Tomirama23

Tomirama23 — CS2 Stats

US76561198191710329[U:1:231444601]Steam profile ↗✓ No bans

812Tracked matches47%Win rate2021Tracked since
1,529Hours in CS0Hrs last 2 wks
CSDB Rating3.9 Learning
Premier CS Rating6,571Light Blue band · top ~71.3% of ranked players (population est.)
CSDB Leaderboard#10944 of 14483 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTomirama23FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,571 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning50
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY45532Last 10045%Win rateLWWLLLLWWW

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

Player DNA

Aim4.4
Aggression7.5
Utility4.7
Positioning5.0
Opening Duels2.4

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

ropz

Plays most like ropz 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 49% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 666ms 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

Aim4.4
Positioning5.0
Utility4.7
Mechanics4.5
Opening Duels2.4
Win Impact3.9

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time670ms−25ms
first ⅓ avg 694ms → last ⅓ avg 670ms
Headshot accuracy14.9%−1.9%
first ⅓ avg 16.8% → last ⅓ avg 14.9%

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

0.14Best rating — mirage 13–5
122Biggest win — inferno
4Longest win streak
127In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B24111346%0.00
mirageA2011955%0.01
nukeC167944%0.00
infernoD1331023%-0.01
cacheC94544%-0.01
ancientS96367%0.03
overpassC52340%0.03
anubis41325%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,148Lifetime kills
0.92K/D
1,996Matches
38.9%Match win rate
31.8%Headshot %
9.8%Shot accuracy
3,118MVPs
777Hours (in match)
1,883Bombs planted
388Bombs defused

Most-used weapons

Lifetime map wins

2,844inferno
2,012dust2
1,911nuke
690vertigo
443train
192cbble
135office
32lake

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

Faceit stats

Combat

8Matches
25%Win rate
0.46Avg K/D
ADR
33%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.5311.0
Nuke10%0.000.0
Inferno1100%0.7915.0
Anubis10%0.233.0

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.

14.9%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.9%Spray accuracy
70.5%Counter-strafing
11.2°Preaim
666msReaction time
48.6%T opening success
30.5%CT opening success
0.57Enemies flashed / flash
5.8%Flash assists
7.49HE damage / grenade
5.73Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.906% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.4805% — below the 40% mark we flag

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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0417%7 Aug
cache13–9-0.0020%6 Aug
dust213–90.0121%6 Aug
nuke6–13-0.0410%18 Jul
inferno1–130.020%18 Jul
mirage11–130.0511%18 Jul
inferno4–13-0.0519%18 Jul
cache13–110.023%18 Jul
cache13–70.0112%18 Jul
mirage13–40.0734%18 Jul
mirage2–130.0419%18 Jul
cache5–13-0.0216%16 Jul
mirage13–60.0813%16 Jul
anubis13–8-0.0014%16 Jul
nuke16–14-0.0212%16 Jul
inferno12–20.040%16 Jul
dust29–130.0213%15 Jul
nuke4–130.038%15 Jul
ancient6–130.0016%14 Jul
mirage13–16-0.0412%13 Jul
cache11–13-0.0117%13 Jul
mirage13–110.0226%13 Jul
cache11–13-0.0411%13 Jul
nuke13–8-0.0211%12 Jul
nuke3–13-0.0911%11 Jul
cache3–13-0.0318%11 Jul
nuke13–110.0224%9 Jul
dust21–13-0.0825%9 Jul
cache11–70.0320%9 Jul
mirage13–10-0.0213%8 Jul
nuke5–13-0.0015%8 Jul
dust213–100.0618%2 Jul
dust27–13-0.0611%2 Jul
dust210–13-0.0516%30 Jun
inferno9–13-0.0324%30 Jun
ancient13–80.0920%30 Jun
ancient13–80.0314%30 Jun
mirage3–13-0.1125%29 Jun
mirage16–14-0.0316%29 Jun
mirage13–50.148%29 Jun
nuke13–100.0110%28 Jun
dust26–130.0220%28 Jun
overpass1–11-0.028%25 Jun
dust213–3-0.0220%25 Jun
mirage10–130.053%24 Jun
ancient7–13-0.0114%24 Jun
dust210–130.0119%23 Jun
nuke13–110.0317%22 Jun
ancient11–13-0.0321%20 Jun
ancient13–90.0710%20 Jun
dust28–130.0210%19 Jun
mirage9–13-0.0315%19 Jun
nuke7–13-0.044%19 Jun
anubis15–15-0.059%19 Jun
nuke13–10-0.0414%13 Jun
mirage13–11-0.0320%13 Jun
dust213–8-0.0224%13 Jun
inferno6–13-0.0125%13 Jun
mirage16–130.0222%13 Jun
inferno8–130.029%13 Jun
mirage13–60.0213%10 Jun
dust213–80.0129%10 Jun
anubis0–13-0.0410%10 Jun
mirage11–130.0317%10 Jun
overpass13–90.1022%10 Jun
nuke10–13-0.0114%8 Jun
overpass8–13-0.065%8 Jun
dust213–110.0422%8 Jun
anubis5–130.0114%8 Jun
inferno13–16-0.039%7 Jun
dust213–9-0.0821%7 Jun
inferno11–130.0529%7 Jun
inferno6–13-0.0023%7 Jun
dust29–13-0.0414%7 Jun
nuke16–120.0914%7 Jun
nuke4–120.1322%3 Jun
nuke8–130.0516%3 Jun
dust216–140.0521%2 Jun
dust213–100.1113%2 Jun
ancient13–50.1312%2 Jun
mirage7–13-0.049%2 Jun
dust213–100.0724%31 May
ancient13–90.0313%31 May
inferno6–13-0.0315%31 May
dust210–13-0.0322%30 May
inferno12–16-0.0114%30 May
overpass15–150.1326%29 May
overpass13–11-0.0020%28 May
ancient13–7-0.065%28 May
dust213–8-0.0015%28 May
mirage8–13-0.008%28 May
nuke7–13-0.046%27 May
inferno13–11-0.025%27 May
inferno13–11-0.0233%27 May
mirage13–60.0720%27 May
dust29–13-0.0318%27 May
mirage13–7-0.0417%27 May
dust23–130.0128%27 May
dust23–130.0014%27 May
dust210–13-0.0315%26 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 →