Spasfon DanleFion

Spasfon DanleFion — CS2 Stats

XK76561199249550686[U:1:1289284958]Steam profile ↗✓ No bans

2,750Tracked matches41%Win rate2022Tracked since
1,463Hours in CS
CSDB Rating3.3 LearningPositional Player
Premier CS Rating13,726Blue band · top ~35.1% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 13,726 -1,881 25 Jul – 13 Nov · 34 days played
13,72616,901peak 16,90125 Jul13 Nov
16,901Peak Premier in tracked matches
40Days played since 2026-07-25

Premier CS Rating

  • 3,175 below peak (16,901)
  • -815 over 30 days · declining
  • -2,158 over 90 days
  • Next: Purple band at 15,000 — 1,274 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-18
  • Blue band first seen 2026-09-18

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 Level 3 among CSDB-tracked players (n=10,677), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.9%41.8%42.7%3.8% short
Shot accuracy4.8%12.2%11.2%6.4% short
Kill/death ratio0.780.980.990.21 short
Match win rate35.5%43.3%43.9%8.4% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpasfon DanleFionFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,726 · Blue 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

Aim31
Positioning46
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLWLWLWWLWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · −5.2pp headshot accuracy · −15ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 589ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 642ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 649ms

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 (+1.8 against its own average).

Aim3.1
Utility3.6
Positioning4.6
Opening Duels1.0
Clutch1.8

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 69% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 56% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 654ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.1
Positioning4.6
Utility3.6
Mechanics3.8
Opening Duels3.2
Win Impact2.1

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time643ms−31ms
first ⅓ avg 674ms → last ⅓ avg 643ms
Headshot accuracy17.6%−0.7%
first ⅓ avg 18.3% → last ⅓ avg 17.6%

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

0.10Best match rating · 13–4 · nuke, 10 Nov →
43%Best headshot accuracy · 8–13 · dust2, 1 Nov →
406msFastest reaction time · 7–13 · inferno, 30 Aug →
13–2Biggest win · cache, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 58% over 12mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C229–1341%-0.03
infernoB1910–953%-0.02
nukeC177–1041%-0.03
cacheA127–558%-0.01
anubisB115–645%-0.04
ancientB84–450%-0.02
mirageD61–517%-0.04
office—20–20%-0.09
vertigo—21–150%0.06
train—10–10%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,728Lifetime kills
0.78K/D
5,198Matches
35.5%Match win rate
38.9%Headshot %
4.8%Shot accuracy
6,088MVPs
1,463Hours (in match)
4,768Bombs planted
618Bombs defused

Most-used weapons

AK-4714,804
AWP6,512
MP93,025
MAC-102,671
P902,552

Lifetime map wins

10,730dust2
3,977inferno
3,415nuke
1,693vertigo
937train
484office
109ar_shoots
100lake

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

Faceit stats

Combat

48Matches
42%Win rate
0.75Avg K/D
68.3ADR
48%Headshot %

Clutches & streaks

29%1v1 clutch win
9%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21450%0.8514.9
Cache1242%0.7912.3
Nuke862%0.7413.8
Ancient633%0.6210.5
Mirage30%0.7212.3
Inferno30%0.609.7
Vertigo1100%0.6911.0
Anubis10%0.193.0

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.

17.0%Headshot accuracy
28.8%Accuracy (enemy spotted)
32.8%Spray accuracy
67.2%Counter-strafing
12.7°Preaim
654msReaction time
55.7%T opening success
27.5%CT opening success
0.47Enemies flashed / flash
5.1%Flash assists
8.65HE damage / grenade
4.47Flashes / 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 12.6577° — above the 12° mark we flag

