Tomaldox

Tomaldox — CS2 Stats

PE76561198122989702[U:1:162723974]Steam profile ↗✓ No bans

2,278Tracked matches73%Win rate2020Tracked since
CSDB Rating7.4 StrongPositional Player
Premier CS Rating26,206Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#12456 of 261545 tracked
FaceitLevel 9 · 1,609 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,206 +4,524 9 Aug – 12 Nov · 17 days played
20,50726,206peak 26,2069 Aug12 Nov
Faceit ELO: 1,609 +0 4 Sept – 26 Sept · 2 observations
1,6091,609peak 1,6094 Sept26 Sept
26,206Peak Premier in tracked matches
1,609Highest Faceit ELO seen on CSDB
41Days played since 2026-08-04

Faceit ELO

  • At peak — 1,609
  • Next: Level 9 at 1,751 — 142 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-04
  • Level 7 first seen 2026-09-04

Premier CS Rating

  • At peak — 26,206
  • +2,824 over 30 days · improving
  • +4,444 over 90 days
  • Next: Gold band at 30,000 — 3,794 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGTomaldoxFACEITLevel 9 · 1,609 ELOSTANDINGTop 20.7% of rankedPREMIER26,206 · Red bandPEAK ELO1,609csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72
Positioning71
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY69–27–4Last 10069%Win rateWWLWWWLLWW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −1.7pp headshot accuracy · +34ms reaction

Win rate −10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 611ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 601ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 584ms

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 (+1.7 against its own average).

Aim7.2
Utility5.7
Positioning7.1
Opening Duels5.8
Clutch2.8

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 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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. 581ms 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

Aim7.2
Positioning7.1
Utility5.7
Mechanics6.1
Opening Duels6.8
Win Impact10.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time579ms−55ms
first ⅓ avg 634ms → last ⅓ avg 579ms
Headshot accuracy25.1%−1.9%
first ⅓ avg 27.0% → last ⅓ avg 25.1%

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

0.15Best match rating · 8–2 · dust2, 4 Sept →
50%Best headshot accuracy · 5–13 · nuke, 2 Oct →
453msFastest reaction time · 12–12 · dust2, 24 Sept →
13–1Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
9–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 83% over 6mirageWeakest map · 50% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S4430–1468%-0.00
infernoS1612–475%0.00
cacheS128–467%0.00
ancientA85–363%-0.01
mirageB63–350%-0.03
anubisS65–183%-0.03
nuke—43–175%0.03
train—32–167%-0.03
overpass—11–0100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

698Matches
54%Win rate
1.01Avg K/D
69.0ADR
55%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust217758%0.9714.1
Inferno6554%0.8813.3
Ancient3834%0.6412.3
Cache3450%0.7812.0
Mirage2662%0.9212.7
Anubis2631%0.8613.0
Nuke1136%0.8414.4
Overpass520%0.7914.6

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.

25.0%Headshot accuracy
32.1%Accuracy (enemy spotted)
38.1%Spray accuracy
77.4%Counter-strafing
10.6°Preaim
581msReaction time
59.9%T opening success
54.4%CT opening success
0.53Enemies flashed / flash
7.6%Flash assists
8.13HE damage / grenade
8.53Flashes / match

Recent matches

MapScoreRatingHS%Date
nuke13–80.0630%12 Nov →
inferno13–9-0.0323%12 Nov →
dust25–13-0.0616%12 Nov →
mirage13–60.0117%12 Nov →
cache13–40.0937%12 Nov →
cache13–60.0535%3 Nov →
anubis4–13-0.0514%2 Nov →
dust211–130.0319%2 Nov →
anubis13–40.0031%28 Oct →
dust213–20.0134%27 Oct →
ancient13–110.0136%26 Oct →
cache13–9-0.0413%16 Oct →
mirage4–13-0.0423%15 Oct →
dust213–30.0229%12 Oct →
dust213–20.0233%12 Oct →
dust213–10.0329%9 Oct →
train13–7-0.0623%7 Oct →
train1–13-0.0530%7 Oct →
dust213–7-0.0914%7 Oct →
dust213–20.0243%6 Oct →
dust213–30.0717%6 Oct →
inferno13–110.0625%5 Oct →
dust213–40.0518%5 Oct →
dust29–13-0.0432%5 Oct →
dust29–2-0.0316%4 Oct →
inferno13–20.0419%4 Oct →
inferno11–13-0.0626%4 Oct →
cache13–50.0926%3 Oct →
nuke13–110.0732%3 Oct →
inferno8–13-0.0813%3 Oct →
inferno13–20.0125%2 Oct →
mirage13–11-0.0220%2 Oct →
dust213–90.0028%2 Oct →
nuke5–13-0.0350%2 Oct →
dust213–9-0.0023%1 Oct →
dust213–110.0118%1 Oct →
overpass13–70.0219%1 Oct →
mirage13–16-0.0519%1 Oct →
inferno13–30.0716%1 Oct →
ancient13–3-0.0812%1 Oct →
dust213–7-0.0229%1 Oct →
dust213–5-0.0047%30 Sept →
cache0–11-0.0430%30 Sept →
dust26–13-0.0338%29 Sept →
inferno9–13-0.0121%29 Sept →
dust213–10-0.0226%29 Sept →
cache13–7-0.058%29 Sept →
dust214–16-0.0224%28 Sept →
dust29–130.0213%28 Sept →
anubis13–9-0.1019%27 Sept →
mirage2–13-0.0819%27 Sept →
dust213–8-0.0117%27 Sept →
anubis13–5-0.0421%27 Sept →
mirage13–6-0.0120%26 Sept →
nuke13–30.0123%26 Sept →
dust213–11-0.0831%26 Sept →
inferno13–100.0230%26 Sept →
inferno12–120.0224%24 Sept →
dust212–12-0.0219%24 Sept →
dust213–6-0.0226%24 Sept →
dust213–9-0.0131%23 Sept →
dust211–6-0.0542%22 Sept →
dust213–10-0.0620%22 Sept →
inferno13–40.0031%22 Sept →
anubis13–50.0120%19 Sept →
dust213–40.0629%19 Sept →
cache1–13-0.0226%19 Sept →
dust211–13-0.0527%19 Sept →
inferno13–70.0137%17 Sept →
anubis13–40.0224%17 Sept →
dust213–8-0.0130%15 Sept →
dust213–8-0.0319%14 Sept →
dust212–12-0.0122%14 Sept →
dust25–13-0.0319%12 Sept →
inferno13–11-0.0327%11 Sept →
dust213–90.0626%11 Sept →
ancient13–70.0127%11 Sept →
ancient12–12-0.0223%11 Sept →
dust213–10.0744%11 Sept →
dust210–130.0240%8 Sept →
train13–60.0329%8 Sept →
cache7–130.0022%5 Sept →
ancient13–4-0.0227%4 Sept →
dust28–20.1538%4 Sept →
inferno13–11-0.0124%31 Aug →
dust21–13-0.0833%31 Aug →
ancient13–90.0321%22 Aug →
ancient8–130.0115%22 Aug →
inferno7–0-0.0240%22 Aug →
cache4–13-0.0336%22 Aug →
dust213–100.0111%21 Aug →
dust216–140.0128%21 Aug →
dust211–13-0.0430%16 Aug →
ancient6–13-0.0327%12 Aug →
cache13–8-0.0227%12 Aug →
dust210–13-0.0221%9 Aug →
cache13–40.0126%9 Aug →
cache13–6-0.0413%9 Aug →
dust213–30.1030%9 Aug →
inferno13–10.0325%4 Aug →

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 →

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