BOT Wood

BOT Wood — CS2 Stats

CL76561198154942949[U:1:194677221]Steam profile ↗✓ No bans

429Tracked matches71%Win rate2023Tracked since
3,303Hours in CS14Hrs last 2 wks
CSDB Rating6.6 SolidAggressive Rifler
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim75
Positioning61
Utility56

0–100 skill scores via Leetify.

Recent form

HOT553510Last 10055%Win rateWLWWWWWWWT

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression6.7
Utility5.6
Positioning6.1
Opening Duels2.2

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

b1t

Plays most like b1t 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 619ms 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

Aim7.5
Positioning6.1
Utility5.6
Mechanics7.3
Opening Duels2.2
Win Impact10.0

Composite 6.6/10 (Solid), 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+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time641ms+14ms
first ⅓ avg 627ms → last ⅓ avg 641ms
Headshot accuracy22.9%+1.4%
first ⅓ avg 21.5% → last ⅓ avg 22.9%

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

0.28Best rating — inferno 9–5
132Biggest win — nuke
7Longest win streak
710In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 67% over 6infernoWeakest map · 50% over 46
MapGradePlayedRecordWin rateAvg rating
infernoB46232350%0.04
cacheA117464%0.02
nukeB84450%0.02
debrisA85363%0.05
dust2S64267%0.03
vertigoA53260%-0.01
mirage42250%0.04
train32167%0.05
anubis32167%0.00
ancient31233%0.04
office21150%-0.02
fachwerk110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 46). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,433Lifetime kills
1.20K/D · Top 25% of tracked players
5,045Matches
51.3%Match win rate · Top 25% of tracked players
46.0%Headshot % · Top 50% of tracked players
10.1%Shot accuracy
11,940MVPs
1,644Hours (in match)
3,022Bombs planted
1,593Bombs defused

Most-used weapons

Lifetime map wins

8,412dust2
5,353inferno
3,127nuke
1,792vertigo
867lake
698train
139office
42cbble

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.

21.5%Headshot accuracy
36.4%Accuracy (enemy spotted)
41.7%Spray accuracy
83.0%Counter-strafing
11.0°Preaim
619msReaction time
33.6%T opening success
44.2%CT opening success
0.52Enemies flashed / flash
5.3%Flash assists
8.46HE damage / grenade
8.97Flashes / 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.

  1. 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 33.631% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
nuke13–110.0816%28 Aug
office10–13-0.0616%27 Aug
dust213–90.0521%15 Aug
mirage13–110.0824%15 Aug
fachwerk13–70.0119%14 Aug
mirage13–60.1023%14 Aug
inferno13–90.0915%14 Aug
train13–30.0722%12 Aug
train5–00.0567%12 Aug
train12–120.0221%12 Aug
inferno9–60.0618%10 Aug
inferno9–70.1223%10 Aug
mirage12–12-0.0320%10 Aug
nuke13–20.0329%10 Aug
dust213–80.0620%9 Aug
office13–80.0323%9 Aug
inferno13–50.0315%9 Aug
inferno9–40.1534%7 Aug
anubis6–130.0423%7 Aug
cache13–70.0624%6 Aug
ancient13–50.0820%6 Aug
debris8–8-0.0226%6 Aug
cache11–130.0219%5 Aug
inferno9–40.0517%5 Aug
debris9–5-0.0724%5 Aug
inferno13–20.1117%1 Aug
inferno9–50.2430%31 Jul
inferno8–80.078%31 Jul
cache13–3-0.0126%31 Jul
nuke3–13-0.0721%31 Jul
vertigo3–13-0.0324%31 Jul
vertigo4–130.0133%30 Jul
cache11–13-0.0420%30 Jul
vertigo13–6-0.0415%29 Jul
vertigo13–50.0026%29 Jul
vertigo13–80.0333%29 Jul
inferno9–20.2122%28 Jul
inferno9–7-0.0330%28 Jul
dust211–13-0.0019%27 Jul
inferno9–50.1722%27 Jul
debris7–9-0.0212%27 Jul
debris9–4-0.0320%27 Jul
debris5–90.0718%27 Jul
debris9–70.1119%26 Jul
debris9–10.1927%26 Jul
debris9–10.1816%26 Jul
inferno7–90.0125%26 Jul
anubis13–10-0.0618%26 Jul
anubis12–20.0313%26 Jul
inferno6–9-0.0418%23 Jul
mirage7–130.0117%22 Jul
dust28–13-0.0516%22 Jul
inferno8–80.0329%22 Jul
nuke13–3-0.0233%21 Jul
cache13–60.0223%21 Jul
nuke10–130.0733%8 Jul
nuke11–130.0013%4 Jul
ancient12–12-0.0030%4 Jul
inferno7–9-0.0216%4 Jul
inferno5–9-0.0911%4 Jul
inferno1–9-0.1821%4 Jul
inferno4–9-0.0638%4 Jul
inferno9–40.1635%3 Jul
dust213–90.0315%3 Jul
inferno9–7-0.0112%26 Jun
inferno9–60.0518%26 Jun
inferno5–9-0.0713%26 Jun
nuke13–80.0415%25 Jun
inferno3–9-0.1021%25 Jun
inferno5–90.0143%25 Jun
inferno9–30.1818%25 Jun
inferno9–10.1746%23 Jun
inferno8–80.1026%23 Jun
inferno8–80.0922%23 Jun
inferno9–30.2042%22 Jun
inferno1–9-0.2415%22 Jun
inferno3–9-0.0119%22 Jun
inferno9–50.2830%19 Jun
inferno9–30.2329%19 Jun
inferno8–80.0220%19 Jun
inferno7–9-0.1119%16 Jun
inferno5–9-0.0025%16 Jun
inferno9–60.1727%16 Jun
inferno7–90.0825%14 Jun
inferno9–40.1317%11 Jun
inferno2–9-0.2010%11 Jun
dust213–40.1116%24 May
nuke4–130.0124%23 May
cache9–130.0115%14 May
cache6–130.017%6 May
cache13–70.0510%6 May
inferno6–9-0.0429%5 May
cache13–100.1014%4 May
cache13–80.0220%30 Apr
cache13–50.0218%30 Apr
inferno9–70.0315%27 Apr
inferno7–9-0.0616%24 Apr
inferno2–9-0.0815%24 Apr
inferno9–3-0.0419%24 Apr
ancient12–120.0523%24 Apr

Match data via Leetify.

Recent teammates

Milestones

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