Talxos

Talxos — CS2 Stats

US76561199066793291[U:1:1106527563]Steam profile ↗✓ No bans

1,755Tracked matches29%Win rate2024Tracked since
CSDB Rating2.4 LearningSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

+52Tracked matches · now 1,755
−9.4ppWin rate · 37.9% → 28.6%

Rating over time

Faceit ELO: 496 +0 30 Aug – 23 Sept · 4 observations
496496peak 49630 Aug23 Sept
496Highest Faceit ELO seen on CSDB
24Days played since 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGTalxosFACEITLevel 1STANDINGTop 100.0% of rankedPEAK ELO496csdb.gg/stats

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Performance scores

Aim16
Positioning31
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY33–62–5Last 10033%Win rateLLWTLLLWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · −3.3pp headshot accuracy · −35ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 623ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 637ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 655ms

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: Support — Utility contribution stands above the rest of this profile (+3.2 against its own average).

Aim1.6
Utility5.3
Positioning3.1
Opening Duels0.0
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 57% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim1.6
Positioning3.1
Utility5.3
Mechanics3.1
Opening Duels0.9
Win Impact0.0

Composite 2.4/10 (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-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time657ms−66ms
first ⅓ avg 723ms → last ⅓ avg 657ms
Headshot accuracy15.5%−3.8%
first ⅓ avg 19.3% → last ⅓ avg 15.5%

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

0.09Best match rating · 13–5 · mirage, 15 Sept →
50%Best headshot accuracy · 6–8 · rush_001, 30 Sept →
453msFastest reaction time · 7–13 · mirage, 15 Oct →
13–1Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–6In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 54% over 13cacheWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
ancientC176–1135%-0.06
mirageD165–1131%-0.05
dust2D155–1033%-0.06
infernoC145–936%-0.05
nukeB137–654%-0.06
vertigoC114–736%-0.08
cacheD60–60%-0.09
anubis—41–325%-0.07
train—20–20%-0.04
rush_001—20–20%-0.12

Across the last 100 tracked matches.

Faceit stats

Combat

3Matches
0%Win rate
0.44Avg K/D
47.7ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.397.0
Nuke10%0.8214.0
Mirage10%0.122.0

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.

14.8%Headshot accuracy
23.1%Accuracy (enemy spotted)
23.6%Spray accuracy
63.8%Counter-strafing
12.2°Preaim
649msReaction time
37.3%T opening success
26.2%CT opening success
0.63Enemies flashed / flash
4.9%Flash assists
10.63HE damage / grenade
7.47Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2001° — above the 12° mark we flag

    Aim Training →
  2. 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 14.8361% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0813%19 Oct →
mirage7–13-0.037%19 Oct →
inferno13–110.0019%17 Oct →
mirage12–12-0.056%17 Oct →
mirage7–13-0.0831%15 Oct →
ancient10–13-0.0716%15 Oct →
dust29–13-0.0810%15 Oct →
inferno13–2-0.016%15 Oct →
nuke13–5-0.019%15 Oct →
ancient13–10-0.0422%15 Oct →
inferno8–13-0.0529%14 Oct →
vertigo10–13-0.0812%14 Oct →
train5–13-0.0135%8 Oct →
nuke8–13-0.0724%6 Oct →
mirage11–13-0.0813%6 Oct →
cache8–13-0.0819%6 Oct →
inferno4–13-0.1118%6 Oct →
dust22–13-0.126%6 Oct →
cache10–13-0.149%5 Oct →
nuke13–5-0.065%5 Oct →
mirage4–13-0.0617%5 Oct →
dust29–6-0.0217%5 Oct →
nuke8–13-0.0314%3 Oct →
rush_0017–8-0.100%30 Sept →
rush_0016–8-0.1450%30 Sept →
ancient10–13-0.087%30 Sept →
anubis8–13-0.0819%30 Sept →
ancient13–2-0.057%29 Sept →
nuke13–8-0.0715%29 Sept →
dust212–12-0.065%29 Sept →
mirage9–13-0.0823%29 Sept →
inferno2–11-0.1011%29 Sept →
mirage13–7-0.0319%28 Sept →
cache12–12-0.0626%28 Sept →
nuke13–5-0.088%28 Sept →
inferno13–5-0.0510%28 Sept →
vertigo6–13-0.1118%28 Sept →
dust213–8-0.0320%28 Sept →
ancient3–13-0.1124%28 Sept →
inferno3–4-0.0527%26 Sept →
vertigo5–13-0.0721%26 Sept →
ancient8–13-0.0619%26 Sept →
dust24–13-0.1215%26 Sept →
nuke8–0-0.1413%25 Sept →
inferno13–10.0429%25 Sept →
cache5–13-0.0822%25 Sept →
ancient9–13-0.0642%25 Sept →
vertigo9–13-0.0514%24 Sept →
inferno11–13-0.0410%24 Sept →
mirage2–13-0.0922%24 Sept →
ancient9–13-0.0719%24 Sept →
nuke13–3-0.0217%24 Sept →
ancient12–12-0.0615%23 Sept →
vertigo7–13-0.0918%23 Sept →
nuke3–4-0.0820%23 Sept →
anubis13–4-0.0412%23 Sept →
nuke4–13-0.084%22 Sept →
inferno7–13-0.1012%22 Sept →
anubis4–13-0.0910%22 Sept →
mirage4–13-0.0930%22 Sept →
dust213–10-0.0418%22 Sept →
ancient8–13-0.0827%18 Sept →
dust25–13-0.0920%18 Sept →
cache1–13-0.0816%17 Sept →
vertigo0–13-0.0740%17 Sept →
dust210–13-0.0719%17 Sept →
ancient6–13-0.0415%17 Sept →
ancient2–00.010%17 Sept →
ancient13–5-0.0434%16 Sept →
dust25–13-0.1423%16 Sept →
vertigo13–7-0.0913%16 Sept →
inferno13–11-0.098%16 Sept →
anubis1–13-0.0818%16 Sept →
train7–13-0.0621%15 Sept →
mirage13–50.0916%15 Sept →
dust213–9-0.0512%15 Sept →
inferno9–13-0.0739%15 Sept →
ancient13–100.0222%14 Sept →
dust24–130.0423%14 Sept →
mirage3–13-0.0528%14 Sept →
mirage13–6-0.0326%14 Sept →
vertigo13–10-0.0820%14 Sept →
ancient13–9-0.1016%14 Sept →
vertigo6–2-0.080%14 Sept →
mirage10–6-0.0326%14 Sept →
inferno12–12-0.1012%14 Sept →
dust25–13-0.0925%14 Sept →
ancient5–13-0.087%13 Sept →
inferno7–13-0.0328%13 Sept →
nuke7–13-0.0418%13 Sept →
dust213–11-0.0710%13 Sept →
vertigo13–11-0.0514%13 Sept →
cache5–13-0.1019%12 Sept →
vertigo4–13-0.0821%12 Sept →
mirage13–11-0.1115%12 Sept →
dust23–130.0124%12 Sept →
nuke13–8-0.0033%12 Sept →
mirage6–13-0.0510%11 Sept →
nuke4–13-0.0818%11 Sept →
ancient10–13-0.0539%11 Sept →

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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