NippleLicknNick — CS2 Stats

US76561199046654506[U:1:1086388778]Steam profile ↗✓ No bans

3,612Tracked matches25%Win rate2022Tracked since

2,110Hours in CS

CSDB Rating6.5 SolidEntry Fragger

FaceitLevel 10 · 2,149 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	Level 10 median
Headshot rate	82.0%	52.8%
Shot accuracy	1.1%	13.7%
Kill/death ratio	4.48	1.08
Match win rate	46.4%	49.2%

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Performance scores

Aim78

Positioning80

Utility62

0–100 skill scores via Leetify.

Recent form

COLD38–53–9Last 10038%Win rateLWLLLWLWTL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim7.8

Aggression10.0

Utility6.2

Positioning8.0

Opening Duels6.1

Clutch4.2

Effective flashes

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 s1mple 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 563ms 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

Aim7.8

Positioning8.0

Utility6.2

Mechanics6.8

Opening Duels6.1

Win Impact0.0

Composite 6.5/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time564ms+22ms

first ⅓ avg 541ms → last ⅓ avg 564ms

Headshot accuracy28.4%+3.9%

first ⅓ avg 24.4% → last ⅓ avg 28.4%

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

0.26Best rating — dust2 13–6

13–0Biggest win — nuke

6Longest win streak

4–15In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 47% over 17infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	28	10–18	36%	0.02
ancient	C	18	8–10	44%	0.04
nuke	B	17	8–9	47%	0.01
mirage	C	12	5–7	42%	0.02
cache	D	9	3–6	33%	0.02
inferno	D	7	1–6	14%	-0.00
anubis	D	6	2–4	33%	-0.00
overpass	—	1	0–1	0%	0.01
vertigo	—	1	0–1	0%	0.02
train	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

386,656Lifetime kills

4.48K/D · Top 1% of Level 10 players

3,829Matches

46.4%Match win rate

82.0%Headshot % · Top 1% of Level 10 players

1.1%Shot accuracy

10,454MVPs

2,110Hours (in match)

3,328Bombs planted

1,593Bombs defused

Most-used weapons

AK-47274,336

M4A4 / M4A1-S29,900

Desert Eagle22,657

AWP18,897

P2000 / USP-S18,633

Glock-188,035

Galil AR2,518

Knife1,411

Tec-91,300

MP91,270

Lifetime map wins

7,810dust2

5,749nuke

3,520inferno

3,508vertigo

746train

84office

33italy

8lake

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

Faceit stats

Combat

1,123Matches

51%Win rate

1.48Avg K/D

90.5ADR

55%Headshot %

Clutches & streaks

41%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	216	58%	1.58	21.4
Dust2	207	49%	1.36	18.8
Anubis	167	50%	1.42	19.9
Nuke	166	53%	1.55	19.3
Mirage	107	42%	1.35	19.2
Vertigo	106	50%	1.57	22.2
Inferno	89	45%	1.50	18.9
Overpass	44	61%	1.69	19.8

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.

29.4%Headshot accuracy

33.2%Accuracy (enemy spotted)

