ImTheAbbleGuy

ImTheAbbleGuy — CS2 Stats

NO76561199205350002[U:1:1245084274]Steam profile ↗✓ No bans

1,239Tracked matches56%Win rate2022Tracked since
1,695Hours in CS28Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating11,587Blue band · top ~46.5% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 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: 11,587 +2,044 25 Aug – 26 Oct · 24 days played
8,81112,620peak 12,62025 Aug26 Oct
12,673Peak Premier in tracked matches
32Days played since 2026-08-25

Premier CS Rating

  • 1,033 below peak (12,620)
  • -322 over 30 days · steady
  • Next: Purple band at 15,000 — 3,413 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.7%42.0%44.4%6.7% short
Shot accuracy0.8%9.6%11.9%11.1% short
Kill/death ratio0.940.981.030.09 short
Match win rate41.4%43.8%45.2%3.8% short

This profile sits below the typical Purple band player on every metric we can compare.

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

Share this profile

CSDB.GGImTheAbbleGuyPREMIER11,587 · Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning53
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateWLLWTWLLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −2.3pp headshot accuracy · +28ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 12%
  • Avg reaction 620ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 12%
  • Avg reaction 622ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 608ms

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 (+2.4 against its own average).

Aim6.0
Utility3.3
Positioning5.3
Opening Duels2.9
Clutch0.0

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

m0NESY

Plays most like m0NESY 88% 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

Reaction time. 616ms 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

Aim6.0
Positioning5.3
Utility3.3
Mechanics7.3
Opening Duels3.3
Win Impact6.9

Composite 5.2/10 (Developing), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time618ms−12ms
first ⅓ avg 630ms → last ⅓ avg 618ms
Headshot accuracy14.1%+1.1%
first ⅓ avg 13.0% → last ⅓ avg 14.1%

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

0.23Best match rating · 9–5 · eldorado, 25 Oct →
33%Best headshot accuracy · 13–4 · cache, 14 Oct →
453msFastest reaction time · 9–13 · vertigo, 24 Sept →
13–0Biggest win · train, 21 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 65% over 20dust2Weakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoS2013–765%0.03
dust2D122–1017%-0.01
nukeA116–555%-0.02
cacheB115–645%0.01
vertigoD103–730%0.01
ancientA95–456%-0.00
anubisA74–357%-0.00
mirageA53–260%-0.00
overpassC52–340%-0.03
officeC52–340%0.08
train—21–150%0.05
italy—11–0100%-0.03
eldorado—11–0100%0.23
poseidon—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,977Lifetime kills
0.94K/D
3,043Matches
41.4%Match win rate
37.7%Headshot %
0.8%Shot accuracy
8,502MVPs
713Hours (in match)
2,046Bombs planted
487Bombs defused

Most-used weapons

AK-477,746
AWP2,845
MP71,423
P901,406
FAMAS1,316
SSG 081,213
MAC-101,144

Lifetime map wins

6,105inferno
4,509nuke
2,909vertigo
1,863dust2
360office
282train
53italy
38cbble

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

Faceit stats

Combat

14Matches
71%Win rate
0.83Avg K/D
73.5ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno875%0.7013.5
Ancient475%0.9815.5
Anubis10%0.8113.0
Nuke1100%1.2922.0

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.

