Forest Smurf

Forest Smurf — CS2 Stats

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

3,521Tracked matches60%Win rate2020Tracked since
5,252Hours in CS20Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating13,012Blue band · top ~38.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+241Premier CS Rating · 12,771 → 13,012

Rating over time

Premier CS Rating: 13,012 +4,177 27 Aug – 26 Oct · 36 days played
8,08813,012peak 13,01227 Aug26 Oct
13,137Peak Premier in tracked matches
37Days played since 2026-08-27

Premier CS Rating

  • At peak — 13,012
  • +2,330 over 30 days · improving
  • Next: Purple band at 15,000 — 1,988 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-10
  • Light Blue band first seen 2026-08-31

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches6142+19
Win rate52%52%+0pp
K/D1.081.13−0.05
Headshot %41%40%+1pp

Measured 24 Sep 2026 → 26 Oct 2026; previous 31 Aug 2026 → 24 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate37.4%41.8%42.7%5.3% short
Shot accuracy14.7%12.2%11.2%above
Kill/death ratio1.020.980.99above
Match win rate44.4%43.3%43.9%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.

Share this profile

CSDB.GGForest SmurfFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,012 · Blue bandcsdb.gg/stats

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

Aim74
Positioning67
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLWWWWWWLLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −0.4pp headshot accuracy · −30ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 572ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 567ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 581ms

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 (+1 against its own average).

Aim7.4
Utility5.2
Positioning6.7
Opening Duels5.3

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

donk

Plays most like donk 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 578ms 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

Aim7.4
Positioning6.7
Utility5.2
Mechanics7.3
Opening Duels7.9
Win Impact8.3

Composite 6.7/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time577ms−8ms
first ⅓ avg 585ms → last ⅓ avg 577ms
Headshot accuracy15.2%−2.4%
first ⅓ avg 17.6% → last ⅓ avg 15.2%

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

0.13Best match rating · 13–3 · nuke, 25 Oct →
40%Best headshot accuracy · 3–13 · mirage, 28 Sept →
453msFastest reaction time · 6–13 · nuke, 26 Oct →
13–0Biggest win · nuke, 25 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
3–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 69% over 26dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2815–1354%0.01
nukeS2618–869%0.02
ancientC166–1038%0.01
mirageC104–640%-0.00
anubisS96–367%0.02
dust2D71–614%-0.03
cache—43–175%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,202Lifetime kills
1.02K/D · Top 50% of Level 3 players
6,612Matches
44.4%Match win rate · Top 50% of Level 3 players
37.4%Headshot %
14.7%Shot accuracy · Top 50% of Level 3 players
13,873MVPs
2,691Hours (in match)
4,176Bombs planted
1,561Bombs defused

Most-used weapons

AK-4725,462
AWP17,086
XM10145,076
P2504,643
MAC-104,048
MP93,107

Lifetime map wins

22,104inferno
15,435nuke
3,577vertigo
1,759dust2
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

MapMatchesWin rateAvg K/DAvg kills
Inferno862%1.2515.3
Vertigo333%1.2419.0
Ancient250%1.3019.0
Nuke2100%2.1514.5

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.

15.0%Headshot accuracy
38.4%Accuracy (enemy spotted)
35.8%Spray accuracy
82.9%Counter-strafing
9.6°Preaim
578msReaction time
67.8%T opening success
55.7%CT opening success
0.56Enemies flashed / flash
2.0%Flash assists
8.22HE damage / grenade
6.56Flashes / match

Recommended for you

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.

