HalfNarwhal — CS2 Stats

76561198255953506[U:1:295687778]

1,211Tracked matches54%Win rate2022Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating17,051Purple band · top ~20.2% of ranked players (population est.)

CSDB Leaderboard#15892 of 28700 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanSilver Elite

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim76

Positioning52

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY42–46–12Last 10042%Win rateWWLLWLLLLW

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

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

Aim7.6

Aggression5.0

Utility3.2

Positioning5.2

Opening Duels2.4

Clutch1.0

Strong CT-side openerLimited utility dependence

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 87% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim7.6

Positioning5.2

Utility3.2

Mechanics8.4

Opening Duels2.4

Win Impact6.2

Composite 5.9/10 (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 rating-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time584ms−73ms

first ⅓ avg 656ms → last ⅓ avg 584ms

Headshot accuracy16.6%−1.1%

first ⅓ avg 17.7% → last ⅓ avg 16.6%

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

0.11Best rating — ancient 13–11

13–2Biggest win — dust2

6Longest win streak

W2Current streak

9–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 58% over 12infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	9–15	38%	-0.00
ancient	C	16	7–9	44%	-0.00
mirage	C	13	5–8	38%	0.01
inferno	D	12	4–8	33%	-0.00
cache	A	12	7–5	58%	-0.01
nuke	C	7	3–4	43%	-0.00
anubis	B	6	3–3	50%	0.02
train	—	3	1–2	33%	0.01
office	—	3	1–2	33%	-0.03
overpass	—	1	0–1	0%	0.00
shelter	—	1	1–0	100%	-0.05
italy	—	1	1–0	100%	-0.09
vertigo	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

111Matches

47%Win rate

1.09Avg K/D

88.2ADR

38%Headshot %

Clutches & streaks

25%1v1 clutch win

26%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	31	55%	1.14	16.7
Dust2	18	56%	1.22	16.4
Anubis	13	23%	1.02	16.1
Nuke	11	45%	1.00	15.4
Inferno	11	45%	1.16	14.6
Vertigo	6	67%	0.98	14.0
Ancient	3	33%	0.81	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.

16.4%Headshot accuracy

34.9%Accuracy (enemy spotted)

38.0%Spray accuracy

87.6%Counter-strafing

8.7°Preaim

594msReaction time

31.2%T opening success

48.3%CT opening success

0.38Enemies flashed / flash

0.4%Flash assists

9.05HE damage / grenade

4.19Flashes / 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 0.3796 — below the 0.5 mark we flag
Grenade Lineups →
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 31.1515% — below the 40% mark we flag

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.

