Fanta

Fanta — CS2 Stats

NG76561198224521712[U:1:264255984]Steam profile ↗✓ No bans

690Tracked matches57%Win rate2020Tracked since
1,793Hours in CS
CSDB Rating6.7 SolidSupport
Premier CS Rating23,803Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#35013 of 261544 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (67 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,803 → 23,803
+5Tracked matches · now 690
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Premier CS Rating: 23,803 -3,155 31 Jan – 8 Sept · 25 days played
23,09927,457peak 27,45731 Jan8 Sept
27,700Peak Premier in tracked matches
29Days played since 2026-01-31

Premier CS Rating

  • 3,654 below peak (27,457)
  • -371 over 30 days · steady
  • Next: Red band at 25,000 — 1,197 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate36.0%46.9%49.3%13.3% short
Shot accuracy14.0%13.0%13.4%above
Kill/death ratio1.071.081.120.05 short
Match win rate44.0%46.7%48.5%4.5% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFantaPREMIER23,803 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning48
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWWLWWLWWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −17.5pp headshot accuracy · +63ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 523ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 592ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 561ms

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 (+1.9 against its own average).

Aim8.4
Utility6.7
Positioning4.8
Opening Duels3.6
Clutch4.2

Effective flashes

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 563ms 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

Aim8.4
Positioning4.8
Utility6.7
Mechanics7.3
Opening Duels2.4
Win Impact7.2

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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time572ms−13ms
first ⅓ avg 585ms → last ⅓ avg 572ms
Headshot accuracy23.8%+6.1%
first ⅓ avg 17.7% → last ⅓ avg 23.8%

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

0.20Best match rating · 13–3 · dust2, 5 Aug →
100%Best headshot accuracy · 2–6 · nuke, 19 Aug →
391msFastest reaction time · 11–13 · mirage, 23 Aug →
13–1Biggest win · inferno, 7 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 56% over 9nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3819–1950%0.01
mirageC2310–1343%-0.01
infernoB126–650%-0.02
cacheB115–645%0.00
ancientA95–456%-0.01
nukeD62–433%0.03
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,118Lifetime kills
1.07K/D
4,761Matches
44.0%Match win rate
36.0%Headshot %
14.0%Shot accuracy · Top 50% of Pink band
12,869MVPs
1,793Hours (in match)
2,412Bombs planted
983Bombs defused

Most-used weapons

AWP29,174
AK-4722,481
SSG 082,444
P901,777
P2501,730
Knife1,249

Lifetime map wins

15,280dust2
4,617inferno
920nuke
780vertigo
736train
581cbble
160lake
154office

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

Faceit stats

Combat

140Matches
62%Win rate
1.23Avg K/D
82.6ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2969%1.1715.7
Dust22250%1.3716.7
Inferno1662%1.3016.8
Vertigo1070%1.1515.3
Anubis580%0.9916.0
Nuke250%0.7512.0
Ancient20%0.7512.5
Cache2100%1.9417.5

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.

23.0%Headshot accuracy
33.9%Accuracy (enemy spotted)
39.5%Spray accuracy
82.8%Counter-strafing
7.7°Preaim
563msReaction time
33.2%T opening success
45.7%CT opening success
0.71Enemies flashed / flash
8.3%Flash assists
8.23HE damage / grenade
19.15Flashes / 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 33.1771% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0617%2 Sept →
dust213–11-0.0316%2 Sept →
dust24–13-0.0114%1 Sept →
cache13–50.0011%1 Sept →
dust213–50.0512%1 Sept →
mirage4–13-0.0340%25 Aug →
dust213–30.0622%25 Aug →
ancient4–3-0.0120%25 Aug →
mirage11–13-0.0514%23 Aug →
dust20–13-0.120%23 Aug →
dust216–140.0217%23 Aug →
ancient6–130.0431%23 Aug →
nuke2–6-0.01100%19 Aug →
mirage16–13-0.0232%16 Aug →
mirage7–13-0.0714%15 Aug →
cache9–13-0.0238%15 Aug →
dust213–110.0424%15 Aug →
dust213–100.0120%13 Aug →
cache8–13-0.0125%9 Aug →
mirage3–13-0.1040%9 Aug →
dust213–40.1216%8 Aug →
mirage13–8-0.0218%7 Aug →
inferno13–10.0422%7 Aug →
mirage13–8-0.0327%7 Aug →
ancient2–13-0.0614%6 Aug →
cache13–100.0127%6 Aug →
mirage9–13-0.0127%6 Aug →
dust216–13-0.0120%6 Aug →
mirage13–50.0619%6 Aug →
cache3–13-0.0832%5 Aug →
nuke8–130.0421%5 Aug →
cache11–130.0418%5 Aug →
inferno13–10-0.0020%5 Aug →
dust213–30.2030%5 Aug →
dust213–8-0.0718%5 Aug →
dust25–130.0130%5 Aug →
cache13–40.0039%4 Aug →
inferno13–70.0331%4 Aug →
inferno13–80.0115%2 Aug →
dust211–130.0429%2 Aug →
mirage13–50.0822%2 Aug →
dust28–130.0921%2 Aug →
mirage13–9-0.0333%2 Aug →
mirage6–13-0.0832%2 Aug →
dust29–13-0.0317%1 Aug →
dust213–90.0019%1 Aug →
cache13–30.1325%1 Aug →
mirage13–50.0920%1 Aug →
cache13–110.0043%30 Jul →
dust212–16-0.0113%30 Jul →
inferno13–40.0414%30 Jul →
cache0–13-0.0642%28 Jul →
dust211–130.0325%28 Jul →
dust213–10-0.0016%28 Jul →
dust29–13-0.0015%4 May →
cache7–130.0423%4 May →
mirage8–13-0.0216%15 Feb →
nuke6–130.0128%15 Feb →
dust25–130.0024%15 Feb →
ancient10–13-0.0612%15 Feb →
dust29–130.0719%15 Feb →
mirage5–13-0.0615%15 Feb →
inferno11–130.0119%15 Feb →
dust25–130.0226%15 Feb →
mirage16–14-0.0113%15 Feb →
dust216–13-0.0220%11 Feb →
inferno13–9-0.0224%11 Feb →
dust213–40.0531%11 Feb →
dust215–15-0.0520%11 Feb →
mirage13–100.0729%10 Feb →
inferno0–4-0.0417%10 Feb →
inferno7–13-0.0635%9 Feb →
mirage4–13-0.0632%9 Feb →
dust215–15-0.0316%9 Feb →
dust212–160.0018%9 Feb →
ancient16–13-0.0113%9 Feb →
overpass16–12-0.0319%8 Feb →
inferno5–9-0.1417%8 Feb →
nuke9–70.1521%8 Feb →
mirage12–160.0311%4 Feb →
dust213–100.0218%4 Feb →
inferno5–13-0.015%4 Feb →
ancient13–70.0314%4 Feb →
mirage1–13-0.050%3 Feb →
nuke4–13-0.039%3 Feb →
ancient13–60.0221%3 Feb →
mirage13–40.0028%3 Feb →
inferno4–13-0.0413%3 Feb →
dust23–13-0.0310%2 Feb →
mirage11–13-0.048%2 Feb →
dust213–60.0423%2 Feb →
ancient0–13-0.0413%2 Feb →
dust29–130.0314%2 Feb →
ancient13–80.0318%1 Feb →
dust213–90.018%1 Feb →
mirage10–130.0314%1 Feb →
dust23–130.0324%1 Feb →
nuke16–140.0424%1 Feb →
dust213–90.036%1 Feb →
dust23–130.0435%31 Jan →

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 →

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