Grimmer — CS2 Stats

76561197994475809[U:1:34210081]

1,104Tracked matches47%Win rate2020Tracked since

5,051Hours in CS12Hrs last 2 wks

CSDB Rating4.5 Developing

Premier CS Rating16,993Purple band · top ~20.5% of ranked players (population est.)

CSDB Leaderboard#23352 of 43558 tracked

WingmanGold Nova I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	41.2%	44.2%	47.1%	5.8% short
Shot accuracy	12.6%	11.6%	12.8%	meets
Kill/death ratio	0.98	1.03	1.08	0.10 short
Match win rate	40.1%	45.2%	46.6%	6.5% short

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

Widest gap: Match win rate. That is the metric furthest from the Pink 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

Aim48

Positioning41

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWLWLLWLLW

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

Player DNA

Aim4.8

Aggression4.1

Utility5.2

Positioning4.1

Opening Duels0.3

Clutch4.8

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 76% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Reaction time. 632ms 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

Aim4.8

Positioning4.1

Utility5.2

Mechanics6.6

Opening Duels0.5

Win Impact3.9

Composite 4.5/10 (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 rating-0.04−0.03

first ⅓ avg -0.01 → last ⅓ avg -0.04

Reaction time636ms+22ms

first ⅓ avg 615ms → last ⅓ avg 636ms

Headshot accuracy20.1%+3.4%

first ⅓ avg 16.7% → last ⅓ avg 20.1%

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

0.14Best rating — inferno 13–11

13–2Biggest win — overpass

4Longest win streak

6–2In matches decided by ≤2 rounds

1Overtime games

Map breakdown

shelterBest map · 80% over 10trainWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
overpass	S	12	8–4	67%	-0.01
cache	D	12	4–8	33%	-0.02
nuke	A	11	6–5	55%	-0.02
vertigo	C	10	4–6	40%	-0.01
shelter	S	10	8–2	80%	0.01
train	D	8	2–6	25%	-0.03
office	S	6	4–2	67%	-0.03
ancient	D	6	2–4	33%	-0.04
inferno	D	6	2–4	33%	-0.00
mirage	—	4	1–3	25%	-0.06
fachwerk	—	4	0–4	0%	-0.09
anubis	—	4	3–1	75%	0.01
dust2	—	3	2–1	67%	-0.04
boulder	—	3	1–2	33%	0.00
warden	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Lifetime stats

132,469Lifetime kills

0.98K/D

7,263Matches

40.1%Match win rate

41.2%Headshot %

12.6%Shot accuracy · Top 50% of Purple band

14,686MVPs

2,623Hours (in match)

6,951Bombs planted

1,092Bombs defused

Most-used weapons

AK-4730,949

AWP18,521

M4A4 / M4A1-S17,031

P2000 / USP-S6,688

Desert Eagle6,673

XM10145,719

P905,498

Glock-184,821

MAC-104,613

P2503,284

Lifetime map wins

11,838dust2

7,565inferno

5,217nuke

2,506train

2,150cbble

2,001vertigo

1,128office

721italy

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

Faceit stats

Combat

31Matches

65%Win rate

0.93Avg K/D

76.0ADR

45%Headshot %

Clutches & streaks

44%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	7	71%	1.00	15.1
Cache	6	83%	1.03	17.0
Nuke	6	50%	0.88	11.2
Inferno	3	67%	0.93	10.7
Dust2	3	67%	1.07	12.7
Ancient	3	67%	0.76	8.3
Mirage	2	0%	0.72	12.0

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.

20.6%Headshot accuracy

28.2%Accuracy (enemy spotted)

30.0%Spray accuracy

79.7%Counter-strafing

11.6°Preaim

632msReaction time

28.0%T opening success

34.1%CT opening success

0.52Enemies flashed / flash

2.9%Flash assists

9.03HE damage / grenade

11.42Flashes / 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
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 27.9736% — below the 40% mark we flag

