★JackDonald

★JackDonald — CS2 Stats

NO76561198128604403[U:1:168338675]Steam profile ↗✓ No bans

580Tracked matches55%Win rate2020Tracked since
3,756Hours in CS2Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG★JackDonaldFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning54
Utility65

0–100 skill scores via Leetify.

Recent form

HOT52–45–3Last 10052%Win rateWWWWWLWLWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · +59ms reaction

Win rate up 30pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 558ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 529ms

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 against its own average).

Aim7.7
Utility6.5
Positioning5.4
Opening Duels1.5

Strong T-side opener

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 84% 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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 55% on T to 24% on CT — first contacts on the defending side are being lost.

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

Aim7.7
Positioning5.4
Utility6.5
Mechanics7.3
Opening Duels3.1
Win Impact6.7

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time523ms−73ms
first ⅓ avg 596ms → last ⅓ avg 523ms
Headshot accuracy15.5%−2.2%
first ⅓ avg 17.7% → last ⅓ avg 15.5%

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

0.16Best match rating · 13–2 · ancient, 8 Jun →
42%Best headshot accuracy · 3–13 · mirage, 4 Sept →
406msFastest reaction time · 7–13 · dust2, 10 Oct →
13–1Biggest win · inferno, 9 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
6–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 71% over 7cacheWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC229–1341%0.01
mirageA2213–959%0.02
cacheC156–940%-0.01
dust2B147–750%-0.02
ancientS139–469%-0.00
anubisS75–271%-0.00
nuke—31–233%-0.03
vertigo—11–0100%-0.05
office—10–10%-0.07
train—11–0100%-0.00
overpass—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

128,569Lifetime kills
1.24K/D
6,230Matches
44.0%Match win rate
39.0%Headshot %
16.4%Shot accuracy
11,566MVPs
2,635Hours (in match)
4,372Bombs planted
1,331Bombs defused

Most-used weapons

AK-4737,126
AWP33,676
P2502,637
Knife2,551
SSG 082,131
P901,731

Lifetime map wins

11,827inferno
7,518dust2
2,023train
1,660nuke
1,028vertigo
996cbble
305office
250lake

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.

15.9%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.0%Spray accuracy
82.8%Counter-strafing
8.2°Preaim
515msReaction time
55.1%T opening success
23.8%CT opening success
0.51Enemies flashed / flash
5.0%Flash assists
9.49HE damage / grenade
16.98Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 23.844% — below the 40% mark we flag

Spend your practice time on Cache

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–10.1318%9 Nov →
inferno13–11-0.0224%26 Oct →
dust213–100.0227%26 Oct →
dust213–11-0.0512%26 Oct →
dust213–50.014%26 Oct →
inferno6–130.019%25 Oct →
vertigo9–4-0.050%11 Oct →
office2–13-0.070%11 Oct →
ancient13–40.0511%11 Oct →
dust27–13-0.0421%10 Oct →
cache16–130.0016%10 Oct →
inferno10–130.0013%10 Oct →
train13–5-0.0010%10 Oct →
mirage13–70.0217%9 Oct →
dust25–130.0014%9 Oct →
mirage3–130.0611%9 Oct →
mirage15–150.0821%8 Oct →
anubis13–4-0.0118%5 Oct →
ancient1–13-0.0514%1 Oct →
dust211–13-0.0313%1 Oct →
inferno11–130.0021%30 Sept →
dust213–6-0.0128%29 Sept →
mirage12–9-0.0121%29 Sept →
ancient13–30.0331%29 Sept →
cache11–130.0611%28 Sept →
mirage13–100.0117%28 Sept →
cache3–13-0.0221%28 Sept →
dust210–13-0.0215%27 Sept →
ancient11–130.019%27 Sept →
mirage13–8-0.0318%27 Sept →
inferno11–13-0.0025%26 Sept →
dust213–8-0.036%26 Sept →
mirage10–13-0.0215%26 Sept →
cache9–13-0.0223%25 Sept →
inferno13–110.0819%25 Sept →
mirage13–70.0528%25 Sept →
dust27–130.0130%25 Sept →
cache16–12-0.0621%25 Sept →
nuke8–13-0.068%25 Sept →
cache4–130.006%25 Sept →
anubis13–30.0014%25 Sept →
nuke13–7-0.0111%6 Sept →
inferno13–70.0618%6 Sept →
inferno15–150.0625%4 Sept →
cache14–16-0.0713%4 Sept →
mirage3–13-0.0142%4 Sept →
mirage13–90.0115%4 Sept →
inferno13–2-0.0320%4 Sept →
mirage16–12-0.0021%26 Aug →
mirage4–20.1017%26 Aug →
cache8–13-0.1026%26 Aug →
dust211–13-0.1021%25 Aug →
dust213–8-0.009%25 Aug →
cache13–8-0.049%25 Aug →
inferno13–9-0.0119%25 Aug →
mirage13–4-0.0019%25 Aug →
ancient12–16-0.0712%25 Aug →
mirage13–10-0.0212%12 Aug →
ancient13–11-0.0712%12 Aug →
cache13–2-0.0311%12 Aug →
inferno13–6-0.034%21 Jul →
cache13–160.0123%9 Jul →
ancient13–7-0.0312%9 Jul →
inferno5–13-0.059%9 Jul →
mirage9–13-0.058%9 Jul →
cache13–3-0.0112%9 Jul →
anubis13–7-0.0118%2 Jul →
cache13–50.0622%2 Jul →
anubis10–13-0.007%21 Jun →
inferno6–130.0114%20 Jun →
mirage3–13-0.0110%20 Jun →
cache11–13-0.0114%20 Jun →
inferno4–13-0.0214%19 Jun →
cache4–130.0132%19 Jun →
mirage16–130.0915%18 Jun →
mirage5–13-0.0435%18 Jun →
inferno10–130.0313%18 Jun →
mirage11–13-0.0214%18 Jun →
ancient16–140.0020%17 Jun →
inferno2–13-0.0818%17 Jun →
ancient13–100.0612%16 Jun →
nuke7–13-0.0019%16 Jun →
inferno8–13-0.0218%16 Jun →
dust213–80.0927%15 Jun →
anubis13–50.0622%15 Jun →
ancient11–13-0.059%14 Jun →
mirage10–130.1418%10 Jun →
anubis13–7-0.0115%10 Jun →
inferno9–130.0113%10 Jun →
dust29–13-0.0622%10 Jun →
mirage13–50.0114%10 Jun →
ancient13–9-0.0414%10 Jun →
inferno9–130.0110%10 Jun →
mirage13–30.0226%10 Jun →
anubis10–13-0.0319%8 Jun →
overpass15–15-0.0117%8 Jun →
ancient13–20.1626%8 Jun →
inferno13–70.0826%4 Jun →
inferno13–50.0815%4 Jun →
ancient13–6-0.0113%4 Jun →

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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