Boat monke

Boat monke — CS2 Stats

FI76561198064400104[U:1:104134376]Steam profile ↗✓ No bans

985Tracked matches55%Win rate2020Tracked since
4,419Hours in CS2Hrs last 2 wks
CSDB Rating7.1 StrongClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 985
−3.5ppWin rate · 58.6% → 55.2%

Rating over time

Premier CS Rating: 20,542 -707 17 Feb – 29 May · 10 days played
19,99921,873peak 21,87317 Feb29 May
21,873Peak Premier in tracked matches
36Days played since 2026-02-14

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

Performance scores

Aim81
Positioning64
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWWLTWLWLL

Last 10 vs previous 10: −20pp win rate · +0.07 avg rating · +4.1pp headshot accuracy · −115ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.07), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 30%
  • Avg reaction 597ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 26%
  • Avg reaction 554ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 612ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim8.1
Utility6.3
Positioning6.4
Opening Duels6.1
Clutch8.4

Reliable in 1v1s

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

device

Plays most like device 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 628ms 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

Aim8.1
Positioning6.4
Utility6.3
Mechanics8.2
Opening Duels5.7
Win Impact6.7

Composite 7.1/10 (Strong), 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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time628ms−40ms
first ⅓ avg 668ms → last ⅓ avg 628ms
Headshot accuracy25.0%−0.4%
first ⅓ avg 25.3% → last ⅓ avg 25.0%

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

0.27Best match rating · 13–3 · anubis, 14 Feb →
57%Best headshot accuracy · 8–2 · dust2, 17 Feb →
438msFastest reaction time · 12–2 · inferno, 12 Sept →
13–0Biggest win · ancient, 31 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 83% over 12ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB179–853%0.02
mirageD165–1131%0.00
dust2S1210–283%0.05
cacheC114–736%0.02
ancientD113–827%0.01
anubisD93–633%0.05
nukeA74–357%-0.00
overpassD62–433%0.02
vertigo—42–250%0.07
train—32–167%0.02
office—11–0100%0.02
poseidon—10–10%-0.04
italy—10–10%-0.02
warden—11–0100%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

110,194Lifetime kills
1.21K/D · Top 25% of tracked players
4,698Matches
46.2%Match win rate · Top 50% of tracked players
46.5%Headshot % · Top 50% of tracked players
16.0%Shot accuracy · Top 25% of tracked players
12,514MVPs
1,892Hours (in match)
3,904Bombs planted
1,244Bombs defused

Most-used weapons

AK-4728,172
AWP14,183
P2502,773
FAMAS1,663
P901,619

Lifetime map wins

7,117inferno
3,809dust2
3,258nuke
1,732vertigo
1,490train
714cbble
373lake
277office

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

Faceit stats

Combat

205Matches
58%Win rate
1.34Avg K/D
85.2ADR
49%Headshot %

Clutches & streaks

62%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient850%1.6815.0
Anubis786%1.5323.7
Mirage540%1.0514.0
Inferno560%1.0517.0
Nuke3100%1.1817.7
Vertigo333%0.9613.7
Dust2250%1.1418.0

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.

24.9%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.2%Spray accuracy
86.7%Counter-strafing
9.4°Preaim
628msReaction time
52.3%T opening success
53.5%CT opening success
0.52Enemies flashed / flash
11.4%Flash assists
13.56HE damage / grenade
7.77Flashes / match

Recommended for you

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–130.0131%30 Oct →
cache13–80.1033%23 Oct →
train13–40.0936%23 Oct →
cache6–130.0320%9 Oct →
anubis12–120.1131%9 Oct →
vertigo13–10.2627%9 Oct →
mirage8–130.0722%9 Oct →
inferno13–60.2415%9 Oct →
cache11–130.0127%26 Sept →
inferno7–13-0.0115%26 Sept →
inferno12–20.0938%12 Sept →
anubis6–130.0419%12 Sept →
ancient13–30.0421%4 Sept →
inferno13–50.0013%4 Sept →
nuke13–10-0.0422%23 Aug →
mirage13–10.0232%23 Aug →
dust213–60.0119%25 Jul →
cache9–130.0616%25 Jul →
inferno4–13-0.0620%25 Jul →
mirage5–13-0.0118%18 Jul →
inferno13–80.0428%18 Jul →
cache7–13-0.0217%18 Jul →
inferno13–100.0923%13 Jun →
dust213–40.1227%13 Jun →
mirage4–130.0833%13 Jun →
mirage13–10-0.0920%5 Jun →
ancient7–130.0333%29 May →
mirage10–130.0435%29 May →
nuke16–140.0627%29 May →
dust213–90.0231%29 May →
cache8–130.0327%29 May →
mirage13–9-0.0124%28 May →
cache3–13-0.0126%28 May →
office13–110.0240%15 May →
mirage0–8-0.100%15 May →
dust213–100.1239%15 May →
ancient12–120.0219%15 May →
overpass14–16-0.0425%9 May →
inferno12–40.0322%9 May →
dust213–10-0.0025%9 May →
anubis10–130.0025%8 May →
overpass11–130.0827%8 May →
ancient13–60.0121%8 May →
nuke7–90.0224%8 May →
poseidon4–9-0.0443%8 May →
inferno7–9-0.0433%8 May →
mirage13–16-0.0436%2 May →
inferno13–80.0040%1 May →
dust212–12-0.0032%1 May →
cache13–80.0624%1 May →
cache13–90.0635%1 May →
cache4–13-0.0424%1 May →
cache13–10-0.0345%30 Apr →
anubis16–140.0621%18 Apr →
vertigo4–13-0.0629%18 Apr →
overpass10–13-0.0023%17 Apr →
anubis2–13-0.0824%17 Apr →
nuke4–13-0.0424%17 Apr →
italy9–13-0.0229%17 Apr →
warden13–8-0.0242%17 Apr →
ancient11–130.0417%17 Apr →
anubis13–10.1832%5 Apr →
ancient14–160.0736%5 Apr →
mirage13–6-0.0328%5 Apr →
nuke9–70.0315%5 Apr →
inferno4–9-0.0447%5 Apr →
inferno10–13-0.0319%3 Apr →
ancient8–13-0.0718%3 Apr →
overpass16–140.0320%31 Mar →
ancient13–00.1043%31 Mar →
mirage8–13-0.0417%27 Mar →
mirage13–100.1038%25 Mar →
vertigo13–70.0121%14 Mar →
train12–12-0.0530%14 Mar →
inferno11–130.0027%14 Mar →
dust213–50.0419%14 Mar →
overpass10–13-0.0335%13 Mar →
mirage8–130.0316%13 Mar →
dust213–11-0.0235%6 Mar →
inferno13–40.0719%1 Mar →
nuke3–13-0.0814%28 Feb →
anubis4–13-0.0616%27 Feb →
inferno4–13-0.0810%27 Feb →
vertigo5–130.0935%21 Feb →
inferno13–70.0419%21 Feb →
ancient10–13-0.0836%21 Feb →
anubis10–13-0.0713%20 Feb →
dust213–90.0435%20 Feb →
mirage1–13-0.0124%17 Feb →
dust28–20.1157%17 Feb →
ancient1–100.0343%17 Feb →
train13–00.0214%14 Feb →
dust29–13-0.0224%14 Feb →
nuke13–110.0330%14 Feb →
inferno4–13-0.0312%14 Feb →
ancient7–13-0.0321%14 Feb →
dust213–50.2126%14 Feb →
overpass13–100.0911%14 Feb →
mirage10–130.0427%14 Feb →
anubis13–30.2731%14 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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