skrundle

skrundle — CS2 Stats

76561199203089848[U:1:1242824120]Steam profile ↗✓ No bans

2,369Tracked matches36%Win rate2022Tracked since
1,559Hours in CS
CSDB Rating3.8 LearningPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

+18Tracked matches · now 2,369
−4.7ppWin rate · 40.7% → 36.0%

Rating over time

27Days played since 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim45
Positioning52
Utility30

0–100 skill scores via Leetify.

Recent form

COLD43–48–9Last 10043%Win rateLWLWLLLLWT

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · −1.2pp headshot accuracy · +5ms reaction

Win rate −10pp 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 -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 648ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 648ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 645ms

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 (+2.3 against its own average).

Aim4.5
Utility3.0
Positioning5.2
Opening Duels1.0
Clutch2.6

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 85% 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. 625ms 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

Aim4.5
Positioning5.2
Utility3.0
Mechanics5.4
Opening Duels1.6
Win Impact0.3

Composite 3.8/10 (Learning), 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+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time630ms−4ms
first ⅓ avg 634ms → last ⅓ avg 630ms
Headshot accuracy12.6%−1.4%
first ⅓ avg 14.1% → last ⅓ avg 12.6%

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

0.15Best match rating · 13–5 · nuke, 20 Oct →
29%Best headshot accuracy · 4–6 · nuke, 15 Oct →
445msFastest reaction time · 5–13 · anubis, 3 Oct →
13–2Biggest win · nuke, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 50% over 42dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB4221–2150%0.02
trainD93–633%-0.04
cacheC94–544%0.00
dust2D82–625%-0.02
ancientD62–433%0.01
mirageD62–433%-0.02
vertigoC52–340%-0.02
inferno—43–175%0.00
office—31–233%-0.06
anubis—31–233%0.02
shelter—21–150%-0.00
overpass—21–150%-0.04
poseidon—10–10%-0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,048Lifetime kills
0.96K/D
5,383Matches
32.9%Match win rate
42.2%Headshot %
4.8%Shot accuracy
6,457MVPs
1,559Hours (in match)
1,045Bombs planted
671Bombs defused

Most-used weapons

AK-4723,514
MP95,219
MAC-105,000
AWP4,649
MP72,253

Lifetime map wins

6,247nuke
3,307dust2
2,856inferno
2,082vertigo
1,551train
461office
212ar_shoots
169ar_baggage

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

Faceit stats

Combat

143Matches
45%Win rate
0.85Avg K/D
79.5ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3067%0.9013.7
Inferno2631%0.7711.7
Mirage2241%0.8011.9
Anubis1953%0.8313.5
Nuke1735%1.0115.3
Vertigo1638%0.8514.6
Dust240%0.428.0
Train475%0.9712.5

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.

13.3%Headshot accuracy
35.9%Accuracy (enemy spotted)
39.3%Spray accuracy
74.4%Counter-strafing
14.4°Preaim
625msReaction time
39.8%T opening success
32.9%CT opening success
0.31Enemies flashed / flash
6.8%Flash assists
8.87HE damage / grenade
1.49Flashes / 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 14.4023° — above the 12° mark we flag

    Aim Training →
  2. 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 13.3402% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3088 — 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.

25% win rate across 8 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
train7–13-0.0310%1 Nov →
cache13–80.0218%1 Nov →
nuke5–13-0.098%1 Nov →
nuke13–3-0.0215%1 Nov →
dust26–13-0.0718%1 Nov →
office5–13-0.1219%31 Oct →
cache11–13-0.104%30 Oct →
office7–13-0.0317%29 Oct →
nuke13–11-0.0113%28 Oct →
nuke12–120.0115%28 Oct →
nuke13–50.0726%27 Oct →
nuke10–130.0515%27 Oct →
nuke12–12-0.0516%27 Oct →
nuke2–130.019%26 Oct →
nuke13–40.0714%26 Oct →
nuke13–30.0212%26 Oct →
nuke12–12-0.0115%26 Oct →
nuke13–110.068%26 Oct →
cache7–130.0414%23 Oct →
dust212–12-0.0419%23 Oct →
train11–13-0.0811%23 Oct →
cache12–120.0212%23 Oct →
cache4–130.089%23 Oct →
nuke1–50.0917%22 Oct →
nuke11–13-0.0210%21 Oct →
inferno4–130.029%21 Oct →
dust25–13-0.0110%21 Oct →
ancient4–130.0116%21 Oct →
nuke13–30.0313%21 Oct →
cache13–100.089%21 Oct →
nuke9–130.008%20 Oct →
nuke13–50.159%20 Oct →
mirage4–13-0.080%20 Oct →
nuke13–80.0123%19 Oct →
vertigo10–130.0016%19 Oct →
nuke13–3-0.019%19 Oct →
nuke13–60.038%19 Oct →
shelter10–130.0318%18 Oct →
shelter9–2-0.0422%18 Oct →
overpass13–8-0.0812%17 Oct →
train12–12-0.058%17 Oct →
nuke16–120.0115%17 Oct →
mirage13–90.0610%17 Oct →
nuke3–13-0.0418%17 Oct →
cache13–5-0.0227%17 Oct →
nuke10–130.026%17 Oct →
vertigo7–13-0.0514%17 Oct →
nuke4–6-0.0729%15 Oct →
nuke13–60.0713%15 Oct →
nuke13–50.0316%15 Oct →
nuke7–130.0617%15 Oct →
nuke13–80.0212%15 Oct →
ancient11–130.0322%15 Oct →
dust24–13-0.0215%14 Oct →
mirage9–130.0117%14 Oct →
inferno13–100.0113%14 Oct →
inferno13–11-0.0014%14 Oct →
nuke1–13-0.0126%11 Oct →
nuke10–13-0.0614%11 Oct →
dust213–90.029%9 Oct →
mirage13–8-0.1217%9 Oct →
train13–10-0.066%9 Oct →
train10–130.0028%9 Oct →
train13–9-0.078%9 Oct →
anubis6–130.0118%8 Oct →
anubis13–80.0316%8 Oct →
nuke12–120.0413%7 Oct →
train13–8-0.0223%7 Oct →
train5–13-0.039%7 Oct →
nuke13–20.0521%7 Oct →
nuke7–130.0313%6 Oct →
nuke11–13-0.0121%5 Oct →
ancient13–60.0514%5 Oct →
mirage5–13-0.0315%3 Oct →
anubis5–130.029%3 Oct →
ancient6–13-0.0315%3 Oct →
nuke12–120.0513%30 Sept →
inferno11–5-0.0317%27 Sept →
ancient13–100.0415%27 Sept →
dust213–9-0.0512%27 Sept →
train9–13-0.0112%27 Sept →
mirage5–130.0112%25 Sept →
nuke1–13-0.0029%25 Sept →
nuke13–20.0714%25 Sept →
nuke13–60.0712%25 Sept →
cache13–4-0.0820%25 Sept →
nuke13–2-0.044%25 Sept →
office13–8-0.0414%24 Sept →
overpass9–130.018%24 Sept →
vertigo13–70.0317%24 Sept →
nuke6–130.0023%24 Sept →
nuke13–80.0317%24 Sept →
ancient1–13-0.029%24 Sept →
dust26–130.038%24 Sept →
nuke13–90.089%24 Sept →
cache5–13-0.048%24 Sept →
dust29–13-0.0114%24 Sept →
vertigo13–50.0215%24 Sept →
vertigo6–13-0.109%24 Sept →
poseidon8–8-0.1215%24 Sept →

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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