FrkN | wtp'n Waffles 🧇 ✔ — CS2 Stats

CN76561198373727444[U:1:413461716]Steam profile ↗✓ No bans

1,237Tracked matches54%Win rate2021Tracked since

2,314Hours in CS7Hrs last 2 wks

CSDB Rating4.6 DevelopingPositional Player

Premier CS Rating12,830Blue band · top ~39.9% of ranked players (population est.)

CSDB Leaderboard#150632 of 232910 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (7 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 20 days played since 9 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,830 +2,831 11 Jul – 13 Sept · 17 days played

12,830Peak Premier in tracked matches

20Days played since 2026-07-09

Premier CS Rating

At peak — 12,830
+379 over 30 days · steady
Next: Purple band at 15,000 — 2,170 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-09-04
Light Blue band first seen 2026-09-04

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=20,242), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	42.5%	41.9%	44.3%	1.8% short
Shot accuracy	8.3%	9.6%	11.8%	3.5% short
Kill/death ratio	1.26	0.98	1.03	above
Match win rate	40.0%	43.8%	45.2%	5.3% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Purple 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

Aim50

Positioning56

Utility50

0–100 skill scores via Leetify.

Recent form

HOT48–46–6Last 10048%Win rateWWWLWLWWTW

Last 10 vs previous 10: +50pp win rate · +0.07 avg rating · +2.2pp headshot accuracy · −43ms reaction

Win rate up 50pp 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 0.07
Avg headshot accuracy 24%
Avg reaction 517ms

Last 10

7–2–1 · 70% win rate
Avg rating 0.07
Avg headshot accuracy 21%
Avg reaction 515ms

Last 20

9–10–1 · 45% win rate
Avg rating 0.03
Avg headshot accuracy 20%
Avg reaction 536ms

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 (+0.9 against its own average).

Aim5.0

Utility5.0

Positioning5.6

Opening Duels3.6

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 jL 75% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 560ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0

Positioning5.6

Utility5.0

Mechanics3.6

Opening Duels3.6

Win Impact6.2

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time563ms−49ms

first ⅓ avg 612ms → last ⅓ avg 563ms

Headshot accuracy21.6%+3.4%

first ⅓ avg 18.2% → last ⅓ avg 21.6%

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.

Personal bests

0.17Best match rating · 10–13 · ancient, 25 Jul →

39%Best headshot accuracy · 2–13 · mirage, 8 Aug →

391msFastest reaction time · 13–11 · office, 6 Sept →

13–0Biggest win · cache, 19 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W3Current streak

9–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 26% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	23	6–17	26%	0.01
mirage	B	21	11–10	52%	0.03
nuke	S	14	10–4	71%	0.03
inferno	B	13	6–7	46%	0.04
cache	A	11	6–5	55%	0.04
ancient	D	10	3–7	30%	0.06
anubis	S	5	4–1	80%	0.05
office	—	1	1–0	100%	0.04
train	—	1	0–1	0%	-0.01
vertigo	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (26% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,528Lifetime kills

1.26K/D · Top 10% of Blue band

4,325Matches

40.0%Match win rate

42.5%Headshot % · Top 50% of Blue band

8.3%Shot accuracy

4,761MVPs

1,442Hours (in match)

3,076Bombs planted

499Bombs defused

Most-used weapons

AK-4723,231

M4A4 / M4A1-S11,362

AWP4,451

SSG 084,230

P2000 / USP-S2,398

P902,252

P2502,221

MAC-102,015

Desert Eagle1,899

XM10141,863

Lifetime map wins

5,342dust2

2,770nuke

2,459inferno

1,903vertigo

712train

415office

244cbble

180ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.2%Headshot accuracy

34.2%Accuracy (enemy spotted)

33.8%Spray accuracy

66.1%Counter-strafing

13.9°Preaim

560msReaction time

44.0%T opening success

44.6%CT opening success

0.39Enemies flashed / flash

2.3%Flash assists

9.93HE damage / grenade

8.78Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.8614° — above the 12° mark we flag
Aim Training →
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 0.3887 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

26% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–9	0.06	27%	13 Sept →
dust2	13–8	0.08	28%	13 Sept →
cache	13–8	0.09	30%	13 Sept →
dust2	11–13	0.05	15%	10 Sept →
dust2	13–8	0.06	22%	10 Sept →
dust2	10–13	0.11	24%	7 Sept →
dust2	13–11	0.05	13%	7 Sept →
office	13–11	0.04	25%	6 Sept →
mirage	15–15	0.06	15%	6 Sept →
nuke	13–10	0.06	14%	6 Sept →
ancient	4–13	-0.01	17%	6 Sept →
nuke	10–13	0.06	29%	5 Sept →
dust2	2–13	-0.05	28%	5 Sept →
nuke	13–8	0.09	18%	5 Sept →
anubis	4–13	-0.03	16%	5 Sept →
dust2	4–13	-0.08	15%	5 Sept →
dust2	5–13	-0.02	18%	5 Sept →
cache	13–11	-0.04	20%	26 Aug →
cache	8–13	0.04	18%	26 Aug →
train	9–13	-0.01	13%	14 Aug →
anubis	13–8	0.09	25%	8 Aug →
inferno	13–3	0.03	24%	8 Aug →
mirage	13–10	-0.01	7%	8 Aug →
inferno	7–13	0.08	18%	8 Aug →
mirage	13–11	0.06	22%	8 Aug →
dust2	3–13	0.02	33%	8 Aug →
cache	13–8	0.09	25%	8 Aug →
mirage	13–9	0.14	28%	8 Aug →
ancient	15–15	0.03	23%	8 Aug →
mirage	2–13	-0.06	39%	8 Aug →
mirage	5–13	-0.01	19%	2 Aug →
mirage	13–5	-0.01	25%	2 Aug →
anubis	13–11	0.11	23%	2 Aug →
inferno	13–6	-0.04	8%	2 Aug →
ancient	6–13	0.04	15%	2 Aug →
dust2	10–13	0.00	22%	2 Aug →
nuke	13–4	0.05	27%	2 Aug →
mirage	3–13	-0.02	13%	2 Aug →
nuke	3–13	-0.07	25%	2 Aug →
nuke	13–3	0.03	29%	2 Aug →
vertigo	13–6	-0.03	11%	2 Aug →
mirage	13–8	0.03	16%	25 Jul →
ancient	10–13	0.17	26%	25 Jul →
inferno	13–8	0.06	17%	25 Jul →
nuke	13–8	0.13	12%	25 Jul →
nuke	13–10	-0.01	30%	24 Jul →
cache	10–13	0.04	10%	24 Jul →
dust2	7–4	-0.02	10%	24 Jul →
inferno	7–13	0.00	13%	24 Jul →
mirage	13–5	0.10	14%	24 Jul →
mirage	16–14	-0.01	24%	22 Jul →
inferno	15–15	0.08	15%	22 Jul →
dust2	10–13	0.07	24%	22 Jul →
inferno	13–10	0.10	26%	22 Jul →
nuke	7–13	-0.03	20%	22 Jul →
inferno	7–13	0.01	12%	22 Jul →
cache	15–15	0.04	16%	22 Jul →
ancient	10–13	0.04	14%	22 Jul →
dust2	7–13	0.01	22%	22 Jul →
ancient	2–13	-0.01	15%	22 Jul →
mirage	13–9	0.14	20%	21 Jul →
dust2	4–13	-0.02	17%	21 Jul →
inferno	8–13	-0.02	14%	21 Jul →
ancient	13–6	0.08	16%	20 Jul →
cache	13–0	0.03	10%	19 Jul →
nuke	13–8	0.05	15%	19 Jul →
inferno	12–1	0.16	18%	19 Jul →
dust2	5–13	0.01	17%	19 Jul →
dust2	9–13	0.07	15%	19 Jul →
dust2	9–13	-0.01	28%	19 Jul →
ancient	13–9	0.16	15%	16 Jul →
mirage	14–16	0.10	21%	16 Jul →
mirage	13–11	0.01	25%	16 Jul →
anubis	13–10	0.04	19%	16 Jul →
mirage	13–16	-0.01	22%	16 Jul →
nuke	13–8	0.13	24%	12 Jul →
dust2	14–16	-0.02	16%	12 Jul →
nuke	4–13	-0.04	18%	12 Jul →
dust2	13–9	0.03	18%	11 Jul →
dust2	11–13	-0.02	21%	11 Jul →
mirage	10–13	-0.08	6%	11 Jul →
dust2	13–9	-0.01	15%	11 Jul →
cache	16–14	0.09	12%	11 Jul →
nuke	13–4	0.03	13%	11 Jul →
ancient	8–13	0.03	15%	11 Jul →
dust2	5–13	-0.05	37%	11 Jul →
ancient	13–4	0.06	19%	11 Jul →
mirage	2–13	-0.03	10%	11 Jul →
cache	13–9	0.03	7%	11 Jul →
inferno	13–5	0.04	21%	11 Jul →
cache	11–13	-0.03	20%	11 Jul →
mirage	15–15	-0.03	12%	11 Jul →
mirage	13–10	0.06	12%	10 Jul →
nuke	13–11	-0.01	13%	10 Jul →
inferno	6–13	-0.07	2%	10 Jul →
mirage	15–15	-0.05	23%	10 Jul →
mirage	13–6	0.15	31%	9 Jul →
cache	6–13	0.03	25%	9 Jul →
dust2	11–13	-0.00	23%	9 Jul →
inferno	13–16	0.07	28%	9 Jul →