%	8 Sept →
ancient	10–13	-0.07	18%	8 Sept →
nuke	8–13	-0.02	13%	4 Sept →
ancient	11–13	-0.04	23%	4 Sept →
ancient	13–11	0.02	21%	1 Sept →
cache	7–13	-0.00	27%	31 Aug →
anubis	13–6	-0.02	18%	31 Aug →
nuke	3–13	-0.11	15%	31 Aug →
mirage	13–7	0.01	32%	31 Aug →
cache	13–3	0.04	18%	27 Aug →
anubis	13–0	0.01	34%	27 Aug →
cache	10–13	-0.02	20%	24 Aug →
anubis	2–13	-0.08	21%	17 Aug →
nuke	11–13	0.02	16%	13 Aug →
ancient	7–13	-0.01	19%	13 Aug →
mirage	10–13	-0.04	32%	3 Aug →
anubis	13–10	0.00	24%	3 Aug →
anubis	13–9	-0.01	24%	31 Jul →
inferno	11–13	-0.03	29%	31 Jul →
ancient	13–8	-0.03	20%	31 Jul →
mirage	7–13	-0.01	23%	28 Jul →
ancient	8–13	-0.08	14%	27 Jul →
nuke	13–4	-0.03	23%	27 Jul →
ancient	13–11	-0.01	30%	24 Jul →
boulder	13–4	0.02	11%	24 Jul →
ancient	13–4	0.07	26%	23 Jul →
mirage	2–13	-0.07	25%	23 Jul →
poseidon	0–9	-0.29	0%	23 Jul →
cache	13–11	-0.06	9%	21 Jul →
anubis	13–2	0.04	16%	21 Jul →
cache	13–8	-0.04	17%	21 Jul →
inferno	13–7	0.01	21%	20 Jul →
anubis	13–9	0.02	19%	20 Jul →
mirage	13–6	0.03	19%	20 Jul →
nuke	13–5	-0.02	26%	20 Jul →
ancient	5–13	-0.00	14%	20 Jul →
nuke	13–11	-0.01	11%	19 Jul →
mirage	7–13	-0.02	20%	17 Jul →
nuke	10–13	-0.04	20%	17 Jul →
ancient	16–12	-0.01	23%	16 Jul →
cache	6–13	-0.00	9%	14 Jul →
ancient	8–13	-0.01	20%	14 Jul →
inferno	2–13	-0.05	28%	13 Jul →
mirage	2–13	-0.10	27%	13 Jul →
anubis	13–6	0.04	11%	13 Jul →
cache	13–8	0.05	32%	13 Jul →
ancient	7–13	-0.04	19%	13 Jul →
mirage	16–14	0.06	20%	11 Jul →
cache	10–13	-0.02	21%	11 Jul →
anubis	13–9	0.00	14%	9 Jul →
mirage	10–13	0.01	26%	9 Jul →
cache	13–6	-0.05	8%	9 Jul →
train	6–13	-0.10	14%	7 Jul →
warden	12–12	0.00	19%	7 Jul →
cache	13–2	0.03	19%	7 Jul →
cache	4–13	-0.02	32%	6 Jul →
anubis	9–13	-0.04	19%	6 Jul →
cache	6–13	-0.06	10%	6 Jul →
inferno	7–13	-0.04	26%	3 Jul →
mirage	9–13	-0.01	34%	3 Jul →
ancient	11–13	-0.01	14%	2 Jul →
overpass	13–9	0.02	17%	2 Jul →
mirage	13–9	0.02	28%	30 Jun →
mirage	13–7	-0.04	12%	30 Jun →
ancient	13–11	-0.03	10%	30 Jun →
ancient	8–13	-0.07	29%	29 Jun →
nuke	13–11	-0.03	11%	29 Jun →
ancient	8–13	-0.01	17%	29 Jun →
dust2	7–13	0.00	23%	26 Jun →
nuke	1–13	-0.09	30%	26 Jun →
cache	13–11	-0.07	24%	26 Jun →
mirage	7–13	-0.04	19%	25 Jun →
anubis	13–9	-0.01	36%	25 Jun →