Coot — CS2 Stats

76561198121132594[U:1:160866866]

1,241Tracked matches41%Win rate2020Tracked since
4,332Hours in CS1Hrs last 2 wks
CSDB Rating5.2 Developing
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGCootFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning62
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY43498Last 10043%Win rateLWWLWLLLLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim5.8
Aggression9.1
Utility5.4
Positioning6.2
Opening Duels3.9
Clutch1.8

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

jL

Plays most like jL 89% playstyle similarity

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

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

Areas to improve

Reaction time. 618ms 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

Aim5.8
Positioning6.2
Utility5.4
Mechanics5.6
Opening Duels3.9
Win Impact2.1

Composite 5.2/10 (Developing), 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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time619ms−30ms
first ⅓ avg 649ms → last ⅓ avg 619ms
Headshot accuracy16.4%+2.1%
first ⅓ avg 14.2% → last ⅓ avg 16.4%

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

0.29Best rating — inferno 9–2
131Biggest win — mirage
3Longest win streak
42In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 56% over 16infernoWeakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
infernoD2481633%0.04
dust2B178947%0.03
nukeA169756%0.05
mirageC156940%0.03
vertigoC104640%0.04
ancientC104640%0.02
overpass41325%0.03
train32167%0.03
cache110100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,607Lifetime kills
1.38K/D · Top 10% of tracked players
3,681Matches
40.7%Match win rate
52.9%Headshot % · Top 25% of tracked players
12.0%Shot accuracy
9,748MVPs
1,216Hours (in match)
2,022Bombs planted
902Bombs defused

Most-used weapons

AK-4745,737
AWP9,018
MP91,514
P2501,484
MAC-101,133

Lifetime map wins

7,670dust2
2,578inferno
1,884nuke
1,384vertigo
493lake
256cbble
256train
230bank

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

Faceit stats

Combat

101Matches
57%Win rate
1.36Avg K/D
90.8ADR
39%Headshot %

Clutches & streaks

29%1v1 clutch win
41%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3060%1.5217.7
Inferno1963%1.4718.7
Nuke1662%1.3918.2
Ancient1362%1.0718.1
Vertigo1060%1.3920.1
Anubis425%1.6318.8
Overpass10%0.7613.0

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.

15.3%Headshot accuracy
35.9%Accuracy (enemy spotted)
39.0%Spray accuracy
75.3%Counter-strafing
11.6°Preaim
618msReaction time
42.8%T opening success
48.6%CT opening success
0.50Enemies flashed / flash
6.2%Flash assists
7.96HE damage / grenade
8.38Flashes / match

Recommended for you

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 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo0–11-0.0528%22 Aug
inferno13–30.0816%22 Aug
dust213–90.038%22 Aug
dust26–130.0320%10 Aug
mirage13–10.0917%10 Aug
overpass10–130.0514%9 Aug
nuke3–13-0.068%9 Aug
dust28–13-0.0625%6 Aug
mirage9–13-0.0312%3 Aug
ancient13–50.0112%3 Aug
mirage2–13-0.0110%2 Aug
ancient13–90.098%12 Jul
dust27–130.0117%12 Jul
cache13–11-0.0112%11 Jul
ancient10–130.0221%11 Jul
dust213–80.0612%5 Jul
inferno1–70.0141%2 Apr
inferno5–13-0.0118%25 Mar
nuke13–50.1026%25 Mar
mirage13–70.0810%19 Mar
inferno3–13-0.0123%19 Mar
mirage15–15-0.0311%12 Mar
nuke13–40.0612%12 Mar
inferno10–13-0.0112%9 Mar
ancient13–50.0121%9 Mar
nuke10–130.0512%8 Mar
mirage11–130.0319%8 Mar
dust213–30.1128%8 Mar
ancient10–130.059%7 Mar
mirage6–13-0.039%24 Feb
ancient5–13-0.0715%24 Feb
inferno9–30.1318%16 Feb
nuke13–40.0917%16 Feb
inferno3–9-0.0514%16 Feb
nuke13–80.1622%11 Feb
dust26–13-0.0333%18 Jan
dust212–120.0523%15 Jan
vertigo9–10.1330%15 Jan
dust210–13-0.0315%16 Dec
inferno7–80.018%16 Dec
nuke13–20.0817%30 Sept
overpass13–20.0713%30 Sept
overpass9–130.0122%25 Sept
overpass9–13-0.0115%25 Sept
inferno4–90.0110%25 Sept
inferno13–7-0.0112%3 Sept
nuke5–13-0.0614%3 Sept
nuke13–70.1312%27 Jul
nuke12–120.0211%21 Jun
mirage4–13-0.0511%14 Jun
nuke13–20.0915%28 Apr
inferno13–70.027%28 Apr
train12–12-0.0013%28 Apr
mirage13–70.1214%23 Apr
mirage10–130.1024%22 Apr
inferno3–9-0.0736%15 Apr
inferno8–13-0.027%3 Apr
dust24–130.0010%3 Apr
nuke13–80.0315%3 Apr
vertigo12–12-0.0112%1 Apr
inferno12–120.0710%15 Mar
ancient7–10.0313%15 Mar
mirage13–60.0616%15 Mar
vertigo5–130.1119%15 Mar
dust26–130.1016%15 Mar
dust213–80.1021%14 Mar
vertigo13–90.0311%14 Mar
inferno2–9-0.0313%13 Mar
inferno9–20.2711%13 Mar
nuke8–80.1015%13 Mar
inferno8–80.1618%13 Mar
inferno5–9-0.067%13 Mar
inferno9–20.2918%13 Mar
dust213–110.0413%6 Mar
mirage13–100.029%6 Mar
nuke5–11-0.0518%6 Mar
dust24–13-0.0113%27 Feb
dust213–60.1021%27 Feb
mirage9–130.1017%27 Feb
ancient9–130.0118%27 Feb
inferno10–13-0.006%18 Feb
nuke16–140.0315%17 Feb
mirage13–7-0.0010%17 Feb
ancient3–130.0016%10 Feb
inferno13–90.019%10 Feb
inferno5–130.0219%6 Feb
dust213–90.0217%30 Jan
train13–110.0117%30 Jan
dust213–60.0116%26 Jan
vertigo9–130.0513%26 Jan
inferno13–60.058%26 Jan
vertigo6–20.0519%26 Jan
vertigo3–130.0119%26 Jan
ancient7–130.0415%16 Jan
vertigo13–70.0510%16 Jan
vertigo7–13-0.0014%16 Jan
mirage10–130.0619%15 Jan
train13–60.0811%15 Jan
nuke6–13-0.0118%15 Jan
inferno10–130.049%12 Jan

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 →