Pidgeon Drill instructor

Pidgeon Drill instructor — CS2 Stats

76561198368017422[U:1:407751694]Steam profile ↗✓ No bans

1,880Tracked matches64%Win rate2023Tracked since
2,385Hours in CS7Hrs last 2 wks
CSDB Rating6.2 SolidSupport
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,198 → 1,198
+8Tracked matches · now 1,880
0.0ppWin rate · 64.3% → 64.3%

Rating over time

Faceit ELO: 1,198 +0 28 Aug – 4 Oct · 3 observations
1,1981,198peak 1,19828 Aug4 Oct
1,198Highest Faceit ELO seen on CSDB
27Days played since 2026-06-14

Faceit ELO

  • At peak — 1,198
  • 0 over 30 days · steady
  • Next: Level 6 at 1,201 — 3 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-28
  • Level 4 first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGPidgeon Drill instructor30 DAYS0 ELOPEAK ELO1,198csdb.gg/stats

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Performance scores

Aim73
Positioning55
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY59–32–9Last 10059%Win rateWLWWLWWTLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +3.2pp headshot accuracy · +30ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 580ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 612ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 597ms

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 (+2.3 against its own average).

Aim7.3
Utility6.8
Positioning5.5
Opening Duels2.6
Clutch3.0

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

ZywOo

Plays most like ZywOo 89% 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

CT openings. Opening success drops from 56% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 582ms 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

Aim7.3
Positioning5.5
Utility6.8
Mechanics7.5
Opening Duels4.6
Win Impact9.8

Composite 6.2/10 (Solid), 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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time592ms−9ms
first ⅓ avg 601ms → last ⅓ avg 592ms
Headshot accuracy21.9%−5.2%
first ⅓ avg 27.1% → last ⅓ avg 21.9%

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

0.19Best match rating · 13–0 · inferno, 14 Jun →
50%Best headshot accuracy · 7–2 · cache, 9 Oct →
438msFastest reaction time · 13–2 · nuke, 11 Sept →
13–0Biggest win · anubis, 28 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 71% over 14dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA2012–860%-0.00
infernoA1610–663%0.00
cacheS1410–471%0.02
anubisA116–555%0.01
vertigoC104–640%0.01
overpassA85–363%0.02
dust2D51–420%-0.03
ancient—43–175%0.03
train—43–175%0.05
mirage—31–233%-0.02
shelter—21–150%0.02
boulder—22–0100%-0.00
fachwerk—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,022Lifetime kills
1.05K/D · Top 50% of tracked players
3,207Matches
44.7%Match win rate
44.8%Headshot % · Top 50% of tracked players
6.1%Shot accuracy
5,800MVPs
1,071Hours (in match)
1,349Bombs planted
445Bombs defused

Most-used weapons

Lifetime map wins

4,530inferno
4,252nuke
3,294dust2
2,166vertigo
820train
173lake
163bank
128safehouse

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

Faceit stats

Combat

41Matches
63%Win rate
1.00Avg K/D
76.8ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno967%1.1615.7
Ancient967%1.1917.6
Dust2944%0.7914.3
Nuke888%1.1716.9
Mirage425%0.425.5
Overpass2100%0.8817.5

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.

20.7%Headshot accuracy
35.3%Accuracy (enemy spotted)
34.4%Spray accuracy
83.6%Counter-strafing
10.5°Preaim
582msReaction time
56.0%T opening success
40.7%CT opening success
0.59Enemies flashed / flash
16.5%Flash assists
9.44HE damage / grenade
18.34Flashes / match

Recommended for you

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.