Spend your practice time on Train

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	-0.13	12%	17 Aug →
nuke	13–3	-0.03	20%	14 Aug →
vertigo	5–13	-0.06	18%	14 Aug →
overpass	13–4	-0.01	19%	14 Aug →
train	8–13	-0.06	15%	13 Aug →
fachwerk	5–13	-0.06	40%	12 Aug →
overpass	13–2	0.00	40%	12 Aug →
dust2	10–13	-0.08	17%	12 Aug →
vertigo	9–13	-0.02	19%	12 Aug →
office	13–7	-0.08	31%	11 Aug →
train	13–9	-0.08	22%	11 Aug →
overpass	13–9	-0.07	25%	11 Aug →
nuke	5–13	-0.09	17%	11 Aug →
vertigo	10–13	0.00	20%	11 Aug →
ancient	8–13	-0.02	6%	10 Aug →
inferno	13–9	-0.01	22%	10 Aug →
overpass	13–5	-0.03	13%	10 Aug →
train	2–13	-0.06	7%	9 Aug →
nuke	11–13	-0.05	25%	9 Aug →
shelter	13–8	0.01	18%	8 Aug →
train	6–13	-0.01	21%	8 Aug →
vertigo	13–10	-0.05	26%	8 Aug →
cache	4–13	-0.08	29%	7 Aug →
shelter	13–8	-0.01	29%	7 Aug →
office	13–10	0.01	16%	7 Aug →
inferno	7–13	-0.03	28%	7 Aug →
cache	13–5	-0.03	13%	6 Aug →
train	8–13	-0.02	10%	5 Aug →
cache	7–13	-0.01	20%	5 Aug →
anubis	13–8	-0.02	24%	5 Aug →
shelter	13–5	-0.06	10%	4 Aug →
office	3–13	-0.05	20%	4 Aug →
office	13–4	0.03	12%	4 Aug →
cache	2–13	-0.12	6%	4 Aug →
inferno	6–13	-0.05	14%	4 Aug →
overpass	13–9	-0.01	9%	4 Aug →
overpass	6–13	-0.05	19%	3 Aug →
nuke	13–5	0.01	13%	3 Aug →
shelter	13–11	0.01	13%	3 Aug →
vertigo	9–13	-0.05	21%	3 Aug →
cache	6–13	0.03	18%	3 Aug →
train	13–2	0.14	14%	3 Aug →
nuke	5–13	0.01	20%	2 Aug →
ancient	13–9	-0.06	17%	2 Aug →
vertigo	13–5	0.08	17%	2 Aug →
fachwerk	3–13	-0.15	4%	2 Aug →
overpass	13–10	-0.00	14%	2 Aug →
nuke	13–2	0.06	12%	2 Aug →
overpass	13–6	0.03	16%	31 Jul →
ancient	5–13	-0.04	16%	31 Jul →
office	13–10	-0.09	15%	31 Jul →
vertigo	12–12	-0.01	10%	29 Jul →
nuke	13–10	-0.03	16%	29 Jul →
boulder	13–5	0.02	21%	29 Jul →
cache	13–3	0.04	14%	29 Jul →
overpass	9–1	-0.03	7%	28 Jul →
nuke	13–16	-0.06	13%	27 Jul →
train	3–13	-0.02	13%	27 Jul →
nuke	13–3	0.05	9%	27 Jul →
dust2	13–8	0.02	34%	27 Jul →
vertigo	13–11	0.00	16%	26 Jul →
cache	13–11	0.01	13%	26 Jul →
cache	8–13	-0.02	16%	24 Jul →
train	2–13	-0.12	32%	24 Jul →
mirage	13–10	-0.01	23%	23 Jul →
anubis	13–8	0.00	15%	23 Jul →
mirage	10–13	-0.07	11%	23 Jul →
ancient	6–13	-0.07	8%	22 Jul →
cache	7–13	-0.02	20%	21 Jul →
cache	6–13	0.00	18%	15 Jul →
ancient	13–8	-0.03	11%	15 Jul →
inferno	4–13	-0.08	18%	15 Jul →
nuke	13–7	-0.01	10%	15 Jul →
nuke	0–13	-0.08	0%	15 Jul →
overpass	5–13	0.04	32%	15 Jul →
ancient	8–13	-0.02	17%	15 Jul →
anubis	13–3	0.13	28%	14 Jul →
shelter	13–9	0.06	19%	14 Jul →
mirage	9–13	-0.04	22%	14 Jul →
shelter	13–7	0.03	12%	14 Jul →
fachwerk	11–13	-0.05	15%	11 Jul →
shelter	6–13	0.01	20%	11 Jul →
cache	13–11	-0.02	18%	11 Jul →
vertigo	5–13	-0.02	13%	11 Jul →
anubis	6–13	-0.09	18%	11 Jul →
dust2	13–3	-0.07	19%	11 Jul →
inferno	13–11	0.14	22%	10 Jul →
office	10–13	0.01	24%	10 Jul →
boulder	5–13	-0.01	17%	10 Jul →
fachwerk	12–12	-0.08	18%	10 Jul →
shelter	13–11	0.07	14%	10 Jul →
overpass	7–13	-0.01	19%	10 Jul →
boulder	10–13	0.00	16%	9 Jul →
shelter	1–13	-0.07	17%	9 Jul →
shelter	13–8	0.04	7%	9 Jul →
warden	13–4	0.02	10%	8 Jul →
inferno	3–13	0.01	32%	7 Jul →
vertigo	11–8	-0.02	11%	7 Jul →
overpass	5–13	-0.04	9%	7 Jul →
cache	6–13	-0.04	16%	4 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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