Grippy Granny — CS2 Stats

76561199502991111[U:1:1542725383]Steam profile ↗✓ No bans

1,387Tracked matches63%Win rate2023Tracked since

1,073Hours in CS22Hrs last 2 wks

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating26,204Top 25% of 819 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#1761 of 19633 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning51

Utility55

0–100 skill scores via Leetify.

Recent form

HOT60–40Last 10060%Win rateWWWLWWLWLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim7.2

Aggression5.7

Utility5.5

Positioning5.1

Opening Duels1.0

Clutch4.6

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 88% playstyle similarity

Most alike: utility contribution, 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. 553ms 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

Aim7.2

Positioning5.1

Utility5.5

Mechanics8.2

Opening Duels1.4

Win Impact9.4

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time553ms−33ms

first ⅓ avg 586ms → last ⅓ avg 553ms

Headshot accuracy12.3%−2.6%

first ⅓ avg 14.8% → last ⅓ avg 12.3%

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

0.14Best rating — mirage 13–2

13–1Biggest win — anubis

8Longest win streak

W3Current streak

10–4In matches decided by ≤2 rounds

16Overtime games

Map breakdown

ancientBest map · 75% over 12nukeWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	16–10	62%	-0.03
dust2	A	18	10–8	56%	-0.01
anubis	A	16	10–6	63%	-0.02
ancient	S	12	9–3	75%	-0.02
inferno	S	11	8–3	73%	-0.01
cache	C	9	4–5	44%	-0.03
nuke	D	6	2–4	33%	-0.04
vertigo	—	1	1–0	100%	-0.05
overpass	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,147Lifetime kills

1.11K/D · Top 50% of tracked players

1,535Matches

52.8%Match win rate · Top 25% of tracked players

39.4%Headshot %

0.3%Shot accuracy

3,219MVPs

645Hours (in match)

1,088Bombs planted

383Bombs defused

Most-used weapons

AK-477,381

M4A4 / M4A1-S4,789

AWP2,454

P2000 / USP-S1,528

Glock-181,279

MP91,139

SSG 081,120

MAC-10886

Desert Eagle822

XM1014532

Lifetime map wins

2,358inferno

2,079vertigo

1,871dust2

1,551nuke

109train

35office

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

Faceit stats

Combat

178Matches

55%Win rate

1.00Avg K/D

71.5ADR

41%Headshot %

Clutches & streaks

43%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	48	54%	1.00	15.0
Anubis	28	57%	0.89	14.5
Inferno	25	60%	1.21	16.2
Vertigo	19	58%	1.05	16.3
Dust2	18	56%	0.97	14.3
Ancient	15	60%	1.01	14.4
Overpass	12	50%	0.91	11.6
Nuke	9	33%	0.91	14.0

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.

12.1%Headshot accuracy

36.0%Accuracy (enemy spotted)

38.7%Spray accuracy

86.7%Counter-strafing

10.4°Preaim

553msReaction time

27.4%T opening success

40.8%CT opening success

0.58Enemies flashed / flash

6.7%Flash assists

6.02HE damage / grenade

17.02Flashes / 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 12.0761% — 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 27.4171% — 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.

