TAFLnub

TAFLnub — CS2 Stats

EE76561197996649000[U:1:36383272]Steam profile ↗✓ No bans

1,134Tracked matches70%Win rate2020Tracked since
2,559Hours in CS
CSDB Rating6.7 SolidAll-Rounder
Premier CS Rating23,055Top 25% of 209,427 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#42264 of 256773 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (6 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: 23,055 -2,825 25 Jun – 17 Oct · 26 days played
20,62226,274peak 26,27425 Jun17 Oct
26,274Peak Premier in tracked matches
28Days played since 2026-06-25

Premier CS Rating

  • 3,219 below peak (26,274)
  • -1,638 over 30 days · declining
  • +620 over 90 days
  • Next: Red band at 25,000 — 1,945 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches7——
Win rate43%——
K/D0.87——
Headshot %40%——

Measured 20 Sep 2026 → 23 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 10 median
Headshot rate43.4%50.9%
Shot accuracy15.2%13.7%
Kill/death ratio1.111.09
Match win rate49.8%48.4%

Share this profile

CSDB.GGTAFLnubFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER23,055 · Pink bandcsdb.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

Aim65
Positioning71
Utility61

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateWWWLLWWWLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −6.9pp headshot accuracy · +35ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 520ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 528ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 511ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.5
Utility6.1
Positioning7.1
Opening Duels6.0

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

donk

Plays most like donk 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim6.5
Positioning7.1
Utility6.1
Mechanics5.3
Opening Duels4.5
Win Impact10.0

Composite 6.7/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time555ms−59ms
first ⅓ avg 615ms → last ⅓ avg 555ms
Headshot accuracy17.7%−0.2%
first ⅓ avg 18.0% → last ⅓ avg 17.7%

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 · 13–3 · ancient, 11 Sept →
42%Best headshot accuracy · 1–4 · ancient, 4 Jul →
344msFastest reaction time · 4–13 · dust2, 5 Sept →
13–3Biggest win · ancient, 11 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
7–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 58% over 12infernoWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
nukeA2112–957%0.01
infernoC218–1338%-0.00
ancientA127–558%-0.00
dust2B115–645%0.04
anubisB115–645%0.01
mirageB105–550%-0.01
cacheB105–550%0.01
office—21–150%-0.04
train—11–0100%0.06
fachwerk—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,891Lifetime kills
1.11K/D · Top 50% of Level 10 players
4,863Matches
49.8%Match win rate · Top 50% of Level 10 players
43.4%Headshot %
15.2%Shot accuracy · Top 50% of Level 10 players
14,871MVPs
2,559Hours (in match)
7,870Bombs planted
1,219Bombs defused

Most-used weapons

AK-4734,723
AWP10,817
FAMAS3,749
P2503,410
MP92,716

Lifetime map wins

8,234inferno
6,530train
6,454dust2
4,873nuke
2,933vertigo
1,471office
778cbble
174italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
35.4%Spray accuracy
73.8%Counter-strafing
9.7°Preaim
558msReaction time
35.4%T opening success
60.8%CT opening success
0.65Enemies flashed / flash
7.6%Flash assists
8.87HE damage / grenade
6.91Flashes / 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

    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 35.441% — 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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–90.0614%17 Oct →
ancient13–60.0814%17 Oct →
nuke13–40.078%17 Oct →
inferno8–130.0213%17 Oct →
mirage4–13-0.0510%11 Sept →
inferno13–10-0.0113%11 Sept →
nuke13–40.0113%11 Sept →
ancient13–30.1924%11 Sept →
inferno8–13-0.0215%8 Sept →
cache13–70.0116%5 Sept →
fachwerk13–40.0329%5 Sept →
mirage13–90.0322%5 Sept →
dust24–13-0.0229%5 Sept →
nuke13–60.0216%5 Sept →
nuke13–110.0721%5 Sept →
inferno8–130.0520%5 Sept →
anubis13–80.1330%5 Sept →
inferno13–50.1020%4 Sept →
ancient10–13-0.065%4 Sept →
cache16–130.0619%3 Sept →
inferno13–100.0121%3 Sept →
ancient13–7-0.0426%1 Sept →
nuke13–10-0.0117%1 Sept →
nuke13–50.1428%1 Sept →
cache13–110.0419%1 Sept →
inferno0–9-0.270%30 Aug →
cache6–13-0.0023%29 Aug →
ancient13–7-0.0212%29 Aug →
inferno10–130.0018%29 Aug →
anubis13–10-0.0120%29 Aug →
dust210–130.0416%29 Aug →
inferno9–13-0.0320%29 Aug →
cache11–130.0414%29 Aug →
mirage10–130.0216%29 Aug →
dust213–110.0221%29 Aug →
inferno13–160.0311%20 Aug →
nuke10–13-0.0318%20 Aug →
anubis2–13-0.0312%20 Aug →
inferno0–13-0.0621%20 Aug →
inferno8–130.0120%14 Aug →
inferno9–13-0.078%14 Aug →
ancient13–110.0216%14 Aug →
ancient15–150.0312%11 Aug →
anubis10–13-0.0112%11 Aug →
dust26–13-0.0124%11 Aug →
cache11–13-0.0112%11 Aug →
nuke0–3-0.210%7 Aug →
cache13–7-0.0415%7 Aug →
anubis13–80.018%7 Aug →
inferno10–13-0.1019%7 Aug →
inferno13–110.0020%7 Aug →
dust213–30.1320%7 Aug →
nuke0–2-0.080%6 Aug →
dust213–70.0917%6 Aug →
anubis15–15-0.0312%6 Aug →
nuke10–130.0121%6 Aug →
mirage13–9-0.0213%3 Aug →
nuke9–130.0119%31 Jul →
dust23–13-0.0117%31 Jul →
cache13–60.0216%31 Jul →
ancient13–9-0.0315%31 Jul →
inferno13–90.1120%31 Jul →
nuke7–13-0.0326%31 Jul →
inferno13–70.0720%31 Jul →
ancient13–11-0.0713%28 Jul →
mirage13–5-0.029%28 Jul →
nuke11–13-0.0022%28 Jul →
nuke6–130.0017%27 Jul →
anubis8–130.0016%27 Jul →
mirage13–70.0113%24 Jul →
nuke13–7-0.0112%24 Jul →
ancient15–150.038%24 Jul →
anubis10–13-0.0017%24 Jul →
inferno10–13-0.0113%22 Jul →
mirage7–130.0221%21 Jul →
inferno13–70.0919%21 Jul →
nuke13–160.0116%21 Jul →
office0–5-0.080%18 Jul →
anubis13–70.1021%18 Jul →
inferno4–130.0413%18 Jul →
nuke13–30.0620%18 Jul →
dust28–130.0418%18 Jul →
ancient9–13-0.0218%18 Jul →
mirage3–13-0.0026%18 Jul →
mirage7–13-0.065%18 Jul →
nuke13–70.0218%18 Jul →
cache11–13-0.0214%18 Jul →
mirage16–120.019%17 Jul →
dust213–110.0111%17 Jul →
inferno13–100.0322%17 Jul →
nuke13–50.1121%17 Jul →
anubis13–80.0416%17 Jul →
dust213–80.0727%15 Jul →
office13–80.0115%9 Jul →
cache7–130.0217%9 Jul →
ancient1–4-0.1342%4 Jul →
dust211–130.0525%4 Jul →
nuke13–8-0.0019%1 Jul →
nuke13–50.0526%25 Jun →
anubis1–13-0.1040%25 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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