14.4%Headshot accuracy
33.1%Accuracy (enemy spotted)
32.6%Spray accuracy
82.8%Counter-strafing
9.6°Preaim
616msReaction time
43.3%T opening success
43.4%CT opening success
0.32Enemies flashed / flash
3.0%Flash assists
11.92HE damage / grenade
5.01Flashes / 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 14.3779% — 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 0.3155 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
italy13–6-0.0324%26 Oct →
inferno10–130.049%26 Oct →
dust211–130.0612%26 Oct →
eldorado9–50.236%25 Oct →
vertigo8–80.059%25 Oct →
inferno9–40.1516%25 Oct →
inferno9–130.0112%25 Oct →
inferno5–130.0710%25 Oct →
nuke9–13-0.088%25 Oct →
inferno13–60.0113%24 Oct →
dust215–150.0319%24 Oct →
vertigo11–13-0.0611%24 Oct →
dust27–130.0213%24 Oct →
dust213–90.0511%24 Oct →
nuke7–130.0318%23 Oct →
inferno13–70.0716%23 Oct →
vertigo12–120.0312%22 Oct →
train13–00.0913%21 Oct →
cache13–80.1215%21 Oct →
inferno15–15-0.0014%20 Oct →
mirage13–10-0.0610%20 Oct →
overpass10–13-0.0411%16 Oct →
anubis13–70.0212%15 Oct →
nuke13–110.0714%15 Oct →
nuke13–3-0.0315%15 Oct →
dust210–13-0.0416%14 Oct →
cache14–160.0012%14 Oct →
cache13–40.0633%14 Oct →
cache7–13-0.0319%14 Oct →
office13–110.0417%9 Oct →
inferno16–120.1119%9 Oct →
ancient13–60.0611%26 Sept →
vertigo13–3-0.1013%24 Sept →
vertigo9–130.1027%24 Sept →
ancient9–13-0.0118%16 Sept →
vertigo12–120.025%16 Sept →
overpass11–2-0.018%16 Sept →
vertigo6–130.0212%15 Sept →
dust24–13-0.119%14 Sept →
mirage13–70.0615%14 Sept →
inferno8–80.0810%14 Sept →
poseidon9–60.0416%14 Sept →
nuke1–9-0.2019%14 Sept →
vertigo13–60.078%14 Sept →
overpass9–6-0.0811%14 Sept →
overpass12–120.0212%14 Sept →
anubis13–9-0.0310%14 Sept →
vertigo11–13-0.0117%13 Sept →
ancient13–40.0014%12 Sept →
nuke13–9-0.0214%11 Sept →
nuke9–20.066%10 Sept →
dust28–13-0.0116%10 Sept →
inferno13–50.0310%10 Sept →
anubis13–11-0.038%9 Sept →
cache3–13-0.0910%9 Sept →
dust213–100.0415%9 Sept →
overpass11–13-0.0219%8 Sept →
cache10–130.0618%8 Sept →
inferno13–110.016%8 Sept →
inferno13–6-0.0013%8 Sept →
ancient6–130.039%8 Sept →
ancient7–13-0.0114%8 Sept →
inferno13–4-0.055%7 Sept →
nuke7–13-0.0324%7 Sept →
inferno13–11-0.0312%7 Sept →
inferno13–70.0214%5 Sept →
nuke13–4-0.0722%5 Sept →
mirage13–110.0016%4 Sept →
inferno13–110.0411%3 Sept →
dust25–13-0.0818%3 Sept →
inferno13–30.058%3 Sept →
anubis8–130.016%3 Sept →
nuke13–60.035%3 Sept →
ancient13–3-0.0311%3 Sept →
cache9–13-0.027%3 Sept →
vertigo13–100.0213%3 Sept →
office9–130.0517%3 Sept →
office7–130.1225%2 Sept →
anubis13–80.0514%2 Sept →
inferno13–110.108%2 Sept →
ancient9–13-0.0111%2 Sept →
office11–00.1817%2 Sept →
office7–130.0118%2 Sept →
cache13–9-0.0014%2 Sept →
dust28–13-0.0218%2 Sept →
anubis15–150.0110%1 Sept →
nuke3–130.0114%1 Sept →
mirage10–130.0617%1 Sept →
ancient16–140.0212%1 Sept →
cache6–13-0.0313%1 Sept →
train6–130.016%1 Sept →
inferno8–13-0.016%28 Aug →
ancient13–8-0.0613%27 Aug →
dust211–13-0.0211%27 Aug →
anubis11–13-0.0414%27 Aug →
cache13–60.0422%26 Aug →
cache13–6-0.0515%26 Aug →
dust210–130.0018%25 Aug →
mirage3–13-0.075%25 Aug →
inferno7–9-0.0515%25 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 →

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