    Aim Training →
  2. 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 0.4696 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0131%13 Nov →
dust213–9-0.0319%13 Nov →
nuke7–130.0012%13 Nov →
inferno13–5-0.0215%12 Nov →
inferno12–16-0.0218%10 Nov →
nuke13–40.1020%10 Nov →
dust213–11-0.0413%10 Nov →
cache8–13-0.0119%10 Nov →
dust213–70.0212%8 Nov →
dust213–11-0.0715%8 Nov →
dust211–13-0.0522%8 Nov →
inferno14–16-0.0213%1 Nov →
inferno13–60.0132%1 Nov →
nuke5–13-0.0916%1 Nov →
dust28–13-0.1143%1 Nov →
mirage6–13-0.0712%1 Nov →
office1–13-0.1040%1 Nov →
office4–13-0.0822%31 Oct →
cache13–2-0.0214%24 Oct →
anubis13–7-0.0211%24 Oct →
cache12–12-0.0312%22 Oct →
cache5–13-0.094%22 Oct →
nuke5–9-0.165%18 Oct →
inferno8–80.0130%18 Oct →
inferno9–60.0524%18 Oct →
nuke13–11-0.0114%17 Oct →
inferno13–7-0.0917%16 Oct →
inferno10–13-0.1013%16 Oct →
inferno13–6-0.0211%11 Oct →
nuke10–13-0.0413%9 Oct →
mirage14–16-0.0411%9 Oct →
nuke10–13-0.1110%9 Oct →
mirage10–130.0316%3 Oct →
cache13–70.0317%3 Oct →
dust24–13-0.0618%3 Oct →
nuke13–16-0.0613%27 Sept →
anubis9–13-0.119%27 Sept →
ancient13–4-0.0113%27 Sept →
nuke13–10-0.0011%21 Sept →
ancient6–13-0.0816%21 Sept →
anubis15–15-0.0414%20 Sept →
inferno11–13-0.0825%20 Sept →
anubis13–2-0.0517%20 Sept →
cache13–110.0121%19 Sept →
cache13–50.0510%19 Sept →
dust22–13-0.0122%19 Sept →
ancient13–70.0612%19 Sept →
cache13–10-0.0418%19 Sept →
inferno7–9-0.0113%19 Sept →
mirage7–13-0.0313%13 Sept →
anubis10–13-0.0620%13 Sept →
dust216–12-0.0518%13 Sept →
dust29–13-0.0315%12 Sept →
ancient9–2-0.0320%12 Sept →
nuke13–20.0719%12 Sept →
dust29–13-0.0319%12 Sept →
nuke13–11-0.029%12 Sept →
inferno4–130.0412%11 Sept →
mirage13–7-0.0723%11 Sept →
nuke10–13-0.0418%6 Sept →
inferno13–100.0119%6 Sept →
dust213–90.0218%5 Sept →
cache16–130.0419%5 Sept →
cache12–12-0.064%30 Aug →
cache7–130.0221%30 Aug →
inferno7–13-0.0613%30 Aug →
anubis6–13-0.076%29 Aug →
nuke10–13-0.0123%28 Aug →
dust213–50.0713%28 Aug →
nuke13–11-0.0121%28 Aug →
dust26–130.0017%20 Aug →
train4–13-0.0717%17 Aug →
dust25–13-0.0128%17 Aug →
inferno15–15-0.0614%16 Aug →
ancient12–16-0.0320%16 Aug →
dust24–130.009%8 Aug →
dust210–13-0.0523%8 Aug →
nuke8–13-0.079%7 Aug →
anubis16–14-0.0415%7 Aug →
dust213–10-0.0114%6 Aug →
nuke13–6-0.0611%6 Aug →
ancient13–5-0.0314%5 Aug →
inferno13–7-0.0220%5 Aug →
mirage10–13-0.048%3 Aug →
cache13–11-0.0322%2 Aug →
anubis13–60.0516%2 Aug →
dust21–13-0.0815%2 Aug →
inferno13–10-0.0422%2 Aug →
dust214–16-0.0525%1 Aug →
nuke11–13-0.0515%1 Aug →
ancient12–16-0.0615%1 Aug →
ancient8–13-0.0015%1 Aug →
inferno13–3-0.0020%31 Jul →
vertigo7–130.0518%31 Jul →
vertigo13–90.0734%29 Jul →
anubis13–11-0.0726%28 Jul →
dust213–90.0222%28 Jul →
anubis3–130.0142%28 Jul →
anubis14–16-0.067%25 Jul →
inferno16–14-0.0115%25 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.