Donald

Donald — CS2 Stats

FI76561197960539353[U:1:273625]Steam profile ↗✓ No bans

2,346Tracked matches47%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating25,341Top 10% of 213,211 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#18873 of 259940 tracked
FaceitLevel 9 · 1,811 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 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: 25,341 +1,805 4 Aug – 24 Oct · 24 days played
22,04925,717peak 25,7174 Aug24 Oct
Faceit ELO: 1,811 +0 1 Sept – 20 Sept · 5 observations
1,8111,811peak 1,8111 Sept20 Sept
25,809Peak Premier in tracked matches
1,811Highest Faceit ELO seen on CSDB
43Days played since 2026-08-04

Faceit ELO

  • At peak — 1,811
  • Next: Level 10 at 2,001 — 190 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

Premier CS Rating

  • 376 below peak (25,717)
  • -88 over 30 days · steady
  • +1,805 over 90 days
  • Next: Gold band at 30,000 — 4,659 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-14
  • Pink band first seen 2026-09-01

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.GGDonaldFACEITLevel 9 · 1,811 ELOSTANDINGTop 20.7% of rankedPREMIER25,341 · Red bandPEAK ELO1,811csdb.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

Aim62
Positioning50
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWLLLWWLLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −0.2pp headshot accuracy · +36ms 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 -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 517ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 563ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 545ms

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).

Aim6.2
Utility3.7
Positioning5.0
Opening Duels0.8
Clutch3.2

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

iM

Plays most like iM 94% 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 →

CSDB Rating breakdown

Aim6.2
Positioning5.0
Utility3.7
Mechanics4.7
Opening Duels1.7
Win Impact3.9

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time544ms−31ms
first ⅓ avg 575ms → last ⅓ avg 544ms
Headshot accuracy14.5%+0.9%
first ⅓ avg 13.6% → last ⅓ avg 14.5%

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

0.11Best match rating · 13–2 · cache, 27 Aug →
28%Best headshot accuracy · 13–10 · nuke, 22 Sept →
391msFastest reaction time · 13–3 · ancient, 29 Aug →
13–2Biggest win · dust2, 27 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 63% over 16infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2411–1346%-0.03
cacheA1911–858%-0.02
nukeA1810–856%-0.01
ancientA1610–663%-0.01
anubisB137–654%-0.03
infernoD93–633%-0.00
mirage—11–0100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,171Matches
51%Win rate
0.91Avg K/D
70.3ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust221947%0.8913.9
Inferno19657%0.9514.1
Nuke17656%1.0014.5
Ancient16944%0.9415.1
Anubis13046%0.8013.1
Cache3757%0.8013.0
Train2348%0.9314.8
Overpass2357%0.9914.3

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.

14.3%Headshot accuracy
35.6%Accuracy (enemy spotted)
41.2%Spray accuracy
71.0%Counter-strafing
11.5°Preaim
545msReaction time
37.5%T opening success
36.4%CT opening success
0.46Enemies flashed / flash
5.0%Flash assists
6.37HE damage / grenade
3.80Flashes / 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 14.2595% — below the 15% 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 0.4588 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 37.4682% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–110.0114%25 Oct →
nuke13–16-0.0610%24 Oct →
anubis9–13-0.0826%24 Oct →
dust23–13-0.0410%24 Oct →
dust213–60.0516%23 Oct →
ancient13–11-0.049%21 Oct →
ancient6–130.0013%21 Oct →
dust211–13-0.039%18 Oct →
nuke13–80.0123%18 Oct →
nuke13–70.0713%17 Oct →
anubis12–16-0.0412%17 Oct →
inferno13–7-0.0010%17 Oct →
ancient13–8-0.0412%17 Oct →
dust211–13-0.0212%17 Oct →
cache7–13-0.0511%16 Oct →
dust26–130.0027%13 Oct →
cache13–11-0.0015%13 Oct →
cache13–9-0.0413%11 Oct →
dust28–13-0.0621%9 Oct →
dust213–10-0.0612%3 Oct →
anubis13–90.0613%3 Oct →
cache5–13-0.056%3 Oct →
nuke13–50.0411%3 Oct →
ancient11–13-0.045%2 Oct →
cache9–13-0.0520%1 Oct →
ancient9–130.0010%29 Sept →
ancient9–13-0.0917%28 Sept →
dust213–10-0.0516%24 Sept →
ancient6–13-0.0517%22 Sept →
nuke13–100.0328%22 Sept →
inferno16–190.0216%20 Sept →
dust213–100.0411%19 Sept →
dust22–7-0.0423%19 Sept →
inferno16–130.0913%19 Sept →
nuke13–100.038%19 Sept →
inferno10–130.0316%18 Sept →
nuke4–13-0.0915%11 Sept →
cache13–60.029%10 Sept →
dust213–5-0.0013%10 Sept →
nuke8–13-0.0211%10 Sept →
dust213–90.0019%6 Sept →
cache13–9-0.0311%5 Sept →
anubis10–13-0.0313%5 Sept →
dust216–12-0.027%5 Sept →
nuke13–50.0320%5 Sept →
nuke4–13-0.078%5 Sept →
inferno11–13-0.0611%5 Sept →
anubis13–6-0.0515%3 Sept →
ancient13–40.0314%3 Sept →
cache13–80.0415%30 Aug →
nuke13–60.0515%29 Aug →
dust28–13-0.0810%29 Aug →
anubis13–80.0113%29 Aug →
ancient13–30.037%29 Aug →
dust22–13-0.078%29 Aug →
anubis8–13-0.0420%28 Aug →
nuke13–9-0.0410%28 Aug →
ancient13–11-0.0313%27 Aug →
dust213–2-0.0116%27 Aug →
cache13–20.116%27 Aug →
anubis13–11-0.0019%26 Aug →
dust213–6-0.0319%26 Aug →
cache13–6-0.038%26 Aug →
cache11–13-0.0712%23 Aug →
cache11–13-0.0217%22 Aug →
dust214–16-0.0513%22 Aug →
anubis13–80.0213%22 Aug →
cache13–160.0410%22 Aug →
ancient13–50.0515%22 Aug →
cache19–17-0.0413%21 Aug →
inferno5–13-0.063%20 Aug →
ancient13–8-0.0119%20 Aug →
cache2–13-0.1010%15 Aug →
anubis5–13-0.049%15 Aug →
inferno9–13-0.0320%15 Aug →
dust215–150.0421%15 Aug →
nuke6–130.0016%14 Aug →
anubis1–13-0.0820%14 Aug →
cache13–11-0.017%14 Aug →
nuke4–13-0.0924%14 Aug →
inferno7–13-0.0310%12 Aug →
dust28–13-0.0416%12 Aug →
ancient13–30.0514%10 Aug →
dust24–13-0.0613%8 Aug →
nuke4–13-0.0527%8 Aug →
nuke13–70.0111%8 Aug →
ancient13–9-0.029%8 Aug →
cache13–6-0.0411%8 Aug →
nuke11–13-0.075%8 Aug →
inferno13–90.0115%8 Aug →
ancient5–130.0510%8 Aug →
dust213–6-0.0116%7 Aug →
anubis13–6-0.0513%7 Aug →
dust29–13-0.0816%6 Aug →
cache13–9-0.0214%6 Aug →
anubis13–3-0.0317%6 Aug →
nuke13–40.0112%6 Aug →
mirage13–9-0.018%5 Aug →
cache6–13-0.0616%5 Aug →
dust216–14-0.0012%4 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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