33% win rate across 12 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
mirage	13–11	0.01	15%	28 Aug →
mirage	13–7	0.11	11%	28 Aug →
inferno	9–13	-0.02	16%	28 Aug →
dust2	2–13	-0.07	19%	28 Aug →
cache	13–9	-0.03	11%	28 Aug →
nuke	3–13	0.02	15%	28 Aug →
ancient	9–13	-0.01	23%	28 Aug →
nuke	3–13	-0.10	10%	28 Aug →
inferno	9–13	-0.03	20%	28 Aug →
cache	13–11	0.06	13%	28 Aug →
dust2	13–2	0.05	30%	28 Aug →
ancient	13–7	0.00	16%	27 Aug →
dust2	13–6	0.02	14%	27 Aug →
overpass	7–13	0.00	18%	27 Aug →
train	13–11	0.04	28%	27 Aug →
cache	13–10	0.03	14%	27 Aug →
office	13–8	-0.01	18%	26 Aug →
shelter	6–0	-0.05	25%	26 Aug →
italy	13–4	-0.09	16%	26 Aug →
anubis	13–8	0.07	17%	26 Aug →
office	11–13	-0.05	16%	26 Aug →
vertigo	5–13	-0.03	25%	26 Aug →
ancient	15–15	0.03	14%	26 Aug →
inferno	14–16	0.05	13%	25 Aug →
ancient	15–15	-0.02	10%	25 Aug →
cache	2–7	0.00	0%	25 Aug →
nuke	10–13	0.02	11%	25 Aug →
mirage	10–1	0.09	14%	25 Aug →
cache	13–7	-0.03	17%	25 Aug →
cache	4–13	-0.08	21%	25 Aug →
anubis	6–13	-0.03	24%	25 Aug →
ancient	11–13	0.03	19%	25 Aug →
inferno	10–13	-0.06	15%	25 Aug →
nuke	13–11	-0.01	16%	25 Aug →
ancient	10–13	-0.06	26%	25 Aug →
anubis	6–13	-0.04	21%	25 Aug →
train	11–13	0.05	22%	23 Aug →
dust2	13–5	0.04	20%	23 Aug →
dust2	10–13	-0.01	18%	23 Aug →
dust2	13–10	0.00	15%	23 Aug →
dust2	12–12	0.00	11%	23 Aug →
dust2	6–13	-0.05	19%	17 Aug →
nuke	13–11	0.01	16%	17 Aug →
mirage	12–12	0.01	11%	17 Aug →
inferno	13–10	-0.02	10%	17 Aug →
ancient	13–4	0.06	24%	17 Aug →
dust2	13–7	0.07	16%	17 Aug →
dust2	13–11	0.00	33%	13 Aug →
cache	13–5	0.03	8%	13 Aug →
office	7–13	-0.04	20%	23 Jul →
inferno	13–7	0.10	17%	22 Jul →
cache	13–9	0.01	18%	22 Jul →
mirage	12–12	0.02	20%	22 Jul →
dust2	13–6	-0.00	21%	22 Jul →
dust2	12–12	0.01	22%	21 Jul →
mirage	13–9	0.06	12%	21 Jul →
mirage	6–13	-0.00	21%	21 Jul →
ancient	11–13	-0.02	13%	21 Jul →
mirage	4–13	-0.08	21%	21 Jul →
dust2	10–13	-0.04	33%	21 Jul →
dust2	9–13	-0.03	23%	20 Jul →
mirage	10–13	-0.07	9%	20 Jul →
dust2	8–13	-0.03	13%	18 Jul →
train	9–13	-0.06	26%	18 Jul →
inferno	13–6	0.03	23%	18 Jul →
ancient	13–10	-0.05	24%	28 Jun →
mirage	12–12	-0.03	18%	28 Jun →
dust2	12–12	0.01	24%	28 Jun →
cache	4–13	-0.03	13%	28 Jun →
dust2	1–13	-0.09	11%	28 Jun →
anubis	12–12	0.04	14%	27 Jun →
inferno	7–13	-0.02	14%	27 Jun →
cache	8–13	-0.00	14%	27 Jun →
ancient	7–13	-0.06	14%	27 Jun →
nuke	13–8	0.00	13%	27 Jun →
dust2	12–12	-0.04	21%	22 Jun →
mirage	2–13	-0.01	14%	22 Jun →
inferno	8–13	0.06	33%	22 Jun →
cache	13–8	-0.04	20%	22 Jun →
ancient	11–13	-0.01	19%	22 Jun →
mirage	13–4	-0.01	27%	22 Jun →
anubis	13–11	0.03	15%	22 Jun →
dust2	6–13	-0.00	22%	22 Jun →
ancient	7–13	-0.05	24%	1 Jun →
dust2	6–13	0.01	20%	1 Jun →
dust2	13–11	0.07	15%	31 May →
ancient	13–6	0.02	18%	31 May →
nuke	12–12	0.05	22%	31 May →
inferno	4–13	-0.02	40%	31 May →
inferno	6–13	-0.07	10%	28 May →
ancient	13–10	-0.01	23%	28 May →
ancient	13–11	0.11	13%	18 May →
dust2	13–8	0.10	24%	18 May →
anubis	13–6	0.05	15%	17 May →
inferno	13–5	0.00	13%	17 May →
dust2	12–12	-0.08	15%	17 May →
mirage	7–13	-0.01	8%	16 May →
ancient	13–10	0.02	11%	16 May →
dust2	8–13	-0.02	10%	16 May →
cache	8–13	-0.03	15%	16 May →

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 →

Explore CSDB.gg

Sensitivity ConverterConvert sensitivity between CS2 and other games eDPI CalculatorCalculate your effective DPI cm/360 CalculatorMouse distance per full turn Resolution CalculatorCompare aspect ratios and resolutions Crosshair GeneratorBuild and preview custom crosshairs

Tools

Sticker Craft MakerPlan and price a CS2 sticker craft with live prices on every piece CS2 Stats TrackerLook up any player: Premier rating, Faceit level, matches and skill breakdown Trust Factor CheckerEstimate your CS2 Trust Factor from the signals Valve has acknowledged

Learn & Explore

Most Traded CS2 SkinsRanked by completed sales — transaction data, not listings Cheapest Knives in CS2Every knife type ranked by its cheapest live price Cheapest Gloves in CS2Every glove model ranked by its cheapest live price