12 year old talent

12 year old talent — CS2 Stats

AU76561198930188253[U:1:969922525]Steam profile ↗✓ No bans

1,994Tracked matches39%Win rate2020Tracked since
3,126Hours in CS9Hrs last 2 wks
CSDB Rating3.1 LearningClutch Specialist
FaceitLevel 5 · 1,046 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,046 → 1,046
+42Tracked matches · now 1,994
−3.6ppWin rate · 42.9% → 39.3%

Rating over time

Faceit ELO: 1,046 +0 2 Sept – 21 Sept · 4 observations
1,0461,046peak 1,0462 Sept21 Sept
1,046Highest Faceit ELO seen on CSDB
37Days played since 2026-08-20

Faceit ELO

  • At peak — 1,046
  • Next: Level 5 at 1,051 — 5 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-02
  • Level 3 first seen 2026-09-02

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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,276), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate51.6%43.8%44.8%above
Shot accuracy6.3%12.0%12.4%6.2% short
Kill/death ratio1.061.021.03above
Match win rate42.6%44.7%45.2%2.7% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG12 year old talentFACEITLevel 5 · 1,046 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,046csdb.gg/stats

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Performance scores

Aim47
Positioning30
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLWLWWLWLLT

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +6.0pp headshot accuracy · +13ms reaction

Win rate up 20pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 22%
  • Avg reaction 728ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 682ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 676ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.1 against its own average).

Aim4.7
Utility2.7
Positioning3.0
Opening Duels0.0
Clutch3.4

Limited utility dependence

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 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 658ms 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

Aim4.7
Positioning3.0
Utility2.7
Mechanics5.6
Opening Duels0.0
Win Impact1.4

Composite 3.1/10 (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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time663ms+86ms
first ⅓ avg 576ms → last ⅓ avg 663ms
Headshot accuracy16.1%+0.0%
first ⅓ avg 16.1% → last ⅓ avg 16.1%

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

0.13Best match rating · 10–13 · dust2, 7 Sept →
32%Best headshot accuracy · 9–13 · dust2, 31 Aug →
406msFastest reaction time · 11–13 · ancient, 1 Sept →
13–1Biggest win · mirage, 17 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 60% over 10nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC2310–1343%-0.00
dust2D196–1332%-0.03
infernoB147–750%-0.03
ancientA106–460%-0.00
anubisC94–544%-0.04
cacheA95–456%-0.04
nukeD71–614%-0.03
train—42–250%-0.04
vertigo—31–233%-0.01
office—10–10%-0.06
shelter—11–0100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,244Lifetime kills
1.06K/D · Top 50% of Level 5 players
3,618Matches
42.6%Match win rate
51.6%Headshot % · Top 25% of Level 5 players
6.3%Shot accuracy
6,619MVPs
1,412Hours (in match)
4,734Bombs planted
1,064Bombs defused

Most-used weapons

AK-4733,420
MP92,505
MAC-101,186
MP71,167
Knife897

Lifetime map wins

6,848dust2
4,155inferno
3,308nuke
2,435vertigo
852train
269cbble
229office
37lake

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

Faceit stats

Combat

684Matches
48%Win rate
0.98Avg K/D
71.3ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage15348%0.9512.9
Ancient11945%0.9013.3
Dust211649%1.0913.6
Inferno11252%0.9814.0
Anubis7051%0.9613.5
Vertigo5648%1.1213.7
Nuke4144%0.9914.8
Train1331%0.7010.9

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.

