Don

Don — CS2 Stats

76561198817607158[U:1:857341430]Steam profile ↗✓ No bans

3,789Tracked matches48%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
Premier CS Rating7,296Light Blue band · top ~67.8% of ranked players (population est.)
FaceitLevel 3 · 1,002 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (11 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: 7,296 -229 22 Aug – 8 Oct · 20 days played
6,3088,124peak 8,12422 Aug8 Oct
8,321Peak Premier in tracked matches
1,002Highest Faceit ELO seen on CSDB
33Days played since 2026-08-22

Faceit ELO

  • At peak — 1,002
  • Next: Level 5 at 1,051 — 49 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-26
  • Level 3 first seen 2026-09-26

Premier CS Rating

  • 828 below peak (8,124)
  • -667 over 30 days · declining
  • Next: Blue band at 10,000 — 2,704 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGDonFACEITLevel 3 · 1,002 ELOSTANDINGTop 90.6% of rankedPREMIER7,296 · Light Blue bandPEAK ELO1,002csdb.gg/stats

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Performance scores

Aim38
Positioning57
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY41–58–1Last 10041%Win rateLLWLWLLWWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +5.1pp headshot accuracy · −49ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 537ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 534ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 558ms

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 (+2.5 against its own average).

Aim3.8
Utility7.5
Positioning5.7
Opening Duels3.0
Clutch3.8

Strong CT-side openerHigh utility contribution

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

ZywOo

Plays most like ZywOo 54% 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

Counter-strafing. Only 65% 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

Aim3.8
Positioning5.7
Utility7.5
Mechanics3.4
Opening Duels5.0
Win Impact4.4

Composite 4.4/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time556ms+6ms
first ⅓ avg 550ms → last ⅓ avg 556ms
Headshot accuracy14.6%−2.8%
first ⅓ avg 17.4% → last ⅓ avg 14.6%

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

0.13Best match rating · 13–6 · dust2, 7 Oct →
39%Best headshot accuracy · 6–13 · ancient, 28 Sept →
383msFastest reaction time · 4–13 · inferno, 14 Oct →
13–0Biggest win · nuke, 20 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
12–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 70% over 10infernoWeakest map · 17% over 18
MapGradePlayedRecordWin rateAvg rating
ancientC2712–1544%-0.02
dust2B2211–1150%-0.00
infernoD183–1517%-0.02
nukeB157–847%-0.02
anubisS107–370%-0.01
cache—40–40%-0.05
mirage—41–325%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

597Matches
48%Win rate
1.02Avg K/D
73.8ADR
35%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient15253%1.0614.8
Dust211744%1.0315.1
Inferno11650%0.9514.8
Anubis8848%1.0715.1
Nuke6745%1.0014.4
Mirage1436%0.709.9
Train1362%1.4817.1
Vertigo560%1.4413.4

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.

14.4%Headshot accuracy
27.9%Accuracy (enemy spotted)
29.2%Spray accuracy
65.5%Counter-strafing
10.9°Preaim
542msReaction time
47.3%T opening success
53.0%CT opening success
0.70Enemies flashed / flash
8.4%Flash assists
10.38HE damage / grenade
21.90Flashes / 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. 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 14.3515% — below the 15% mark we flag

    Aim Training →
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.

17% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–130.0521%14 Oct →
anubis9–130.0312%14 Oct →
dust213–11-0.0116%14 Oct →
dust210–13-0.0027%14 Oct →
anubis13–60.005%14 Oct →
inferno4–130.0225%14 Oct →
inferno6–13-0.0522%14 Oct →
nuke13–10-0.0320%11 Oct →
anubis13–10-0.0713%11 Oct →
anubis13–11-0.0512%10 Oct →
dust213–5-0.0212%10 Oct →
cache11–13-0.0511%10 Oct →
nuke17–190.005%10 Oct →
anubis13–110.0313%10 Oct →
ancient11–13-0.0016%10 Oct →
nuke13–5-0.077%9 Oct →
nuke13–10-0.0111%9 Oct →
cache2–13-0.0620%9 Oct →
dust210–130.0819%9 Oct →
ancient13–80.018%9 Oct →
dust29–130.0211%8 Oct →
inferno11–13-0.0324%8 Oct →
dust213–60.1310%7 Oct →
ancient15–15-0.039%6 Oct →
ancient13–6-0.0218%5 Oct →
ancient1–13-0.0524%5 Oct →
ancient10–13-0.0617%5 Oct →
ancient13–5-0.0315%5 Oct →
nuke13–11-0.019%3 Oct →
cache5–13-0.0513%3 Oct →
ancient13–100.0221%3 Oct →
ancient5–13-0.0413%3 Oct →
nuke8–13-0.078%3 Oct →
inferno6–13-0.086%3 Oct →
ancient9–13-0.0219%3 Oct →
inferno13–60.019%2 Oct →
ancient13–9-0.0219%2 Oct →
inferno6–130.0127%2 Oct →
mirage7–13-0.0310%1 Oct →
cache8–13-0.0421%1 Oct →
ancient16–19-0.067%30 Sept →
nuke12–16-0.0015%29 Sept →
ancient10–13-0.0614%29 Sept →
nuke13–11-0.0315%28 Sept →
ancient6–13-0.0439%28 Sept →
dust213–3-0.026%23 Sept →
inferno11–130.057%22 Sept →
ancient13–90.0023%22 Sept →
ancient5–13-0.0514%20 Sept →
nuke13–0-0.034%20 Sept →
dust213–110.0314%20 Sept →
dust29–13-0.0317%20 Sept →
anubis3–13-0.0610%18 Sept →
ancient13–7-0.0120%18 Sept →
mirage11–130.0617%16 Sept →
inferno12–16-0.0214%16 Sept →
dust27–13-0.0614%16 Sept →
nuke13–5-0.0414%13 Sept →
ancient13–10-0.0418%13 Sept →
inferno16–140.0221%13 Sept →
dust213–110.0120%13 Sept →
ancient13–4-0.0114%13 Sept →
ancient10–13-0.0317%13 Sept →
nuke6–130.0117%12 Sept →
dust29–13-0.0615%12 Sept →
inferno8–130.0114%12 Sept →
dust25–13-0.029%12 Sept →
anubis13–80.0518%11 Sept →
ancient4–13-0.0617%10 Sept →
inferno8–13-0.0512%10 Sept →
ancient4–13-0.0218%9 Sept →
inferno3–13-0.0715%9 Sept →
ancient16–14-0.025%9 Sept →
inferno11–13-0.0515%9 Sept →
dust28–130.0221%9 Sept →
inferno13–11-0.059%8 Sept →
inferno11–13-0.0222%7 Sept →
nuke12–16-0.058%7 Sept →
ancient13–11-0.0317%7 Sept →
anubis16–120.0621%7 Sept →
dust213–00.0421%7 Sept →
mirage13–80.0924%7 Sept →
nuke13–160.0417%6 Sept →
inferno6–13-0.0018%6 Sept →
ancient13–110.038%5 Sept →
dust29–13-0.0326%4 Sept →
dust219–160.0415%4 Sept →
dust213–10-0.0527%3 Sept →
nuke10–130.0416%3 Sept →
dust25–13-0.098%2 Sept →
inferno4–13-0.1331%2 Sept →
ancient6–13-0.0517%23 Aug →
nuke5–13-0.0621%23 Aug →
inferno9–130.0316%22 Aug →
dust216–130.0316%22 Aug →
dust213–10-0.028%22 Aug →
anubis13–8-0.014%22 Aug →
mirage8–13-0.0424%22 Aug →
anubis5–13-0.0835%22 Aug →
dust29–130.0324%22 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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