30.1%Spray accuracy

80.5%Counter-strafing

9.9°Preaim

563msReaction time

49.0%T opening success

59.7%CT opening success

0.73Enemies flashed / flash

13.1%Flash assists

6.88HE damage / grenade

10.09Flashes / match

Recommended for you

Spend your practice time on Inferno

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	-0.00	41%	28 Jul →
ancient	13–5	0.06	18%	28 Jul →
mirage	13–16	-0.05	17%	28 Jul →
anubis	9–13	-0.04	23%	28 Jul →
dust2	11–13	-0.01	29%	28 Jul →
dust2	13–8	0.05	28%	21 Jul →
nuke	10–13	0.03	43%	13 Jul →
dust2	13–6	0.26	29%	11 Jul →
nuke	15–15	0.11	23%	11 Jul →
cache	10–13	0.06	39%	11 Jul →
ancient	13–9	0.08	28%	11 Jul →
nuke	10–13	-0.03	31%	11 Jul →
dust2	11–13	0.08	28%	7 Jul →
cache	11–13	0.00	27%	7 Jul →
ancient	6–13	0.03	27%	6 Jul →
mirage	8–13	-0.01	22%	3 Jul →
ancient	5–13	0.01	30%	3 Jul →
nuke	6–13	-0.03	31%	2 Jul →
dust2	11–13	0.06	36%	2 Jul →
dust2	13–10	0.07	42%	2 Jul →
cache	13–8	0.03	39%	2 Jul →
dust2	3–13	-0.06	20%	2 Jul →
anubis	11–13	0.09	36%	2 Jul →
cache	2–13	-0.04	33%	1 Jul →
dust2	6–13	-0.04	39%	1 Jul →
ancient	12–12	0.11	26%	1 Jul →
ancient	2–13	-0.08	20%	30 Jun →
mirage	14–16	-0.03	32%	30 Jun →
dust2	13–8	-0.01	26%	30 Jun →
inferno	8–13	-0.05	16%	30 Jun →
nuke	13–4	0.03	22%	30 Jun →
ancient	14–16	0.08	19%	30 Jun →
dust2	2–13	-0.09	17%	30 Jun →
inferno	13–9	0.08	35%	29 Jun →
ancient	13–6	0.06	26%	29 Jun →
nuke	13–4	-0.05	44%	29 Jun →
ancient	16–14	0.04	24%	29 Jun →
dust2	13–10	0.01	19%	29 Jun →
dust2	13–11	0.08	23%	29 Jun →
dust2	11–13	-0.01	20%	29 Jun →
nuke	6–13	-0.05	26%	29 Jun →
ancient	13–9	0.03	24%	29 Jun →
mirage	4–13	0.08	29%	29 Jun →
inferno	2–9	-0.09	0%	29 Jun →
anubis	6–13	-0.08	29%	28 Jun →
overpass	6–13	0.01	35%	28 Jun →
dust2	5–13	-0.03	39%	27 Jun →
ancient	14–16	0.04	15%	27 Jun →
dust2	0–13	-0.05	0%	27 Jun →
dust2	15–15	-0.01	18%	27 Jun →
mirage	13–10	0.01	30%	26 Jun →
dust2	1–7	0.07	25%	26 Jun →
nuke	14–16	0.01	26%	24 Jun →
ancient	13–11	0.00	23%	24 Jun →
vertigo	9–13	0.02	28%	24 Jun →
inferno	11–13	0.00	30%	24 Jun →
nuke	13–8	0.01	24%	24 Jun →
mirage	13–3	-0.04	6%	24 Jun →
mirage	13–7	0.07	26%	24 Jun →
dust2	2–13	-0.00	26%	23 Jun →
mirage	4–13	-0.01	16%	23 Jun →
nuke	13–2	0.07	24%	23 Jun →
dust2	4–13	-0.00	33%	23 Jun →
nuke	11–13	0.02	26%	23 Jun →
nuke	13–0	0.00	0%	23 Jun →
ancient	7–13	0.02	33%	23 Jun →
dust2	13–10	0.09	40%	23 Jun →
mirage	12–12	0.15	31%	23 Jun →
train	13–5	0.07	49%	23 Jun →
nuke	13–3	0.04	26%	19 Jun →
cache	5–13	-0.01	17%	19 Jun →
ancient	9–13	-0.00	18%	19 Jun →
inferno	2–13	-0.04	47%	19 Jun →
nuke	13–6	0.00	20%	19 Jun →
dust2	9–13	-0.09	4%	19 Jun →
dust2	13–9	0.01	27%	19 Jun →
inferno	15–15	0.04	27%	19 Jun →
cache	12–12	0.02	26%	19 Jun →
dust2	13–2	0.08	22%	18 Jun →
dust2	15–15	0.00	26%	18 Jun →
mirage	13–7	-0.01	33%	18 Jun →
dust2	12–16	0.05	22%	18 Jun →
anubis	13–6	0.07	14%	17 Jun →
ancient	11–13	0.04	15%	17 Jun →
ancient	16–12	0.08	22%	17 Jun →
mirage	13–11	0.06	26%	17 Jun →
dust2	13–9	0.01	20%	17 Jun →
ancient	9–13	0.08	27%	17 Jun →
nuke	6–13	0.02	21%	17 Jun →
dust2	2–13	-0.04	38%	16 Jun →
anubis	16–12	0.01	20%	16 Jun →
cache	12–12	0.02	30%	16 Jun →
inferno	4–13	0.04	31%	16 Jun →
dust2	11–13	0.06	32%	16 Jun →
cache	13–6	0.07	27%	15 Jun →
anubis	15–15	-0.06	15%	14 Jun →
mirage	11–13	-0.01	16%	14 Jun →
ancient	13–6	0.10	25%	14 Jun →
nuke	13–8	-0.01	13%	14 Jun →
cache	13–1	0.07	20%	14 Jun →