Forest Smurf — CS2 Stats

DK76561198110456417[U:1:150190689]Steam profile ↗✓ No bans

3,429Tracked matches50%Win rate2020Tracked since

5,180Hours in CS41Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating8,088Light Blue band · top ~64% of ranked players (population est.)

CSDB Leaderboard#44461 of 60005 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,851), 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 3 median	Level 4 median	vs Level 4
Headshot rate	37.3%	41.8%	42.7%	5.3% short
Shot accuracy	14.9%	11.9%	10.8%	above
Kill/death ratio	1.02	0.97	1.00	above
Match win rate	44.3%	43.5%	44.1%	meets

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim68

Positioning54

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLLLWWTLWLW

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

Player DNA

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

Aim6.8

Aggression8.6

Utility5.3

Positioning5.4

Opening Duels2.9

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 b1t 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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. 571ms 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

Aim6.8

Positioning5.4

Utility5.3

Mechanics6.4

Opening Duels2.9

Win Impact5.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time572ms−60ms

first ⅓ avg 632ms → last ⅓ avg 572ms

Headshot accuracy15.8%−1.3%

first ⅓ avg 17.1% → last ⅓ avg 15.8%

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

0.13Best rating — nuke 13–5

13–2Biggest win — nuke

4Longest win streak

L3Current streak

8–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 62% over 21anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	28	15–13	54%	-0.00
ancient	C	26	9–17	35%	0.00
nuke	A	21	13–8	62%	0.01
anubis	D	11	3–8	27%	-0.01
mirage	C	10	4–6	40%	-0.02
dust2	—	3	1–2	33%	-0.03
vertigo	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,414Lifetime kills

1.02K/D · Top 50% of Level 3 players

6,509Matches

44.3%Match win rate · Top 50% of Level 3 players

37.3%Headshot %

14.9%Shot accuracy · Top 50% of Level 3 players

13,616MVPs

2,650Hours (in match)

4,087Bombs planted

1,540Bombs defused

Most-used weapons

AK-4724,925

M4A4 / M4A1-S19,638

AWP16,788

XM10144,952

P2000 / USP-S4,923

P2504,597

MAC-104,040

Desert Eagle3,503

Galil AR3,489

MP93,086

Lifetime map wins

21,789inferno

15,123nuke

3,564vertigo

1,714dust2

878train

513lake

162stmarc

157safehouse

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

Faceit stats

Combat

286Matches

49%Win rate

0.94Avg K/D

—ADR

31%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	8	62%	1.25	15.3
Vertigo	3	33%	1.24	19.0
Ancient	2	50%	1.30	19.0
Nuke	2	100%	2.15	14.5

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.

16.3%Headshot accuracy

37.1%Accuracy (enemy spotted)

34.9%Spray accuracy

78.8%Counter-strafing

10.5°Preaim

571msReaction time

37.6%T opening success

45.8%CT opening success

0.49Enemies flashed / flash

4.5%Flash assists

10.81HE damage / grenade

7.41Flashes / 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 0.4905 — 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 37.5585% — below the 40% mark we flag