33% win rate across 6 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
anubis	13–11	-0.03	27%	28 Aug →
anubis	13–8	0.03	12%	28 Aug →
ancient	13–5	-0.01	8%	26 Aug →
anubis	8–13	-0.03	4%	25 Aug →
cache	13–6	-0.03	21%	25 Aug →
ancient	13–11	0.01	6%	25 Aug →
dust2	6–13	-0.09	6%	20 Aug →
mirage	16–12	-0.03	8%	20 Aug →
dust2	7–13	-0.02	10%	18 Aug →
anubis	13–4	-0.02	12%	17 Aug →
mirage	10–13	-0.06	11%	17 Aug →
cache	5–13	-0.04	6%	17 Aug →
dust2	13–10	0.08	24%	17 Aug →
anubis	13–16	-0.03	9%	17 Aug →
dust2	13–5	0.03	10%	17 Aug →
nuke	7–13	-0.04	8%	16 Aug →
ancient	13–7	0.00	5%	16 Aug →
cache	13–16	-0.03	5%	16 Aug →
mirage	16–14	0.02	16%	16 Aug →
mirage	9–13	0.00	17%	16 Aug →
anubis	16–13	-0.00	6%	15 Aug →
dust2	25–22	-0.05	14%	14 Aug →
ancient	13–9	0.01	12%	14 Aug →
dust2	13–6	0.10	12%	13 Aug →
mirage	13–10	-0.07	12%	12 Aug →
inferno	13–10	0.02	18%	11 Aug →
mirage	16–13	-0.01	21%	11 Aug →
mirage	13–7	0.03	26%	10 Aug →
dust2	7–13	-0.04	4%	10 Aug →
mirage	4–13	-0.09	6%	10 Aug →
anubis	13–11	-0.02	12%	10 Aug →
anubis	11–13	0.01	18%	8 Aug →
mirage	13–6	-0.04	19%	7 Aug →
vertigo	13–6	-0.05	22%	7 Aug →
anubis	8–13	-0.02	15%	5 Aug →
inferno	22–18	-0.01	9%	5 Aug →
mirage	13–7	0.05	12%	5 Aug →
cache	2–13	-0.06	20%	4 Aug →
anubis	13–9	-0.04	15%	4 Aug →
ancient	13–8	0.00	4%	4 Aug →
inferno	13–4	-0.03	10%	4 Aug →
mirage	13–4	-0.02	10%	4 Aug →
dust2	19–22	-0.03	18%	3 Aug →
anubis	13–6	-0.05	9%	3 Aug →
mirage	14–16	-0.05	13%	2 Aug →
mirage	13–16	-0.10	10%	2 Aug →
mirage	16–14	-0.04	16%	2 Aug →
anubis	10–13	-0.00	20%	1 Aug →
ancient	11–13	-0.03	8%	31 Jul →
mirage	13–10	-0.05	24%	31 Jul →
inferno	13–8	0.01	8%	31 Jul →
anubis	13–10	-0.04	10%	30 Jul →
dust2	13–9	-0.07	6%	30 Jul →
mirage	13–6	-0.03	27%	30 Jul →
mirage	13–11	-0.05	11%	29 Jul →
dust2	16–14	-0.03	13%	29 Jul →
anubis	9–13	-0.03	15%	28 Jul →
mirage	5–13	-0.07	25%	27 Jul →
cache	13–11	-0.00	23%	27 Jul →
inferno	13–5	0.01	16%	27 Jul →
nuke	8–13	-0.03	18%	27 Jul →
mirage	13–2	0.14	27%	27 Jul →
dust2	13–9	-0.01	18%	27 Jul →
cache	7–13	-0.04	10%	25 Jul →
inferno	7–13	-0.06	18%	25 Jul →
mirage	4–13	-0.09	11%	25 Jul →
mirage	12–16	-0.04	26%	24 Jul →
dust2	13–9	-0.04	11%	24 Jul →
inferno	13–9	0.02	11%	22 Jul →
dust2	10–13	-0.07	9%	22 Jul →
anubis	13–1	-0.02	0%	21 Jul →
mirage	8–13	-0.02	22%	21 Jul →
ancient	6–13	-0.09	11%	21 Jul →
mirage	13–7	-0.04	8%	21 Jul →
ancient	13–7	-0.05	8%	14 Jul →
mirage	13–6	-0.01	17%	14 Jul →
ancient	13–5	-0.02	10%	13 Jul →
dust2	5–13	-0.03	18%	11 Jul →
nuke	11–13	-0.05	33%	11 Jul →
ancient	13–7	-0.03	6%	11 Jul →
mirage	16–12	-0.03	10%	11 Jul →
cache	13–10	-0.07	10%	11 Jul →
inferno	13–8	0.00	12%	11 Jul →
ancient	13–6	0.00	11%	10 Jul →
dust2	13–10	0.00	9%	9 Jul →
cache	13–7	0.01	14%	8 Jul →
cache	2–13	-0.03	22%	7 Jul →
anubis	13–3	-0.01	13%	2 Jul →
mirage	6–13	-0.02	28%	29 Jun →
dust2	8–13	-0.01	11%	29 Jun →
ancient	7–13	-0.07	10%	29 Jun →
inferno	13–16	-0.02	29%	29 Jun →
overpass	5–13	-0.06	8%	28 Jun →
inferno	6–13	-0.02	26%	28 Jun →
dust2	13–7	0.05	21%	25 Jun →
nuke	2–13	-0.04	27%	25 Jun →
nuke	13–6	-0.06	10%	24 Jun →
dust2	4–13	0.01	15%	24 Jun →
nuke	13–11	-0.05	17%	23 Jun →
inferno	13–11	-0.03	24%	22 Jun →