Tomoッ

Tomoッ — CS2 Stats

SK76561198874926980[U:1:914661252]Steam profile ↗✓ No bans

886Tracked matches60%Win rate2020Tracked since
2,812Hours in CS
CSDB Rating6.4 SolidPositional Player
Premier CS Rating20,828Pink band · top ~7.6% of ranked players (population est.)
FaceitLevel 9 · 1,636 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGTomoッFACEITLevel 9 · 1,636 ELOSTANDINGTop 20.7% of rankedPREMIER20,828 · Pink bandcsdb.gg/stats

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Performance scores

Aim68
Positioning60
Utility55

0–100 skill scores via Leetify.

Recent form

HOT59–40–1Last 10059%Win rateWWLWWWLWWW

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · +2.9pp headshot accuracy · +102ms reaction

Win rate up 30pp 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 695ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 694ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 643ms

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 (+1.2 against its own average).

Aim6.8
Utility5.5
Positioning6.0
Opening Duels5.0
Clutch2.6

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

jL

Plays most like jL 90% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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. 601ms 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

Aim6.8
Positioning6.0
Utility5.5
Mechanics5.9
Opening Duels4.5
Win Impact8.3

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time610ms−88ms
first ⅓ avg 698ms → last ⅓ avg 610ms
Headshot accuracy26.5%+1.8%
first ⅓ avg 24.7% → last ⅓ avg 26.5%

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

0.19Best match rating · 9–6 · vertigo, 25 Aug →
56%Best headshot accuracy · 7–1 · inferno, 19 Sept →
445msFastest reaction time · 13–8 · dust2, 25 Aug →
13–0Biggest win · mirage, 24 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
11–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 78% over 9nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA2615–1158%-0.01
dust2B137–654%0.02
infernoS129–375%0.03
ancientB105–550%0.00
nukeD92–722%-0.05
cacheS97–278%0.02
anubisA74–357%-0.00
boulder—32–167%0.04
fachwerk—33–0100%-0.01
poseidon—22–0100%0.11
vertigo—21–150%0.11
shelter—21–150%0.03
train—11–0100%0.11
overpass—10–10%0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

133,645Lifetime kills
0.97K/D
5,839Matches
46.2%Match win rate
55.7%Headshot %
11.9%Shot accuracy
19,927MVPs
2,812Hours (in match)
4,371Bombs planted
1,845Bombs defused

Most-used weapons

AK-4753,360
AWP9,072
MP93,310
MAC-102,104
FAMAS1,486

Lifetime map wins

6,863inferno
4,788dust2
4,267nuke
3,456vertigo
2,381cbble
1,615train
1,612lake
469office

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

Faceit stats

Combat

366Matches
55%Win rate
1.24Avg K/D
82.9ADR
51%Headshot %

Clutches & streaks

33%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7753%1.2016.9
Ancient4457%1.2117.5
Dust23358%1.1416.3
Inferno3364%1.3916.8
Nuke2361%1.1015.8
Anubis2152%1.1716.1
Vertigo1136%1.1518.7
Overpass683%1.6419.8

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
33.2%Accuracy (enemy spotted)
35.7%Spray accuracy
76.6%Counter-strafing
11.1°Preaim
601msReaction time
46.6%T opening success
49.4%CT opening success
0.59Enemies flashed / flash
8.4%Flash assists
9.33HE damage / grenade
12.14Flashes / match