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	4–13	-0.05	8%	30 Aug →
ancient	5–13	0.06	19%	30 Aug →
mirage	11–13	-0.01	14%	28 Aug →
mirage	13–6	0.07	14%	28 Aug →
ancient	13–6	0.01	26%	27 Aug →
inferno	15–15	-0.04	26%	27 Aug →
ancient	7–13	-0.02	9%	27 Aug →
anubis	16–12	0.07	21%	27 Aug →
ancient	11–13	0.01	27%	26 Aug →
anubis	13–11	0.06	15%	26 Aug →
inferno	13–11	-0.05	23%	26 Aug →
inferno	4–13	-0.03	11%	26 Aug →
inferno	13–5	0.06	14%	25 Aug →
ancient	13–7	-0.01	14%	25 Aug →
mirage	16–13	0.00	11%	25 Aug →
anubis	10–13	-0.01	12%	25 Aug →
ancient	10–13	0.01	21%	25 Aug →
nuke	13–4	0.07	29%	24 Aug →
inferno	11–13	0.00	11%	24 Aug →
ancient	14–16	-0.01	19%	24 Aug →
mirage	3–13	-0.04	11%	24 Aug →
inferno	13–3	0.04	10%	24 Aug →
nuke	16–14	-0.01	16%	24 Aug →
inferno	15–15	0.06	16%	24 Aug →
inferno	6–13	-0.05	26%	23 Aug →
inferno	3–13	-0.03	0%	23 Aug →
inferno	13–4	0.02	24%	23 Aug →
nuke	13–2	-0.03	0%	23 Aug →
nuke	7–9	0.06	14%	23 Aug →
ancient	13–3	-0.00	19%	23 Aug →
inferno	3–13	-0.02	7%	23 Aug →
vertigo	3–13	-0.05	18%	23 Aug →
inferno	13–3	0.10	17%	23 Aug →
nuke	10–13	-0.04	20%	23 Aug →
inferno	10–13	-0.02	10%	23 Aug →
nuke	13–5	-0.02	17%	20 Aug →
nuke	13–10	0.03	12%	20 Aug →
inferno	13–8	-0.03	17%	19 Aug →
mirage	13–9	0.00	16%	19 Aug →
mirage	3–13	-0.09	32%	19 Aug →
inferno	10–13	-0.01	13%	18 Aug →
ancient	6–13	0.03	11%	18 Aug →
nuke	11–13	0.01	13%	18 Aug →
nuke	7–13	0.00	13%	18 Aug →
mirage	5–13	-0.07	13%	18 Aug →
mirage	13–8	0.04	15%	18 Aug →
ancient	13–8	0.03	11%	18 Aug →
nuke	8–13	-0.03	9%	17 Aug →
dust2	1–13	-0.06	29%	17 Aug →
inferno	13–10	0.02	13%	17 Aug →
anubis	3–13	-0.13	6%	17 Aug →
ancient	14–16	-0.04	12%	16 Aug →
ancient	7–13	-0.03	19%	16 Aug →
inferno	13–6	0.01	5%	16 Aug →
anubis	4–13	-0.07	10%	16 Aug →
nuke	11–13	-0.01	23%	15 Aug →
nuke	13–9	0.04	10%	14 Aug →
nuke	13–3	0.04	22%	14 Aug →
ancient	8–13	-0.00	26%	14 Aug →
dust2	11–13	-0.00	18%	13 Aug →
inferno	13–4	0.01	31%	13 Aug →
dust2	13–10	-0.03	28%	13 Aug →
inferno	15–15	-0.04	21%	13 Aug →
anubis	10–13	0.03	18%	13 Aug →
nuke	13–3	0.06	18%	13 Aug →
ancient	10–13	-0.05	16%	12 Aug →
anubis	7–13	-0.02	22%	12 Aug →
ancient	13–2	0.04	17%	12 Aug →
ancient	13–8	0.03	31%	12 Aug →
ancient	10–13	0.06	21%	12 Aug →
ancient	13–10	-0.02	14%	12 Aug →
ancient	10–13	0.02	14%	12 Aug →
inferno	13–9	0.02	22%	11 Aug →
inferno	16–14	-0.03	17%	11 Aug →
ancient	6–13	-0.02	16%	10 Aug →
inferno	13–11	0.00	20%	10 Aug →
anubis	13–10	-0.01	8%	10 Aug →
inferno	13–11	0.01	25%	10 Aug →
ancient	13–16	-0.02	16%	10 Aug →
nuke	13–5	0.13	22%	10 Aug →
ancient	9–13	0.02	15%	10 Aug →
anubis	11–13	-0.03	12%	10 Aug →
nuke	15–15	-0.04	17%	9 Aug →
ancient	10–13	0.01	6%	9 Aug →
anubis	9–13	0.01	19%	8 Aug →
nuke	13–7	0.09	21%	5 Aug →
mirage	10–13	-0.03	22%	5 Aug →
inferno	13–11	0.00	25%	5 Aug →
ancient	13–7	-0.00	22%	5 Aug →
nuke	13–11	-0.01	11%	5 Aug →
nuke	13–10	-0.02	17%	3 Aug →
inferno	4–13	-0.06	12%	3 Aug →
nuke	2–13	-0.08	26%	3 Aug →
anubis	9–13	-0.02	21%	2 Aug →
nuke	13–3	0.04	13%	2 Aug →
ancient	13–5	0.00	10%	2 Aug →
ancient	7–13	0.01	16%	1 Aug →
inferno	12–16	-0.04	10%	1 Aug →
inferno	13–9	0.10	19%	29 Jul →
inferno	13–16	-0.06	8%	29 Jul →