20% win rate across 5 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
inferno13–8-0.0114%17 Oct →
vertigo9–13-0.0026%17 Oct →
anubis13–110.0316%17 Oct →
nuke13–7-0.0415%17 Oct →
cache7–130.0324%17 Oct →
cache13–11-0.0016%16 Oct →
cache7–2-0.1150%9 Oct →
mirage12–12-0.0517%9 Oct →
nuke6–13-0.1010%27 Sept →
overpass3–13-0.0719%27 Sept →
nuke12–12-0.0221%27 Sept →
nuke13–10-0.0612%27 Sept →
nuke4–13-0.0617%27 Sept →
dust211–130.014%26 Sept →
nuke13–70.0328%26 Sept →
vertigo13–11-0.0325%26 Sept →
cache8–13-0.0223%26 Sept →
anubis13–80.0222%25 Sept →
nuke13–50.066%24 Sept →
vertigo13–80.0418%22 Sept →
vertigo8–13-0.0122%21 Sept →
inferno9–130.0130%21 Sept →
mirage13–80.0423%21 Sept →
dust29–13-0.0234%21 Sept →
overpass13–100.0027%20 Sept →
inferno13–4-0.0329%20 Sept →
cache13–50.1124%20 Sept →
inferno13–60.0328%20 Sept →
ancient13–11-0.0130%20 Sept →
overpass13–10.059%20 Sept →
vertigo13–110.0834%20 Sept →
cache10–13-0.0228%20 Sept →
inferno13–7-0.0125%20 Sept →
nuke9–130.0326%20 Sept →
nuke13–80.1136%19 Sept →
inferno12–12-0.0510%19 Sept →
overpass13–50.0319%19 Sept →
cache13–6-0.0216%19 Sept →
anubis7–13-0.0415%19 Sept →
vertigo13–70.0721%19 Sept →
mirage6–13-0.0533%11 Sept →
nuke13–20.0625%11 Sept →
dust25–13-0.0533%11 Sept →
inferno9–7-0.0211%11 Sept →
nuke13–80.0226%11 Sept →
cache13–100.0620%11 Sept →
cache13–70.0047%11 Sept →
inferno14–16-0.0711%11 Sept →
nuke12–12-0.0617%28 Aug →
anubis13–00.0232%28 Aug →
inferno9–130.0121%28 Aug →
train13–5-0.0130%28 Aug →
cache5–13-0.0420%28 Aug →
nuke13–7-0.0334%28 Aug →
inferno13–30.0524%28 Aug →
vertigo3–130.0023%27 Aug →
cache13–90.0529%27 Aug →
overpass13–80.0418%27 Aug →
ancient12–120.0922%27 Aug →
anubis9–130.0434%27 Aug →
train13–60.1127%22 Aug →
nuke12–12-0.0115%22 Aug →
overpass13–80.0029%22 Aug →
vertigo12–12-0.0436%22 Aug →
cache13–30.0626%22 Aug →
inferno13–60.0614%22 Aug →
train7–13-0.0221%22 Aug →
inferno13–70.0027%20 Aug →
nuke13–90.0332%20 Aug →
cache13–50.0835%20 Aug →
anubis10–130.0143%20 Aug →
inferno4–13-0.0315%14 Aug →
nuke9–130.0317%14 Aug →
anubis13–80.0330%13 Aug →
overpass12–120.0122%13 Aug →
nuke5–13-0.0140%8 Aug →
ancient19–150.0322%30 Jul →
nuke13–4-0.0524%30 Jul →
dust213–8-0.0627%30 Jul →
shelter12–120.0226%23 Jul →
anubis16–13-0.0121%23 Jul →
nuke13–90.0236%17 Jul →
ancient13–110.0312%16 Jul →
anubis13–60.0616%16 Jul →
anubis11–13-0.0017%16 Jul →
nuke13–70.0327%9 Jul →
shelter13–70.0230%9 Jul →
boulder13–6-0.0215%9 Jul →
boulder13–110.0146%9 Jul →
fachwerk5–50.0235%9 Jul →
cache13–20.0528%9 Jul →
anubis10–13-0.0021%4 Jul →
inferno11–13-0.0434%4 Jul →
dust28–13-0.0427%4 Jul →
vertigo8–13-0.0125%2 Jul →
inferno13–11-0.0526%2 Jul →
overpass9–130.0825%2 Jul →
vertigo4–13-0.0035%14 Jun →
train13–20.1430%14 Jun →
inferno13–00.1929%14 Jun →

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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