15.4%Headshot accuracy
29.9%Accuracy (enemy spotted)
36.8%Spray accuracy
75.3%Counter-strafing
10.2°Preaim
658msReaction time
17.7%T opening success
18.2%CT opening success
0.32Enemies flashed / flash
4.1%Flash assists
8.03HE damage / grenade
2.41Flashes / 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 0.3218 — 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 17.7205% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.0619%24 Oct →
cache13–6-0.1029%24 Oct →
vertigo3–13-0.0915%23 Oct →
cache13–11-0.0324%23 Oct →
cache13–11-0.0224%21 Oct →
mirage6–13-0.025%21 Oct →
ancient13–7-0.1110%21 Oct →
dust27–13-0.0619%21 Oct →
inferno5–13-0.0018%16 Oct →
mirage12–12-0.0220%16 Oct →
cache10–2-0.059%16 Oct →
anubis3–13-0.0114%16 Oct →
anubis5–13-0.088%16 Oct →
train2–13-0.0330%10 Oct →
mirage2–13-0.0519%10 Oct →
train13–8-0.066%9 Oct →
dust212–12-0.0515%9 Oct →
ancient9–130.0410%9 Oct →
inferno11–13-0.0413%9 Oct →
mirage6–13-0.050%4 Oct →
nuke7–13-0.0430%4 Oct →
train8–13-0.0430%3 Oct →
inferno10–13-0.0713%3 Oct →
dust213–9-0.0216%3 Oct →
dust213–30.0514%3 Oct →
mirage13–10-0.046%1 Oct →
inferno13–6-0.0410%29 Sept →
dust211–13-0.0510%29 Sept →
mirage6–13-0.009%29 Sept →
mirage13–100.0116%28 Sept →
nuke12–12-0.0923%28 Sept →
inferno6–13-0.0622%28 Sept →
dust24–13-0.0625%28 Sept →
mirage13–50.0816%25 Sept →
anubis13–11-0.055%25 Sept →
cache13–100.0120%24 Sept →
mirage12–120.0017%24 Sept →
inferno8–13-0.0813%23 Sept →
mirage2–13-0.0917%23 Sept →
ancient13–11-0.0217%22 Sept →
dust213–5-0.0414%22 Sept →
anubis16–13-0.0216%20 Sept →
inferno13–3-0.0814%20 Sept →
ancient13–60.0610%19 Sept →
ancient11–13-0.0316%19 Sept →
anubis10–13-0.0124%19 Sept →
mirage13–50.0523%18 Sept →
dust212–12-0.0213%18 Sept →
vertigo4–130.0422%17 Sept →
mirage13–10.0413%17 Sept →
vertigo13–50.0226%17 Sept →
anubis4–13-0.0710%17 Sept →
dust216–120.0416%16 Sept →
dust210–13-0.0619%16 Sept →
inferno6–13-0.1211%16 Sept →
ancient7–13-0.0613%16 Sept →
cache10–13-0.0212%14 Sept →
train13–10-0.0321%12 Sept →
inferno13–8-0.0114%12 Sept →
mirage12–120.0422%12 Sept →
dust22–13-0.0429%12 Sept →
mirage3–13-0.0713%11 Sept →
dust29–13-0.0822%9 Sept →
mirage13–11-0.0316%9 Sept →
inferno8–13-0.068%7 Sept →
office2–13-0.066%7 Sept →
dust210–130.1319%7 Sept →
nuke13–10-0.0013%5 Sept →
mirage9–13-0.0110%4 Sept →
mirage9–13-0.0111%3 Sept →
mirage13–90.1026%3 Sept →
dust214–160.0213%3 Sept →
inferno13–30.1118%2 Sept →
mirage13–80.0819%2 Sept →
nuke4–13-0.0421%2 Sept →
dust213–7-0.0314%2 Sept →
anubis16–13-0.0112%1 Sept →
inferno13–100.0813%1 Sept →
ancient13–20.0915%1 Sept →
ancient11–130.0519%1 Sept →
dust29–13-0.0232%31 Aug →
nuke10–13-0.0621%31 Aug →
mirage2–13-0.0615%31 Aug →
ancient13–20.0113%31 Aug →
cache2–13-0.0615%31 Aug →
inferno13–9-0.0214%30 Aug →
cache9–13-0.0531%29 Aug →
mirage13–160.0423%29 Aug →
inferno13–7-0.055%28 Aug →
mirage13–11-0.0329%28 Aug →
ancient16–14-0.0717%28 Aug →
nuke15–150.0515%27 Aug →
dust24–13-0.1018%27 Aug →
shelter13–40.007%27 Aug →
cache6–13-0.0219%27 Aug →
mirage13–10-0.036%27 Aug →
anubis13–11-0.078%23 Aug →
dust26–13-0.0121%20 Aug →
nuke10–13-0.0514%20 Aug →
dust213–7-0.088%20 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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