Bot_Tom

Bot_Tom — CS2 Stats

76561198182462875[U:1:222197147]Steam profile ↗✓ No bans

2,076Tracked matches34%Win rate2021Tracked since
CSDB Rating3.6 LearningSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

+9Tracked matches · now 2,076
−10.0ppWin rate · 44.4% → 34.5%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 22 days played since 30 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

14,999Peak Premier in tracked matches
22Days played since 2026-04-30

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

Share this profile

CSDB.GGBot_TomFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning39
Utility43

0–100 skill scores via Leetify.

Recent form

COLD36604Last 10036%Win rateLWLLLLWLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.4pp headshot accuracy · +2ms reaction

Win rate 0pp 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

  • 14 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 605ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 635ms

Last 20

  • 4151 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 635ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim5.0
Utility4.3
Positioning3.9
Opening Duels0.1
Clutch0.0

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0
Positioning3.9
Utility4.3
Mechanics3.5
Opening Duels1.6
Win Impact0.0

Composite 3.6/10 (Learning), 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 rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time616ms−77ms
first ⅓ avg 694ms → last ⅓ avg 616ms
Headshot accuracy16.6%+2.7%
first ⅓ avg 13.9% → last ⅓ avg 16.6%

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

0.04Best match rating · 13–3 · anubis, 18 Sept
35%Best headshot accuracy · 9–13 · dust2, 18 Sept
406msFastest reaction time · 13–6 · dust2, 7 Sept
13–2Biggest win · inferno, 12 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
56In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 60% over 5trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C1871139%-0.04
mirageD1431121%-0.05
cacheD134931%-0.05
ancientB126650%-0.07
anubisD103730%-0.03
infernoD93633%-0.04
nukeA74357%-0.05
trainD51420%-0.05
vertigoA53260%-0.06
overpassD51420%-0.07
sanctum110100%0.00
warden1010%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

3Matches
33%Win rate
0.62Avg K/D
64.3ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

16.5%Headshot accuracy
32.2%Accuracy (enemy spotted)
35.9%Spray accuracy
65.7%Counter-strafing
9.4°Preaim
619msReaction time
37.0%T opening success
36.0%CT opening success
0.37Enemies flashed / flash
1.7%Flash assists
7.47HE damage / grenade
6.87Flashes / 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. 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 0.3749 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 37.0492% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0418%18 Sept
anubis13–30.0412%18 Sept
dust29–13-0.0535%18 Sept
cache11–13-0.0610%18 Sept
mirage11–13-0.0312%18 Sept
train3–13-0.1426%17 Sept
ancient13–11-0.0510%17 Sept
inferno10–13-0.0412%17 Sept
anubis6–13-0.037%16 Sept
vertigo8–13-0.1015%12 Sept
ancient2–13-0.0922%12 Sept
inferno13–20.0117%12 Sept
anubis6–13-0.0816%12 Sept
dust24–13-0.0722%12 Sept
cache12–12-0.0112%12 Sept
inferno9–13-0.0431%11 Sept
nuke10–13-0.078%11 Sept
mirage1–13-0.1019%11 Sept
dust22–13-0.0711%11 Sept
ancient13–7-0.093%11 Sept
ancient13–6-0.0717%10 Sept
anubis9–13-0.0319%10 Sept
nuke13–10-0.0117%10 Sept
cache13–11-0.0118%10 Sept
dust213–110.0131%10 Sept
mirage13–10-0.0418%10 Sept
inferno13–6-0.016%10 Sept
mirage10–13-0.1114%9 Sept
nuke4–13-0.0712%9 Sept
cache6–13-0.0428%9 Sept
inferno12–12-0.0313%9 Sept
dust210–13-0.0526%9 Sept
ancient13–9-0.0315%9 Sept
train13–60.019%7 Sept
mirage12–120.0012%7 Sept
dust213–6-0.0423%7 Sept
mirage9–13-0.0811%3 Sept
anubis8–13-0.0525%3 Sept
dust213–6-0.0416%1 Sept
inferno6–13-0.066%1 Sept
anubis13–5-0.0726%1 Sept
cache7–13-0.0915%18 Aug
nuke8–13-0.026%18 Aug
train9–13-0.048%18 Aug
dust23–13-0.0211%18 Aug
ancient7–13-0.069%17 Aug
dust29–13-0.057%17 Aug
dust24–13-0.0619%17 Aug
inferno4–13-0.069%11 Aug
mirage13–11-0.0725%11 Aug
overpass12–12-0.0410%11 Aug
mirage8–13-0.0111%11 Aug
cache13–4-0.0513%21 Jul
ancient9–13-0.0910%3 Jul
anubis5–13-0.034%3 Jul
dust210–13-0.0423%3 Jul
cache7–13-0.0712%3 Jul
mirage9–13-0.0218%19 Jun
dust23–13-0.0910%19 Jun
vertigo13–5-0.1118%19 Jun
train11–13-0.009%19 Jun
anubis6–13-0.0413%19 Jun
cache13–6-0.0417%25 May
dust213–6-0.0315%25 May
sanctum9–60.006%25 May
inferno6–9-0.0311%25 May
overpass3–9-0.208%25 May
nuke9–6-0.109%25 May
vertigo9–6-0.0216%25 May
ancient9–13-0.0310%23 May
train11–13-0.0618%23 May
anubis13–7-0.008%23 May
warden3–13-0.046%23 May
overpass6–13-0.0521%23 May
cache1–13-0.0713%23 May
vertigo7–13-0.1011%8 May
mirage9–1-0.0310%8 May
cache6–13-0.0911%8 May
mirage8–13-0.017%4 May
dust210–13-0.0220%4 May
cache5–13-0.0320%4 May
vertigo13–70.0012%4 May
anubis3–13-0.034%2 May
dust213–11-0.0113%2 May
dust25–13-0.0627%2 May
nuke13–2-0.027%2 May
mirage3–13-0.0516%2 May
ancient11–13-0.0610%2 May
overpass10–5-0.0216%2 May
nuke13–4-0.0219%2 May
dust213–2-0.0110%2 May
mirage1–13-0.099%2 May
inferno13–10-0.0618%2 May
overpass7–13-0.0422%2 May
ancient16–12-0.064%2 May
ancient6–13-0.0624%30 Apr
mirage9–13-0.0415%30 Apr
dust213–8-0.0326%30 Apr
cache13–5-0.0621%30 Apr
ancient13–8-0.087%30 Apr

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 →