Recommended for you

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–60.0616%14 Nov →
mirage22–19-0.0414%7 Nov →
mirage7–130.0625%4 Oct →
nuke9–7-0.1215%29 Sept →
poseidon9–60.0938%26 Sept →
poseidon9–30.1326%26 Sept →
cache2–13-0.0433%24 Sept →
mirage13–5-0.1033%19 Sept →
inferno7–10.0056%19 Sept →
cache13–50.0829%19 Sept →
dust20–6-0.0515%19 Sept →
ancient8–130.0223%18 Sept →
mirage13–60.0438%18 Sept →
inferno9–60.1026%15 Sept →
ancient13–9-0.0019%15 Sept →
nuke11–130.0421%7 Sept →
dust211–130.1029%7 Sept →
mirage6–130.0231%6 Sept →
ancient16–140.0725%6 Sept →
inferno13–70.0728%2 Sept →
train13–100.1134%2 Sept →
mirage7–13-0.0313%2 Sept →
inferno16–140.0221%1 Sept →
nuke5–13-0.0420%1 Sept →
nuke7–13-0.0350%30 Aug →
dust216–130.0521%30 Aug →
nuke9–5-0.0222%25 Aug →
vertigo9–60.1924%25 Aug →
anubis13–9-0.0220%25 Aug →
dust213–80.0738%25 Aug →
boulder10–130.0529%20 Aug →
fachwerk13–90.0220%20 Aug →
shelter4–100.0223%15 Aug →
fachwerk13–11-0.0318%25 Jul →
boulder13–80.0328%24 Jul →
mirage13–00.000%24 Jul →
mirage11–13-0.0723%21 Jul →
inferno13–10.1840%21 Jul →
dust28–13-0.0325%21 Jul →
mirage13–8-0.0219%20 Jul →
mirage11–13-0.0710%20 Jul →
nuke7–13-0.0628%20 Jul →
mirage13–80.0029%20 Jul →
anubis13–30.0632%18 Jul →
cache13–00.0233%16 Jul →
dust25–11-0.0413%16 Jul →
mirage13–90.0422%16 Jul →
cache11–130.0114%15 Jul →
cache13–70.0823%15 Jul →
anubis2–13-0.0823%15 Jul →
inferno5–13-0.0018%15 Jul →
mirage5–13-0.0327%15 Jul →
mirage13–110.0229%14 Jul →
inferno13–60.0228%14 Jul →
ancient5–13-0.0220%14 Jul →
cache13–10-0.0222%14 Jul →
mirage13–11-0.0137%14 Jul →
mirage13–10-0.0422%13 Jul →
dust26–13-0.0431%13 Jul →
cache13–40.0518%13 Jul →
mirage7–13-0.0940%13 Jul →
mirage15–150.0235%12 Jul →
cache16–130.0427%12 Jul →
ancient19–17-0.0424%11 Jul →
shelter13–40.0428%10 Jul →
fachwerk13–11-0.0222%10 Jul →
boulder13–10.0433%10 Jul →
mirage13–30.0924%9 Jul →
anubis9–13-0.0024%8 Jul →
mirage13–11-0.0618%6 Jul →
mirage13–100.0420%5 Jul →
nuke2–9-0.1730%30 Jun →
anubis13–110.0227%18 Jun →
ancient13–9-0.029%18 Jun →
inferno13–100.0523%17 Jun →
ancient13–3-0.0225%17 Jun →
inferno13–70.0024%14 Jun →
dust213–3-0.0113%11 Jun →
nuke7–9-0.0319%11 Jun →
vertigo7–90.0326%11 Jun →
inferno6–130.0521%10 Jun →
dust213–40.1126%9 Jun →
overpass11–130.0933%9 Jun →
dust216–130.0238%6 Jun →
ancient7–13-0.0130%5 Jun →
ancient13–16-0.0117%2 Jun →
mirage0–13-0.0611%2 Jun →
mirage13–70.0423%1 Jun →
dust216–14-0.0319%27 May →
mirage3–13-0.0337%27 May →
ancient13–160.0425%25 May →
inferno13–5-0.0120%25 May →
anubis13–5-0.0128%25 May →
anubis7–130.0133%22 May →
dust26–130.0123%22 May →
cache13–90.0117%21 May →
mirage8–130.0927%21 May →
inferno6–13-0.0736%14 May →
nuke8–13-0.0135%14 May →
mirage13–9-0.0138%14 May →

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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