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0114%26 Oct →
ancient5–10.008%26 Oct →
anubis13–80.0421%25 Oct →
nuke13–00.0113%25 Oct →
ancient16–13-0.0214%25 Oct →
nuke13–30.137%25 Oct →
nuke13–70.0518%25 Oct →
dust25–13-0.0124%23 Oct →
nuke9–13-0.0213%23 Oct →
nuke13–20.0411%22 Oct →
nuke13–30.0315%22 Oct →
inferno13–110.047%22 Oct →
nuke13–110.0320%22 Oct →
inferno13–10-0.0511%22 Oct →
inferno13–40.0912%22 Oct →
mirage13–9-0.0315%20 Oct →
nuke13–100.0322%20 Oct →
mirage9–130.0426%19 Oct →
ancient13–100.027%19 Oct →
dust27–13-0.0212%19 Oct →
mirage6–13-0.0412%18 Oct →
inferno14–160.0716%18 Oct →
anubis13–90.0311%15 Oct →
inferno10–130.0316%15 Oct →
ancient3–130.033%14 Oct →
inferno13–50.0419%14 Oct →
nuke13–9-0.0416%13 Oct →
inferno10–130.0229%10 Oct →
nuke6–13-0.0120%7 Oct →
inferno9–130.0210%7 Oct →
inferno13–60.0120%6 Oct →
nuke7–13-0.0521%6 Oct →
nuke13–8-0.0320%5 Oct →
ancient5–130.0522%5 Oct →
inferno8–13-0.0114%5 Oct →
nuke5–13-0.0915%4 Oct →
inferno10–13-0.0226%4 Oct →
inferno13–100.0421%3 Oct →
inferno7–130.0219%3 Oct →
dust213–9-0.0326%3 Oct →
inferno13–9-0.0415%1 Oct →
dust211–130.0322%1 Oct →
dust21–13-0.0633%1 Oct →
ancient8–130.0117%30 Sept →
nuke13–80.027%30 Sept →
cache10–13-0.0014%30 Sept →
nuke16–120.0313%29 Sept →
mirage13–80.0416%29 Sept →
anubis5–130.0023%29 Sept →
dust21–13-0.0623%28 Sept →
mirage3–13-0.0840%28 Sept →
mirage16–120.0311%28 Sept →
inferno13–70.0215%25 Sept →
nuke10–130.0116%25 Sept →
inferno13–4-0.049%25 Sept →
dust27–13-0.049%23 Sept →
cache13–30.026%23 Sept →
inferno16–130.0111%23 Sept →
mirage8–13-0.019%22 Sept →
ancient9–130.0026%22 Sept →
anubis3–00.0840%22 Sept →
nuke13–70.0316%22 Sept →
ancient7–130.095%17 Sept →
nuke12–160.0410%17 Sept →
ancient13–100.008%17 Sept →
inferno13–70.0621%17 Sept →
ancient11–13-0.0418%17 Sept →
anubis13–5-0.0212%14 Sept →
ancient3–13-0.0421%14 Sept →
inferno8–130.0123%14 Sept →
cache13–80.0521%14 Sept →
inferno10–13-0.0125%11 Sept →
inferno9–130.0014%11 Sept →
nuke13–30.1020%10 Sept →
inferno13–7-0.0314%10 Sept →
inferno13–50.0217%10 Sept →
nuke3–13-0.0129%9 Sept →
inferno10–130.0423%9 Sept →
anubis7–13-0.0030%8 Sept →
inferno13–10-0.0021%8 Sept →
ancient8–130.0117%8 Sept →
nuke16–13-0.0111%7 Sept →
inferno3–13-0.0416%4 Sept →
anubis13–8-0.019%4 Sept →
nuke16–140.0417%3 Sept →
inferno13–60.0424%3 Sept →
nuke13–70.0910%3 Sept →
nuke13–100.0211%2 Sept →
ancient13–80.0113%2 Sept →
nuke13–100.0515%1 Sept →
anubis9–130.0113%1 Sept →
cache13–8-0.0319%1 Sept →
mirage4–13-0.058%30 Aug →
ancient5–130.0619%30 Aug →
mirage11–13-0.0114%28 Aug →
mirage13–60.0714%28 Aug →
ancient13–60.0126%27 Aug →
inferno15–15-0.0426%27 Aug →
ancient7–13-0.029%27 Aug →
anubis16–120.0721%27 Aug →

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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